{ "data_version": "1", "schema": "https://whatledto.com/data", "id": "google", "name": "Google", "kind": "company", "url": "https://whatledto.com/who/google", "description": "", "same_as": [], "timelines": [ { "slug": "google-gemini-model-releases", "title": "Google Gemini: From 1.0 to the Flash Releases That Replaced a Pro", "url": "https://whatledto.com/events/google-gemini-model-releases", "json": "https://whatledto.com/events/google-gemini-model-releases.json", "role": "Developer and operator of the Gemini API, which sets model availability, pricing, aliases, and retirement schedules.", "entries": 70, "updated_at": "2026-10-16T08:25:44.672197+00:00" }, { "slug": "anthropic-model-releases", "title": "Anthropic's Claude: From the Claude 3 Family to a Model the Government Switched Off", "url": "https://whatledto.com/events/anthropic-model-releases", "json": "https://whatledto.com/events/anthropic-model-releases.json", "role": "Its Google Cloud service is among the listed availability channels for Claude Sonnet 5.5.", "entries": 0, "updated_at": "2026-10-14T06:38:55.835554+00:00" }, { "slug": "hyperscaler-custom-accelerators", "title": "Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip", "url": "https://whatledto.com/events/hyperscaler-custom-accelerators", "json": "https://whatledto.com/events/hyperscaler-custom-accelerators.json", "role": "Develops TPU accelerators and is expanding their use from Google Cloud into large customer and neocloud deployments.", "entries": 15, "updated_at": "2026-10-14T06:27:24.396104+00:00" } ], "entries": [ { "timeline": "google-gemini-model-releases", "id": 2195, "url": "https://whatledto.com/events/google-gemini-model-releases#n2195", "date": "2026-10-13", "date_precision": "day", "title": "Agentic video understanding reaches general availability", "summary": "Google announced that agentic video understanding was generally available. The announcement stated that the capability had reached general availability.", "type": "announcement", "entities": [ "Google", "Gemini API", "Gemini 4 Argon", "agentic video understanding" ], "parties": [ "google", "gemini-api", "gemini-4-argon", "agentic-video-understanding" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/latest-model", "outlet": "Google AI for Developers", "published": "2026-10-13", "quote": "Agentic video understanding is generally available: Agentic video understanding is now generally available." } ] }, { "timeline": "google-gemini-model-releases", "id": 2194, "url": "https://whatledto.com/events/google-gemini-model-releases#n2194", "date": "2026-10-13", "date_precision": "day", "title": "The million-token limit turns out to be unified, not a million tokens of output", "summary": "At general availability Google described Argon’s headline number as \"an industry-leading 1M unified input-output token limit via the Gemini API\", and pointed developers to a new continuation protocol for working within it. The announcement two weeks earlier, recorded on this page, had described the same million as the model’s output-token limit, raised from 64,000. A unified million that input, reasoning and output all draw on is a much tighter envelope than a million of output on top of whatever was sent in, and nothing in either post reconciles the two descriptions.", "type": "launch", "entities": [ "Google", "Gemini 4 Argon", "Gemini API" ], "parties": [ "google", "gemini-4-argon", "gemini-api" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/", "outlet": "Google", "published": "2026-10-13", "quote": "This is enabled by an industry-leading 1M unified input-output token limit via the Gemini API." } ] }, { "timeline": "google-gemini-model-releases", "id": 2192, "url": "https://whatledto.com/events/google-gemini-model-releases#n2192", "date": "2026-10-13", "date_precision": "day", "title": "Google puts Argon on robots and claims 87 percent on the embodied-reasoning benchmark", "summary": "On the day Argon went generally available Google also published its robotics case for it, and the claim is that no separate robotics model is needed: the same general-purpose model scores 87 percent on the Embodied Reasoning benchmark “using pure reasoning”, which Google says beats every other frontier model. The post walks through robot control, reconstructing calibrated simulations from camera feeds or hand-drawn sketches, and self-improvement, including Argon building a MuJoCo twin of a foot-pedal bin to rehearse before working a Boston Dynamics Spot on the real one. It is Google’s own benchmark figure, not an independent result.", "type": "other", "entities": [ "Google", "Google DeepMind", "Boston Dynamics" ], "parties": [ "google", "google-deepmind", "boston-dynamics" ], "sources": [ { "url": "https://developers.googleblog.com/gemini-4-argon-for-robotics", "outlet": "Google", "published": "2026-10-13", "quote": "You can see this leap in capability on the Embodied Reasoning (ERQA) benchmark, which tests a model's ability to understand and solve physical, spatial problems in 3D environments. Using pure reasoning, Argon scores 87%, outperforming every other frontier model." } ] }, { "timeline": "google-gemini-model-releases", "id": 2191, "url": "https://whatledto.com/events/google-gemini-model-releases#n2191", "date": "2026-10-13", "date_precision": "day", "title": "Gemini 4 Argon opens to everyone, and the Fairwind version is the one without guardrails", "summary": "Google made Gemini 4 Argon generally available on 13 October, giving \"developers, enterprises, scientists, and consumers\" access to the endpoint gemini-4-argon, thirteen days after announcing it as a rollout to a set of trusted cyber defenders. The same post expands that original programme too — \"hundreds of additional Fairwind Program partners\" — and makes plain that the two are not the same model: cybersecurity defenders can apply to Fairwind for Argon \"without cyber guardrails\", while the public endpoint keeps them.", "type": "other", "entities": [ "Google", "Google DeepMind" ], "parties": [ "google", "google-deepmind" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/", "outlet": "Google", "published": "2026-10-13", "quote": "We’re giving developers, enterprises, scientists, and consumers access to our latest frontier model." }, { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/", "outlet": "Google", "published": "2026-10-13", "quote": "We’re giving developers, enterprises, scientists, and consumers access to our latest frontier model." } ] }, { "timeline": "google-gemini-model-releases", "id": 2190, "url": "https://whatledto.com/events/google-gemini-model-releases#n2190", "date": "2026-10-13", "date_precision": "day", "title": "Argon’s introductory price gets an end date, and the flagship ships with no free tier", "summary": "Google’s announcement footnotes the end of the introductory rate this page recorded on 30 September: from 1 December 2026, after the introductory period expires on 30 November, Argon costs $4 per million input tokens and $20 per million output tokens — double the launch price. The footnote adds that this \"applies to the Argon model intended for public access only\". The pricing page shows the same schedule for context caching, $0.10 doubling to $0.20 with implicit caching only, and lists no free tier for Argon at all, where Gemini 3.8 Flash is still free of charge.", "type": "other", "entities": [ "Google" ], "parties": [ "google" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/", "outlet": "Google", "published": "2026-10-13", "quote": "After the introductory period expires on November 30, 2026, the price of $4 per 1M input tokens and $20 per 1M output tokens will apply. Applies to the Argon model intended for public access only." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 2142, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n2142", "date": "2026-10-09", "date_precision": "day", "title": "Google claims TPU 8i has 80% better price-performance", "summary": "Google Cloud said its TPU 8i system delivers 80% better price-performance than the prior generation. Google Cloud linked the claim to agent tasks.", "type": "other", "entities": [ "Google", "TPU 8i" ], "parties": [ "google", "tpu-8i" ], "sources": [ { "url": "https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026", "outlet": "Google Cloud", "published": "2026-10-09", "quote": "For example, our latest TPU 8i system delivers 80% better price-performance than the prior generation, making complex, high-value agent tasks both fast and highly affordable." } ] }, { "timeline": "google-gemini-model-releases", "id": 2193, "url": "https://whatledto.com/events/google-gemini-model-releases#n2193", "date": "2026-10-08", "date_precision": "day", "title": "Google deprecates Deep Research Pro preview agent", "summary": "Google deprecated the deep-research-pro-preview-12-2025 agent. Google said the agent would be shut down on 2026-10-23.", "type": "announcement", "entities": [ "Google", "deep-research-pro-preview-12-2025" ], "parties": [ "google", "deep-research-pro-preview-12-2025" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-10-08", "quote": "The deep-research-pro-preview-12-2025 agent is deprecated and will be shut down on October 23, 2026." } ] }, { "timeline": "google-gemini-model-releases", "id": 2069, "url": "https://whatledto.com/events/google-gemini-model-releases#n2069", "date": "2026-10-08", "date_precision": "day", "title": "Google deprecates Gemini 3.7 Flash and 3.5 Flash in one changelog entry", "summary": "Google's API changelog marked gemini-3.7-flash deprecated and replaced by gemini-3.8-flash, and gemini-3.5-flash deprecated and replaced by gemini-3.6-flash. Requests to the retired model strings are routed to the replacements automatically.", "type": "announcement", "entities": [ "Google", "Gemini 3.7 Flash", "Gemini 3.8 Flash" ], "parties": [ "google", "gemini-37-flash", "gemini-38-flash" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog?release=09-18-2026", "outlet": "Google AI for Developers", "published": "2026-10-08", "quote": "gemini-3.7-flash is deprecated and has been replaced by gemini-3.8-flash." }, { "url": "https://ai.google.dev/gemini-api/docs/changelog?release=09-18-2026", "outlet": "Google AI for Developers", "published": "2026-10-08", "quote": "gemini-3.5-flash is deprecated and has been replaced by gemini-3.6-flash." } ] }, { "timeline": "google-gemini-model-releases", "id": 2068, "url": "https://whatledto.com/events/google-gemini-model-releases#n2068", "date": "2026-10-06", "date_precision": "day", "title": "Google deprecates Gemini 3.1 Flash Image", "summary": "Google deprecated the gemini-3.1-flash-image model. Google announced no shutdown date for the model.", "type": "announcement", "entities": [ "Google", "Gemini 3.1 Flash Image" ], "parties": [ "google", "gemini-31-flash-image" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog?release=09-18-2026", "outlet": "Google AI for Developers", "published": "2026-10-06", "quote": "The gemini-3.1-flash-image model is deprecated (no shutdown date announced)." } ] }, { "timeline": "google-gemini-model-releases", "id": 2067, "url": "https://whatledto.com/events/google-gemini-model-releases#n2067", "date": "2026-10-06", "date_precision": "day", "title": "Google releases Gemini Nano Banana 2.1", "summary": "Google released Gemini Nano Banana 2.1, identified as a high-efficiency image-generation and conversational-editing model. Google described it as the more efficient counterpart to Gemini 3 Pro Image and listed standard image-output pricing at $30 per million tokens.", "type": "launch", "entities": [ "Google", "Gemini Nano Banana 2.1", "Gemini 3 Pro Image" ], "parties": [ "google", "gemini-nano-banana-21", "gemini-3-pro-image" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog?release=09-18-2026", "outlet": "Google AI for Developers", "published": "2026-10-06", "quote": "Released Gemini Nano Banana 2.1 (gemini-nano-banana-2.1), the latest high-efficiency image generation and conversational editing model." }, { "url": "https://ai.google.dev/gemini-api/docs/models/gemini-nano-banana-2.1?hl=en", "outlet": "Google AI for Developers", "published": "2026-10-06", "quote": "It serves as the more efficient counterpart to\nGemini 3 Pro Image (Nano Banana\nPro)." }, { "url": "https://ai.google.dev/gemini-api/docs/pricing", "outlet": "Google AI for Developers", "published": "2026-10-09", "quote": "Image output is priced at $30 per 1,000,000 tokens (Standard) and\n$15 per 1,000,000 tokens (Batch)." } ] }, { "timeline": "google-gemini-model-releases", "id": 1782, "url": "https://whatledto.com/events/google-gemini-model-releases#n1782", "date": "2026-09-30", "date_precision": "day", "title": "Google sets Gemini 4 Argon's introductory token pricing", "summary": "Google set Gemini 4 Argon's introductory price at $2 per million input tokens and $10 per million output tokens. Cached input tokens are priced at 95% off the input-token price during the introductory period.", "type": "financial", "entities": [ "Google", "Gemini 4 Argon" ], "parties": [ "google", "gemini-4-argon" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/", "outlet": "Google Blog", "published": "2026-09-30", "quote": "Argon will launch at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price." } ] }, { "timeline": "google-gemini-model-releases", "id": 1780, "url": "https://whatledto.com/events/google-gemini-model-releases#n1780", "date": "2026-09-30", "date_precision": "day", "title": "Google announces Gemini 4 Argon rollout to cyber defenders", "summary": "Google announced Gemini 4 Argon and began rolling it out to trusted cyber defenders. Initial access is through Google's Fairwind Program.", "type": "announcement", "entities": [ "Google", "Gemini 4 Argon", "Fairwind Program" ], "parties": [ "google", "gemini-4-argon", "fairwind-program" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/", "outlet": "Google Blog", "published": "2026-09-30", "quote": "Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program." }, { "url": "https://www.axios.com/2026/09/30/google-gemini-4", "outlet": "Axios", "published": "2026-09-30", "quote": "Google is unveiling its long-awaited next-generation AI model, Gemini 4 Argon, to a small group of cybersecurity partners, the company said Wednesday." } ] }, { "timeline": "google-gemini-model-releases", "id": 1520, "url": "https://whatledto.com/events/google-gemini-model-releases#n1520", "date": "2026-09-24", "date_precision": "day", "title": "Google makes Gemini 3.8 Live with Live Avatar available in Gemini Enterprise", "summary": "Google made Gemini 3.8 Live with Live Avatar available in Gemini Enterprise. Live Avatar combines Gemini 3.8 Live dialogue with streaming video to create a visual persona.", "type": "launch", "entities": [ "Google", "Gemini 3.8 Live", "Live Avatar", "Gemini Enterprise" ], "parties": [ "google", "gemini-38-live", "live-avatar", "gemini-enterprise" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-live-with-live-avatar/", "outlet": "Google", "published": "2026-09-24", "quote": "Starting today, Gemini 3.8 Live with Live Avatar is available in Gemini Enterprise." } ] }, { "timeline": "google-gemini-model-releases", "id": 1519, "url": "https://whatledto.com/events/google-gemini-model-releases#n1519", "date": "2026-09-22", "date_precision": "day", "title": "Google makes Gemini 3.8 Flash TTS models generally available", "summary": "Google made Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS generally available. It also released the Gemini API Voices endpoint.", "type": "launch", "entities": [ "Google", "Gemini 3.8 Flash TTS", "Gemini 3.8 Flash-Lite TTS", "Gemini API", "Gemini API Voices", "Gemini 3.1 Flash TTS Preview" ], "parties": [ "google", "gemini-38-flash-tts", "gemini-38-flash-lite-tts", "gemini-api", "gemini-api-voices", "gemini-31-flash-tts-preview" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-09-22", "quote": "Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS generally available (GA): Released our next-generation text-to-speech (TTS) audio models and the Gemini API Voices endpoint (`/v1beta/voices`):" } ] }, { "timeline": "google-gemini-model-releases", "id": 1518, "url": "https://whatledto.com/events/google-gemini-model-releases#n1518", "date": "2026-09-18", "date_precision": "day", "title": "Google limits new access to Gemini 2.5 API models", "summary": "Google limited Gemini 2.5 model access to users who had actively used the models previously. Google directed new projects to Gemini 3.5 Flash-Lite or Gemini 3.8 Flash.", "type": "announcement", "entities": [ "Google", "Gemini 2.5 Pro", "Gemini 2.5 Flash", "Gemini 2.5 Flash-Lite", "Gemini 3.5 Flash-Lite", "Gemini 3.8 Flash" ], "parties": [ "google", "gemini-25-pro", "gemini-25-flash", "gemini-25-flash-lite", "gemini-35-flash-lite", "gemini-38-flash" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-09-18", "quote": "Gemini 2.5 models access update: To ensure reliable performance for everyone, we are limiting access to the 2.5 models to users who have actively used them in the past." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 1377, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n1377", "date": "2026-09-16", "date_precision": "day", "title": "Banks arrange reported $22 billion Crux AI loan for Google TPUs", "summary": "Reuters and Bloomberg reported that banks were arranging a $22 billion loan for Crux AI. Reuters reported that the debt would be used to purchase Google TPUs, while Bloomberg reported it could later be replaced with longer-term institutional financing.", "type": "report", "entities": [ "Crux AI", "Google", "Alphabet", "Blackstone", "Goldman Sachs", "Sumitomo Mitsui Banking Corporation", "Barclays", "BNP Paribas", "Bank of Nova Scotia", "TPU" ], "parties": [ "crux-ai", "google", "alphabet", "blackstone", "goldman-sachs", "sumitomo-mitsui-banking-corporation", "barclays", "bnp-paribas", "bank-of-nova-scotia", "tpu" ], "sources": [ { "url": "https://ca.marketscreener.com/news/banks-provide-22-billion-chip-loan-to-blackstone-alphabet-ai-cloud-venture-source-says-ce785bd2d08cf122", "outlet": "Reuters via MarketScreener", "published": "2026-09-16", "quote": "The debt will be used to purchase Google TPUs." }, { "url": "https://uk.finance.yahoo.com/news/banks-line-22-billion-chip-193810192.html", "outlet": "Bloomberg via Yahoo Finance", "published": "2026-09-16", "quote": "The debt could be replaced later with longer-term financing from institutional investors in the investment-grade bond market, the people said." } ] }, { "timeline": "google-gemini-model-releases", "id": 1398, "url": "https://whatledto.com/events/google-gemini-model-releases#n1398", "date": "2026-09-15", "date_precision": "day", "title": "Google publishes Gemini 3.8 Live API pricing", "summary": "Google published pricing of $0.005 per minute for audio input and $0.018 per minute for audio output for Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking. The models are available through the Live API.", "type": "financial", "entities": [ "Google", "Gemini 3.8 Live", "Gemini 3.8 Live Extended Thinking", "Live API" ], "parties": [ "google", "gemini-38-live", "gemini-38-live-extended-thinking", "live-api" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/technology/developers-tools/build-real-time-voice-applications-gemini-audio/", "outlet": "Google Blog", "published": "2026-09-15", "quote": "Competitively priced at $0.005/min for audio input and $0.018/min for audio output, they allow developers to scale voice applications with industry-leading performance." } ] }, { "timeline": "google-gemini-model-releases", "id": 1397, "url": "https://whatledto.com/events/google-gemini-model-releases#n1397", "date": "2026-09-15", "date_precision": "day", "title": "Google makes Gemini 3.8 Live models generally available", "summary": "Google released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking to general availability. The production Live API endpoints are gemini-3.8-live and gemini-3.8-live-extended-thinking.", "type": "launch", "entities": [ "Google", "Gemini 3.8 Live", "Gemini 3.8 Live Extended Thinking", "Live API" ], "parties": [ "google", "gemini-38-live", "gemini-38-live-extended-thinking", "live-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-09-15", "quote": "Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking generally available (GA): Released two new audio-to-audio models for real-time voice applications using the Live API:" } ] }, { "timeline": "google-gemini-model-releases", "id": 1517, "url": "https://whatledto.com/events/google-gemini-model-releases#n1517", "date": "2026-09-03", "date_precision": "day", "title": "Google releases Lyria 3.5 in the Gemini API", "summary": "Google released Lyria 3.5 as a generally available music-generation model in the Gemini API. The model generates full-length songs and provides controls for duration and structure.", "type": "launch", "entities": [ "Google", "Lyria 3.5", "Gemini API" ], "parties": [ "google", "lyria-35", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-09-03", "quote": "`lyria-3.5`: Full-length song generation with improved musical coherence, natural vocals, and fine-grained duration and structural control." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 1659, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n1659", "date": "2026-09-02", "date_precision": "day", "title": "Broadcom begins production shipments of Google TPU 8i", "summary": "Broadcom said it began production shipments of the next-generation TPU 8i for Google. The statement was made during Broadcom's fiscal third-quarter earnings call.", "type": "shipment", "entities": [ "Broadcom", "Google", "TPU 8i" ], "parties": [ "broadcom", "google", "tpu-8i" ], "sources": [ { "url": "https://www.fool.com/earnings/call-transcripts/2026/09/09/broadcom-avgo-q3-2026-earnings-call-transcript/", "outlet": "The Motley Fool transcript of Broadcom's earnings call", "published": "2026-09-09", "quote": "At the same time, we began production shipments of the next-generation TPU version 8i for Google." } ] }, { "timeline": "google-gemini-model-releases", "id": 1516, "url": "https://whatledto.com/events/google-gemini-model-releases#n1516", "date": "2026-09-02", "date_precision": "day", "title": "Google introduces Gemini 3.8 Flash Cyber for trusted defenders", "summary": "Google introduced Gemini 3.8 Flash Cyber as a cybersecurity model for vulnerability detection and automated patching. The model was made available to trusted defenders through the Fairwind Program.", "type": "launch", "entities": [ "Google", "Google DeepMind", "Gemini 3.8 Flash Cyber", "Fairwind Program" ], "parties": [ "google", "google-deepmind", "gemini-38-flash-cyber", "fairwind-program" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/", "outlet": "Google", "published": "2026-09-02", "quote": "Gemini 3.8 Flash Cyber: our most capable cybersecurity model with frontier-level performance in vulnerability detection and automated patching, available to trusted defenders through our new Fairwind Program." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 885, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n885", "date": "2026-09-02", "date_precision": "day", "title": "Broadcom Q3: AI revenue $16.7 billion, six XPU customers, Anthropic to be the largest in 2027 with 5 GW of TPU 8i", "summary": "Broadcom's AI semiconductor revenue more than tripled to $16.7 billion with custom accelerators 73 percent of it, and Hock Tan laid out the customer roadmap: multi-tens of billions of dollars of TPUs a year for Google, 1 GW of Ironwood for Anthropic in 2026 then 5 GW of TPU 8i in 2027 and 10 GW more in 2028, 1.3 GW of Jalapeño for OpenAI in 2027 with a second generation near tape-out and a third in development, and MTIA production shipments for Meta. Guidance: $21.7 billion of AI revenue in Q4, $58 billion for fiscal 2026 and about $115 billion in fiscal 2027.", "type": "financial", "entities": [ "Broadcom", "Hock Tan", "Anthropic", "OpenAI", "Google", "Meta" ], "parties": [ "broadcom", "hock-tan", "anthropic", "openai", "google", "meta" ], "sources": [ { "url": "https://investors.broadcom.com/news-releases/news-release-details/broadcom-inc-announces-third-quarter-fiscal-year-2026-financial", "outlet": "Broadcom Inc. Investor Relations", "published": "2026-09-02", "quote": "Q3 AI semiconductor revenue of $16.7 billion grew 221% year-over-year, and 54% quarter-over-quarter," }, { "url": "https://www.fool.com/earnings/call-transcripts/2026/09/09/broadcom-avgo-q3-2026-earnings-call-transcript/", "outlet": "Broadcom Q3 FY2026 earnings call (Motley Fool transcript)", "published": "2026-09-02", "quote": "Our 6 XPU customers are accelerating the adoption of custom accelerators and AI semiconductor revenue more than tripled year-over-year to $16.7 billion." }, { "url": "https://www.fool.com/earnings/call-transcripts/2026/09/09/broadcom-avgo-q3-2026-earnings-call-transcript/", "outlet": "Broadcom Q3 FY2026 earnings call (Motley Fool transcript)", "published": "2026-09-02", "quote": "We expect Anthropic to deploy another 5 gigawatts of TPU version 8i in 2027. And in 2028, we have clear line of sight to deliver another -- an incremental 10 gigawatts, even as we expect Google to grow for us. Anthropic is on track to become our largest XPU customer in 2027 and sustain that in 2028." }, { "url": "https://www.cnbc.com/2026/09/02/broadcom-avgo-q3-earnings-report-2026.html", "outlet": "CNBC", "published": "2026-09-02", "quote": "CEO Hock Tan said on a conference call that Broadcom expects to speed up shipments of Google Ironwood tensor processing units to Anthropic and TPU 8i chips to Google. He said Broadcom will deliver tens of billions of dollars of processors to Google each year for the next several years." } ] }, { "timeline": "google-gemini-model-releases", "id": 1160, "url": "https://whatledto.com/events/google-gemini-model-releases#n1160", "date": "2026-09-01", "date_precision": "day", "title": "Google releases agentic video understanding for Gemini Flash models", "summary": "Google released agentic video understanding for Gemini 3.7 Flash, Gemini 3.6 Flash, and Gemini 3.5 Flash-Lite. The feature was available across the Interactions and GenerateContent APIs.", "type": "launch", "entities": [ "Google", "Gemini 3.7 Flash", "Gemini 3.6 Flash", "Gemini 3.5 Flash-Lite", "Gemini API", "Interactions API" ], "parties": [ "google", "gemini-37-flash", "gemini-36-flash", "gemini-35-flash-lite", "gemini-api", "interactions-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite across the Interactions and GenerateContent APIs." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 1374, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n1374", "date": "2026-09", "date_precision": "month", "title": "Google and Blackstone launch TPU cloud venture Crux AI", "summary": "Data Center Dynamics reported that the Google and Blackstone neocloud offering TPU services launched as Crux AI. Bloomberg reported that Blackstone provided $5 billion and that Crux AI aims to rent Google AI processors to customers in 2027.", "type": "launch", "entities": [ "Google", "Alphabet", "Blackstone", "Crux AI", "TPU" ], "parties": [ "google", "alphabet", "blackstone", "crux-ai", "tpu" ], "sources": [ { "url": "https://www.datacenterdynamics.com/en/news/google-blackstones-tpu-neocloud-named-crux-ai-hires-metas-data-center-engineering-head-alan-duong/", "outlet": "Data Center Dynamics", "published": "2026-09-10", "quote": "The neocloud set up by Google and Blackstone to offer TPU services has officially launched as Crux AI." }, { "url": "https://news.bloomberglaw.com/private-equity/google-blackstone-venture-faces-delays-at-data-center-sites", "outlet": "Bloomberg", "published": "2026-09-09", "quote": "Crux AI — known internally as “Project Braid” — was launched with $5 billion from Blackstone and aims to rent Google AI processors to customers in 2027." } ] }, { "timeline": "google-gemini-model-releases", "id": 1158, "url": "https://whatledto.com/events/google-gemini-model-releases#n1158", "date": "2026-08-27", "date_precision": "day", "title": "Gemini Omni Flash reaches general availability", "summary": "Google released gemini-omni-1.1-flash as the generally available version of Gemini Omni Flash. Google described it as a conversational video-generation and editing model.", "type": "shipment", "entities": [ "Google", "Gemini Omni Flash", "Gemini API" ], "parties": [ "google", "gemini-omni-flash", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Gemini Omni Flash generally available (GA): Released `gemini-omni-1.1-flash`, the GA version of our fast, conversational video generation and editing model." } ] }, { "timeline": "google-gemini-model-releases", "id": 1157, "url": "https://whatledto.com/events/google-gemini-model-releases#n1157", "date": "2026-07-30", "date_precision": "day", "title": "Google releases Gemini Robotics ER 2 public previews", "summary": "Google released Gemini Robotics ER 2 preview endpoints for robotics. Google DeepMind said Gemini Robotics ER 2 was available on Google AI Studio and in private preview on Gemini Enterprise Agent Platform.", "type": "launch", "entities": [ "Google", "Gemini Robotics ER 2", "Gemini Robotics 2", "Gemini Robotics On-Device 2", "Gemini API", "Google AI Studio", "Gemini Enterprise Agent Platform" ], "parties": [ "google", "gemini-robotics-er-2", "gemini-robotics-2", "gemini-robotics-on-device-2", "gemini-api", "google-ai-studio", "gemini-enterprise-agent-platform" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Gemini Robotics ER 2 in public preview: Released two new embodied reasoning model endpoints for robotics:" }, { "url": "https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/", "outlet": "Google DeepMind", "published": "2026-07-30", "quote": "Gemini Robotics ER 2, our reasoning model, is now available on Google AI Studio and in private preview on Gemini Enterprise Agent Platform." }, { "url": "https://deepmind.google/models/model-cards/gemini-robotics-er-2/", "outlet": "Google DeepMind", "published": "2026-07-30", "quote": "Gemini Robotics ER (Embodied Reasoning) 2 is based on Gemini 3.5 Flash." } ] }, { "timeline": "google-gemini-model-releases", "id": 1156, "url": "https://whatledto.com/events/google-gemini-model-releases#n1156", "date": "2026-06-30", "date_precision": "day", "title": "Nano Banana 2 Lite reaches general availability", "summary": "Google released gemini-3.1-flash-lite-image, called Nano Banana 2 Lite, to general availability. Google described it as optimized for low-latency and cost-effective image generation and editing.", "type": "shipment", "entities": [ "Google", "Nano Banana 2 Lite", "Gemini API" ], "parties": [ "google", "nano-banana-2-lite", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-3.1-flash-lite-image` (Nano Banana 2 Lite) to general availability (GA), our built-in multimodal model optimized for ultra-low latency and cost-effective image generation and editing." } ] }, { "timeline": "google-gemini-model-releases", "id": 1155, "url": "https://whatledto.com/events/google-gemini-model-releases#n1155", "date": "2026-06-30", "date_precision": "day", "title": "Google releases Gemini Omni Flash Preview", "summary": "Google released gemini-omni-flash-preview in public preview. Google described it as a model for high-speed video generation and conversational video editing.", "type": "launch", "entities": [ "Google", "Gemini Omni Flash", "Interactions API", "Gemini API" ], "parties": [ "google", "gemini-omni-flash", "interactions-api", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Gemini Omni Flash in public preview: Released `gemini-omni-flash-preview`, a high-performance multimodal model designed for high-speed video generation and conversational video editing." } ] }, { "timeline": "google-gemini-model-releases", "id": 1153, "url": "https://whatledto.com/events/google-gemini-model-releases#n1153", "date": "2026-06-24", "date_precision": "day", "title": "Google adds Computer Use tool preview to Gemini 3.5 Flash", "summary": "Google launched public-preview support for the Computer Use tool in Gemini 3.5 Flash. The support was recorded in the Gemini API changelog.", "type": "launch", "entities": [ "Google", "Gemini 3.5 Flash", "Computer Use", "Gemini API" ], "parties": [ "google", "gemini-35-flash", "computer-use", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Launched public preview support for the Computer Use tool in Gemini 3.5 Flash." } ] }, { "timeline": "google-gemini-model-releases", "id": 1607, "url": "https://whatledto.com/events/google-gemini-model-releases#n1607", "date": "2026-06-17", "date_precision": "day", "title": "Google adds streaming to Gemini 3.1 Flash TTS Preview", "summary": "Google added streaming support for Gemini 3.1 Flash TTS Preview. Streaming was supported through streamGenerateContent and the Interactions API.", "type": "announcement", "entities": [ "Google", "Gemini 3.1 Flash TTS", "Interactions API" ], "parties": [ "google", "gemini-31-flash-tts", "interactions-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-06-17", "quote": "Streaming via streamGenerateContent (and stream: true in the Interactions API) is now supported for the gemini-3.1-flash-tts-preview model." } ] }, { "timeline": "google-gemini-model-releases", "id": 1152, "url": "https://whatledto.com/events/google-gemini-model-releases#n1152", "date": "2026-06-09", "date_precision": "day", "title": "Google releases Gemini 3.5 Live Translate preview", "summary": "Google released Gemini 3.5 Live Translate. Google described it as an audio model for live speech-to-speech translation.", "type": "launch", "entities": [ "Google", "Gemini 3.5 Live Translate", "Gemini Live API", "Google AI Studio" ], "parties": [ "google", "gemini-35-live-translate", "gemini-live-api", "google-ai-studio" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-live-3-5-translate/", "outlet": "Google Blog", "published": "2026-06-09", "quote": "Today, we’re taking our next step with the release of Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation." } ] }, { "timeline": "google-gemini-model-releases", "id": 1606, "url": "https://whatledto.com/events/google-gemini-model-releases#n1606", "date": "2026-05-25", "date_precision": "day", "title": "Google shuts down Gemini 3.1 Flash-Lite Preview", "summary": "Google shut down Gemini 3.1 Flash-Lite Preview. The shutdown applied to the gemini-3.1-flash-lite-preview endpoint.", "type": "delay", "entities": [ "Google", "Gemini 3.1 Flash-Lite Preview" ], "parties": [ "google", "gemini-31-flash-lite-preview" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-05-25", "quote": "The gemini-3.1-flash-lite-preview model has been shut down." } ] }, { "timeline": "google-gemini-model-releases", "id": 1150, "url": "https://whatledto.com/events/google-gemini-model-releases#n1150", "date": "2026-05-07", "date_precision": "day", "title": "Gemini 3.1 Flash-Lite reaches general availability", "summary": "Google released gemini-3.1-flash-lite as the generally available Gemini 3.1 Flash-Lite version. Google described it as optimized for speed, scale, and cost efficiency.", "type": "shipment", "entities": [ "Google", "Gemini 3.1 Flash-Lite", "Gemini API" ], "parties": [ "google", "gemini-31-flash-lite", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-3.1-flash-lite`, the generally available (GA) version of Gemini 3.1 Flash-Lite, optimized for speed, scale, and cost efficiency." } ] }, { "timeline": "google-gemini-model-releases", "id": 1605, "url": "https://whatledto.com/events/google-gemini-model-releases#n1605", "date": "2026-04-30", "date_precision": "day", "title": "Google shuts down Gemini Robotics ER 1.5 Preview", "summary": "Google shut down the Gemini Robotics ER 1.5 Preview model. The shutdown applied to the gemini-robotics-er-1.5-preview endpoint.", "type": "delay", "entities": [ "Google", "Gemini Robotics-ER 1.5" ], "parties": [ "google", "gemini-robotics-er-15" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-04-30", "quote": "The gemini-robotics-er-1.5-preview model has been shut down." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 880, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n880", "date": "2026-04-22", "date_precision": "day", "title": "Cloud Next: Ironwood for everyone, and an eighth generation split into TPU 8t for training and TPU 8i for inference", "summary": "Google previewed its first two-chip TPU generation: 8t for large-scale training and 8i for low-latency agentic inference, with general availability promised for later in 2026 for the first parts. Reports identified Broadcom as the design partner on 8t and MediaTek on 8i, both on TSMC 2nm, and Broadcom later said Anthropic would take 5 GW of 8i in 2027.", "type": "launch", "entities": [ "Google", "TPU 8t", "TPU 8i", "Amin Vahdat", "Broadcom", "MediaTek" ], "parties": [ "google", "tpu-8t", "tpu-8i", "amin-vahdat", "broadcom", "mediatek" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/infrastructure-and-cloud/google-cloud/eighth-generation-tpu-agentic-era/", "outlet": "Google (The Keyword)", "published": "2026-04-22", "quote": "Today at Google Cloud Next, we are introducing the eighth generation of Google's custom Tensor Processor Unit (TPU), coming soon with two distinct, purpose-built architectures for training and inference: TPU 8t and TPU 8i. These two chips are designed to power our custom-built supercomputers, to drive everything from cutting-edge model training and agent development, to massive inference workloads." } ] }, { "timeline": "google-gemini-model-releases", "id": 1604, "url": "https://whatledto.com/events/google-gemini-model-releases#n1604", "date": "2026-04-15", "date_precision": "day", "title": "Google launches Gemini 3.1 Flash TTS Preview", "summary": "Google launched Gemini 3.1 Flash TTS Preview. Google described it as a text-to-speech model.", "type": "launch", "entities": [ "Google", "Gemini 3.1 Flash TTS" ], "parties": [ "google", "gemini-31-flash-tts" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-04-15", "quote": "Launched Gemini 3.1 Flash TTS Preview, our cost-efficient, expressive, and steerable text to speech model." } ] }, { "timeline": "google-gemini-model-releases", "id": 1603, "url": "https://whatledto.com/events/google-gemini-model-releases#n1603", "date": "2026-04-14", "date_precision": "day", "title": "Google releases Gemini Robotics ER 1.6 Preview", "summary": "Google released Gemini Robotics ER 1.6 Preview. Google described it as an updated robotics model.", "type": "launch", "entities": [ "Google", "Gemini Robotics-ER 1.6" ], "parties": [ "google", "gemini-robotics-er-16" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-04-14", "quote": "Released gemini-robotics-er-1.6-preview, our updated robotics model." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 877, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n877", "date": "2026-04-06", "date_precision": "day", "title": "Anthropic signs for multiple gigawatts of next-generation TPUs from Google and Broadcom, from 2027", "summary": "Anthropic called it its most significant compute commitment to date: multiple gigawatts of next-generation TPU capacity from 2027, mostly sited in the United States, on top of the million-TPU deal of October 2025. Broadcom's 8-K put the figure at 3.5 GW and disclosed a long-term supply agreement with Google for future TPU generations through 2031. Anthropic's run-rate revenue had passed $30 billion.", "type": "announcement", "entities": [ "Anthropic", "Google", "Broadcom", "Krishna Rao" ], "parties": [ "anthropic", "google", "broadcom", "krishna-rao" ], "sources": [ { "url": "https://www.anthropic.com/news/google-broadcom-partnership-compute", "outlet": "Anthropic", "published": "2026-04-06", "quote": "We have signed a new agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity that we expect to come online starting in 2027." }, { "url": "https://techcrunch.com/2026/04/07/anthropic-compute-deal-google-broadcom-tpus/", "outlet": "TechCrunch", "published": "2026-04-07", "quote": "The company did not give specifics for its compute expansion, but a recent Broadcom SEC filing shows the deal includes 3.5 gigawatts of compute." } ] }, { "timeline": "google-gemini-model-releases", "id": 1146, "url": "https://whatledto.com/events/google-gemini-model-releases#n1146", "date": "2026-04-01", "date_precision": "day", "title": "Google introduces Flex and Priority inference tiers", "summary": "Google introduced Flex and Priority inference tiers for the Gemini API. Google said the tiers provided options for optimizing cost or latency.", "type": "financial", "entities": [ "Google", "Gemini API", "Flex tier", "Priority tier" ], "parties": [ "google", "gemini-api", "flex-tier", "priority-tier" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Introduced the new Flex and Priority inference tiers, offering more options for optimizing cost or latency." } ] }, { "timeline": "google-gemini-model-releases", "id": 1602, "url": "https://whatledto.com/events/google-gemini-model-releases#n1602", "date": "2026-03-31", "date_precision": "day", "title": "Google launches Veo 3.1 Lite Preview", "summary": "Google launched Veo 3.1 Lite Preview under the endpoint identifier veo-3.1-lite-generate-preview. Google said it was designed for rapid iteration and high-volume applications.", "type": "launch", "entities": [ "Google", "Veo 3.1 Lite" ], "parties": [ "google", "veo-31-lite" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-03-31", "quote": "Launched Veo 3.1 Lite Preview, veo-3.1-lite-generate-preview, our most cost-efficient video generation model, designed for rapid iteration and building high-volume applications." } ] }, { "timeline": "google-gemini-model-releases", "id": 1601, "url": "https://whatledto.com/events/google-gemini-model-releases#n1601", "date": "2026-03-26", "date_precision": "day", "title": "Google releases Gemini 3.1 Flash Live Preview", "summary": "Google released Gemini 3.1 Flash Live Preview. Google described it as an audio-to-audio model for real-time dialogue and voice-first AI applications.", "type": "launch", "entities": [ "Google", "Gemini 3.1 Flash Live" ], "parties": [ "google", "gemini-31-flash-live" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-03-26", "quote": "Released gemini-3.1-flash-live-preview, the latest audio-to-audio (A2A) model designed for real-time dialogue and voice-first AI applications." }, { "url": "https://ai.google.dev/gemini-api/docs/deprecations", "outlet": "Google AI for Developers", "published": "2026-09-05", "quote": "This page lists the known deprecation schedules for stable (GA) and preview models in the Gemini API." } ] }, { "timeline": "google-gemini-model-releases", "id": 1600, "url": "https://whatledto.com/events/google-gemini-model-releases#n1600", "date": "2026-03-25", "date_precision": "day", "title": "Google launches Lyria 3 Clip and Lyria 3 Pro previews", "summary": "Google launched Lyria 3 Clip and Lyria 3 Pro music-generation models. Lyria 3 Clip generated 30-second clips, while Lyria 3 Pro generated full-length songs.", "type": "launch", "entities": [ "Google", "Lyria 3 Clip", "Lyria 3 Pro" ], "parties": [ "google", "lyria-3-clip", "lyria-3-pro" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2026-03-25", "quote": "Launched Lyria 3 music generation models: lyria-3-clip-preview (30-second clips) and lyria-3-pro-preview (full-length songs)." } ] }, { "timeline": "google-gemini-model-releases", "id": 1142, "url": "https://whatledto.com/events/google-gemini-model-releases#n1142", "date": "2026-03-03", "date_precision": "day", "title": "Gemini 3.1 Flash-Lite enters preview", "summary": "Google launched Gemini 3.1 Flash-Lite Preview. Google described it as the first Flash-Lite model in the Gemini 3 series.", "type": "launch", "entities": [ "Google", "Gemini 3.1 Flash-Lite", "Gemini API" ], "parties": [ "google", "gemini-31-flash-lite", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Launched Gemini 3.1 Flash-Lite Preview, the first Flash-Lite model in the Gemini 3 series." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 875, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n875", "date": "2026-02-26", "date_precision": "day", "title": "Meta signs a multibillion-dollar deal to rent Google Cloud TPUs for its next models", "summary": "Three months after the first report, The Information said Meta had agreed to a multibillion-dollar deal to rent TPUs from Google Cloud to train and run its next-generation models, alongside multibillion-dollar purchases of Nvidia's Vera Rubin and AMD's MI400 GPUs announced the same month. Meta was buying from every accelerator vendor at once while its own MTIA program continued.", "type": "report", "entities": [ "Meta", "Google" ], "parties": [ "meta", "google" ], "sources": [ { "url": "https://siliconangle.com/2026/02/26/google-meta-reportedly-strike-new-multibillion-dollar-ai-chip-deal/", "outlet": "SiliconANGLE", "published": "2026-02-26", "quote": "Meta Platforms Inc. has reportedly agreed to a multibillion-dollar deal to rent Google Cloud’s custom artificial intelligence chips, according to a report in The Information today. The report cited anonymous sources as saying that the chips, known as tensor processing units, will be used by Meta to train and run its next-generation large language models." } ] }, { "timeline": "google-gemini-model-releases", "id": 1138, "url": "https://whatledto.com/events/google-gemini-model-releases#n1138", "date": "2025-12-12", "date_precision": "day", "title": "Google releases December Gemini 2.5 Flash native-audio preview", "summary": "Google released gemini-2.5-flash-native-audio-preview-12-2025. The model was a native-audio model for the Live API.", "type": "launch", "entities": [ "Google", "Gemini 2.5 Flash Native Audio", "Gemini Live API" ], "parties": [ "google", "gemini-25-flash-native-audio", "gemini-live-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-2.5-flash-native-audio-preview-12-2025`, a new native audio model for the Live API." } ] }, { "timeline": "google-gemini-model-releases", "id": 1137, "url": "https://whatledto.com/events/google-gemini-model-releases#n1137", "date": "2025-12-10", "date_precision": "day", "title": "Google releases upgraded Gemini 2.5 TTS preview models", "summary": "Google launched enhancements to Gemini 2.5 Flash TTS preview and Gemini 2.5 Pro TTS preview. Google listed expressivity, pacing, and dialogue among the changes.", "type": "launch", "entities": [ "Google", "Gemini 2.5 Flash TTS", "Gemini 2.5 Pro TTS", "Gemini API" ], "parties": [ "google", "gemini-25-flash-tts", "gemini-25-pro-tts", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Launched enhancements to our text-to-speech models, Gemini 2.5 Flash TTS preview (optimized for low latency) and Gemini 2.5 Pro TTS preview (optimized for quality), including enhanced expressivity, precision pacing, and seamless dialogue." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 872, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n872", "date": "2025-11-25", "date_precision": "day", "title": "Meta in talks to put Google TPUs in its data centers from 2027; Nvidia falls 4 percent", "summary": "The Information reported that Meta was negotiating to deploy TPUs in its own data centers in 2027 and to rent them from Google Cloud in 2026, and that Google was now promoting TPUs for installation in customers' facilities rather than only in its cloud. Alphabet rose 4 percent and Nvidia fell as much as 7 percent on the report; a Google spokesperson said demand for both TPUs and Nvidia GPUs was accelerating.", "type": "report", "entities": [ "Meta", "Google", "Nvidia" ], "parties": [ "meta", "google", "nvidia" ], "sources": [ { "url": "https://www.cnbc.com/2025/11/25/nvidia-shares-today-google-meta-ai-chip-report.html", "outlet": "CNBC", "published": "2025-11-25", "quote": "On Monday, The Information reported that Meta is considering using Google's tensor processing units, or TPUs, in its data centers in 2027. Meta may also rent TPUs from Google's cloud unit next year, the publication reported." }, { "url": "https://www.trendforce.com/news/2025/11/25/news-meta-reportedly-weighs-google-tpu-deployment-in-2027-boosting-broadcom-taiwans-guc/", "outlet": "TrendForce", "published": "2025-11-25", "quote": "For years, Google limited its TPUs to its own cloud, offering them solely as rented compute for large-scale AI workloads. ButInvesting.com, citing The Information, notes that Google is now promoting the chips for installation directly inside customers’ data centers—a significant strategic shift that intensifies its competition with NVIDIA. Investing.com also reports that Google Cloud executives view broader TPU adoption as a route to capturing up to 10% of NVIDIA’s annual revenue, representing a multibillion-dollar opportunity." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 870, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n870", "date": "2025-11-06", "date_precision": "day", "title": "Ironwood reaches general availability, with Claude named alongside Gemini as a TPU-trained model", "summary": "Google Cloud said Ironwood would be generally available within weeks, with 10x the peak performance of TPU v5p and more than 4x Trillium per chip, and introduced Arm-based Axion N4A instances. The post opened by listing Anthropic's Claude with Gemini, Veo and Imagen as models that train and serve on TPUs.", "type": "launch", "entities": [ "Google", "Ironwood", "Amin Vahdat" ], "parties": [ "google", "ironwood", "amin-vahdat" ], "sources": [ { "url": "https://cloud.google.com/blog/products/compute/ironwood-tpus-and-new-axion-based-vms-for-your-ai-workloads/", "outlet": "Google Cloud Blog", "published": "2025-11-07", "quote": "Ironwood, our seventh generation TPU, will be generally available in the coming weeks." }, { "url": "https://cloud.google.com/blog/products/compute/ironwood-tpus-and-new-axion-based-vms-for-your-ai-workloads/", "outlet": "Google Cloud Blog", "published": "2025-11-07", "quote": "Today’s frontier models, including Google’s Gemini, Veo, Imagen, and Anthropic’s Claude train and serve on Tensor Processing Units (TPUs)." } ] }, { "timeline": "google-gemini-model-releases", "id": 1599, "url": "https://whatledto.com/events/google-gemini-model-releases#n1599", "date": "2025-11-04", "date_precision": "day", "title": "Google reduces Gemini 2.5 Flash Image input-token charges", "summary": "Google reduced the image input-token count for Gemini 2.5 Flash Image from 1,290 to 258. Google said the reduction lowered the cost of image editing.", "type": "financial", "entities": [ "Google", "Gemini 2.5 Flash Image" ], "parties": [ "google", "gemini-25-flash-image" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2025-11-04", "quote": "For Gemini 2.5 Flash Image, the input token count for images has been reduced from 1290 to 258, lowering the cost of image editing." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 868, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n868", "date": "2025-10-23", "date_precision": "day", "title": "Anthropic commits to up to one million Google TPUs, more than a gigawatt in 2026", "summary": "Anthropic announced a deal worth tens of billions of dollars to expand its use of Google Cloud TPUs to as many as one million chips, bringing well over a gigawatt online in 2026, while keeping Amazon as its primary training partner. It was the first time a frontier lab had committed to TPUs at Nvidia-order scale, and it made Anthropic the anchor customer for Ironwood.", "type": "announcement", "entities": [ "Anthropic", "Google", "Krishna Rao", "Thomas Kurian" ], "parties": [ "anthropic", "google", "krishna-rao", "thomas-kurian" ], "sources": [ { "url": "https://www.anthropic.com/news/expanding-our-use-of-google-cloud-tpus-and-services", "outlet": "Anthropic", "published": "2025-10-23", "quote": "Today, we are announcing that we plan to expand our use of Google Cloud technologies, including up to one million TPUs, dramatically increasing our compute resources as we continue to push the boundaries of AI research and product development. The expansion is worth tens of billions of dollars and is expected to bring well over a gigawatt of capacity online in 2026." }, { "url": "https://www.cnbc.com/2025/10/23/anthropic-google-cloud-deal-tpu.html", "outlet": "CNBC", "published": "2025-10-23", "quote": "The deal, which is worth tens of billions of dollars, is the company's largest TPU commitment yet and is expected to bring well over a gigawatt of AI compute capacity online in 2026." } ] }, { "timeline": "google-gemini-model-releases", "id": 1598, "url": "https://whatledto.com/events/google-gemini-model-releases#n1598", "date": "2025-10-15", "date_precision": "day", "title": "Google releases Veo 3.1 and Veo 3.1 Fast in public preview", "summary": "Google released Veo 3.1 and Veo 3.1 Fast in public preview. Google said the models included new features.", "type": "launch", "entities": [ "Google", "Veo 3.1", "Veo 3.1 Fast" ], "parties": [ "google", "veo-31", "veo-31-fast" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2025-10-15", "quote": "Released Veo 3.1 and 3.1 Fast models in public preview, with new features including:" } ] }, { "timeline": "google-gemini-model-releases", "id": 1130, "url": "https://whatledto.com/events/google-gemini-model-releases#n1130", "date": "2025-10-07", "date_precision": "day", "title": "Google launches Gemini 2.5 Computer Use Preview", "summary": "Google launched Gemini 2.5 Computer Use Preview. The launch was recorded in the Gemini API changelog.", "type": "launch", "entities": [ "Google", "Gemini 2.5 Computer Use", "Gemini API" ], "parties": [ "google", "gemini-25-computer-use", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Launched Gemini 2.5 Computer Use Preview." } ] }, { "timeline": "google-gemini-model-releases", "id": 1129, "url": "https://whatledto.com/events/google-gemini-model-releases#n1129", "date": "2025-10-02", "date_precision": "day", "title": "Gemini 2.5 Flash Image reaches general availability", "summary": "Google launched Gemini 2.5 Flash Image GA. The launch made the image-generation model generally available.", "type": "shipment", "entities": [ "Google", "Gemini 2.5 Flash Image", "Nano Banana", "Gemini API" ], "parties": [ "google", "gemini-25-flash-image", "nano-banana", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Launched Gemini 2.5 Flash Image GA: Image Generation with Gemini." } ] }, { "timeline": "google-gemini-model-releases", "id": 1128, "url": "https://whatledto.com/events/google-gemini-model-releases#n1128", "date": "2025-09-29", "date_precision": "day", "title": "Google shuts down Gemini 1.5 API models", "summary": "Google shut down Gemini 1.5 API models. The release notes identified the Gemini 1.5 models as shut down.", "type": "other", "entities": [ "Google", "Gemini 1.5 Pro", "Gemini 1.5 Flash", "Gemini 1.5 Flash 8B", "Gemini API" ], "parties": [ "google", "gemini-15-pro", "gemini-15-flash", "gemini-15-flash-8b", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "The following Gemini 1.5 models are now shut down:" } ] }, { "timeline": "google-gemini-model-releases", "id": 1597, "url": "https://whatledto.com/events/google-gemini-model-releases#n1597", "date": "2025-09-25", "date_precision": "day", "title": "Google releases Gemini Robotics ER 1.5 in preview", "summary": "Google released Gemini Robotics ER 1.5 in preview. The release identified it as a model.", "type": "launch", "entities": [ "Google", "Gemini Robotics-ER 1.5" ], "parties": [ "google", "gemini-robotics-er-15" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2025-09-25", "quote": "Released Gemini Robotics ER 1.5 model in preview." } ] }, { "timeline": "google-gemini-model-releases", "id": 1126, "url": "https://whatledto.com/events/google-gemini-model-releases#n1126", "date": "2025-09-23", "date_precision": "day", "title": "Google releases a Gemini 2.5 Flash native-audio preview", "summary": "Google released gemini-2.5-flash-native-audio-preview-09-2025 for the Live API. Google said the model included improved function calling and speech cutoff handling.", "type": "launch", "entities": [ "Google", "Gemini 2.5 Flash Native Audio", "Gemini Live API" ], "parties": [ "google", "gemini-25-flash-native-audio", "gemini-live-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-2.5-flash-native-audio-preview-09-2025`, a new native audio model for the Live API with improved function calling and speech cut off handling." } ] }, { "timeline": "google-gemini-model-releases", "id": 1596, "url": "https://whatledto.com/events/google-gemini-model-releases#n1596", "date": "2025-09-09", "date_precision": "day", "title": "Veo 3 and Veo 3 Fast reach general availability", "summary": "Google launched Veo 3 and Veo 3 Fast in general availability. The release included lower pricing and options for aspect ratios, resolution, and seeding.", "type": "launch", "entities": [ "Google", "Veo 3", "Veo 3 Fast" ], "parties": [ "google", "veo-3", "veo-3-fast" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2025-09-09", "quote": "Launched Veo 3 and Veo 3 Fast GA, with lower pricing and new options for aspect ratios, resolution, and seeding." } ] }, { "timeline": "google-gemini-model-releases", "id": 1595, "url": "https://whatledto.com/events/google-gemini-model-releases#n1595", "date": "2025-08-26", "date_precision": "day", "title": "Google launches Gemini 2.5 Image Preview", "summary": "Google launched Gemini 2.5 Image Preview. Google described it as a native image-generation model.", "type": "launch", "entities": [ "Google", "Gemini 2.5 Image Preview" ], "parties": [ "google", "gemini-25-image-preview" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": "2025-08-26", "quote": "Launched Gemini 2.5 Image Preview, our latest native image generation model." }, { "url": "https://blog.google/products-and-platforms/products/gemini/updated-image-editing-model/", "outlet": "Google Blog", "published": "2025-08-26", "quote": "Nano Banana is the latest upgrade to image generation in the Gemini app." } ] }, { "timeline": "google-gemini-model-releases", "id": 1124, "url": "https://whatledto.com/events/google-gemini-model-releases#n1124", "date": "2025-08-01", "date_precision": "day", "title": "Gemini 2.5 Deep Think reaches Google AI Ultra subscribers", "summary": "Google made Deep Think available in the Gemini app to Google AI Ultra subscribers. The availability was announced by Google Blog.", "type": "shipment", "entities": [ "Google", "Gemini 2.5 Deep Think", "Google AI Ultra" ], "parties": [ "google", "gemini-25-deep-think", "google-ai-ultra" ], "sources": [ { "url": "https://blog.google/products-and-platforms/products/gemini/gemini-2-5-deep-think/", "outlet": "Google Blog", "published": "2025-08-01", "quote": "Today, we’re making Deep Think available in the Gemini app to Google AI Ultra subscribers — the latest in a lineup of extremely capable AI tools and features made exclusively available to them." } ] }, { "timeline": "google-gemini-model-releases", "id": 1123, "url": "https://whatledto.com/events/google-gemini-model-releases#n1123", "date": "2025-07-22", "date_precision": "day", "title": "Gemini 2.5 Flash-Lite reaches general availability", "summary": "Google released gemini-2.5-flash-lite. Google described it as a Gemini 2.5 model for speed, low cost, and performance.", "type": "shipment", "entities": [ "Google", "Gemini 2.5 Flash-Lite", "Gemini API" ], "parties": [ "google", "gemini-25-flash-lite", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-2.5-flash-lite`, our fast, low-cost, high-performance Gemini 2.5 model." } ] }, { "timeline": "google-gemini-model-releases", "id": 1120, "url": "https://whatledto.com/events/google-gemini-model-releases#n1120", "date": "2025-06-17", "date_precision": "day", "title": "Gemini 2.5 Pro and Flash reach general availability", "summary": "Google released Gemini 2.5 Pro and Gemini 2.5 Flash as stable and generally available models. The release was announced through Google Blog.", "type": "shipment", "entities": [ "Google", "Gemini 2.5 Pro", "Gemini 2.5 Flash", "Gemini 2.5 Flash-Lite", "Gemini API", "Vertex AI" ], "parties": [ "google", "gemini-25-pro", "gemini-25-flash", "gemini-25-flash-lite", "gemini-api", "vertex-ai" ], "sources": [ { "url": "https://blog.google/products-and-platforms/products/gemini/gemini-2-5-model-family-expands/", "outlet": "Google Blog", "published": "2025-06-17", "quote": "Today, we’re taking the next step with our 2.5 Pro and Flash models by releasing them as stable and generally available." } ] }, { "timeline": "google-gemini-model-releases", "id": 1118, "url": "https://whatledto.com/events/google-gemini-model-releases#n1118", "date": "2025-05-20", "date_precision": "day", "title": "Google releases Gemini 2.5 Flash and Pro TTS previews", "summary": "Google released Gemini 2.5 Flash TTS and Gemini 2.5 Pro TTS preview models. The models could generate speech with one or two speakers.", "type": "launch", "entities": [ "Google", "Gemini 2.5 Flash TTS", "Gemini 2.5 Pro TTS", "Gemini Live API" ], "parties": [ "google", "gemini-25-flash-tts", "gemini-25-pro-tts", "gemini-live-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released the `gemini-2.5-pro-preview-tts` and `gemini-2.5-flash-preview-tts` models, which are capable of generating speech with one or two speakers." } ] }, { "timeline": "google-gemini-model-releases", "id": 1117, "url": "https://whatledto.com/events/google-gemini-model-releases#n1117", "date": "2025-05-07", "date_precision": "day", "title": "Google releases Gemini 2.0 Flash image-generation preview", "summary": "Google released gemini-2.0-flash-preview-image-generation as a preview model. The model generated and edited images.", "type": "launch", "entities": [ "Google", "Gemini 2.0 Flash", "Gemini API" ], "parties": [ "google", "gemini-20-flash", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-2.0-flash-preview-image-generation`, a preview model for generating and editing images." } ] }, { "timeline": "google-gemini-model-releases", "id": 1116, "url": "https://whatledto.com/events/google-gemini-model-releases#n1116", "date": "2025-04-17", "date_precision": "day", "title": "Gemini 2.5 Flash enters public preview", "summary": "Google released gemini-2.5-flash-preview-04-17. Google described the preview model as optimized for price-performance and adaptive thinking.", "type": "launch", "entities": [ "Google", "Gemini 2.5 Flash", "Gemini API" ], "parties": [ "google", "gemini-25-flash", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-2.5-flash-preview-04-17`, a Gemini preview model optimized for price-performance and adaptive thinking." } ] }, { "timeline": "google-gemini-model-releases", "id": 1115, "url": "https://whatledto.com/events/google-gemini-model-releases#n1115", "date": "2025-04-09", "date_precision": "day", "title": "Google releases Gemini 2.0 Flash Live API preview", "summary": "Google released gemini-2.0-flash-live-001 as a public-preview Live API model. Billing was enabled for the release.", "type": "launch", "entities": [ "Google", "Gemini 2.0 Flash Live", "Gemini Live API" ], "parties": [ "google", "gemini-20-flash-live", "gemini-live-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-2.0-flash-live-001`, a public preview version of the Live API model with billing enabled." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 865, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n865", "date": "2025-04-09", "date_precision": "day", "title": "Ironwood: the seventh TPU, built for inference, scales to 9,216 chips and 42.5 exaflops", "summary": "At Cloud Next Google introduced Ironwood as the first TPU designed specifically for inference and 'thinking' models, with 192 GB of HBM per chip and pods of 9,216 chips delivering 42.5 exaflops. It became the chip behind Google's TPU sales push to Anthropic and Meta over the following year.", "type": "launch", "entities": [ "Google", "Ironwood" ], "parties": [ "google", "ironwood" ], "sources": [ { "url": "https://blog.google/products/google-cloud/ironwood-tpu-age-of-inference/", "outlet": "Google (The Keyword)", "published": "2025-04-09", "quote": "Today at Google Cloud Next 25, we’re introducing Ironwood, our seventh-generation Tensor Processing Unit (TPU) — our most performant and scalable custom AI accelerator to date, and the first designed specifically for inference." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 890, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n890", "date": "2025-03-17", "date_precision": "day", "title": "Reuters: Google is preparing a second TPU design partner, MediaTek, for a chip to be built in 2026", "summary": "Reuters, citing The Information, reported that Google was preparing to work with MediaTek on a next-generation TPU expected to be manufactured in 2026, alongside its long-standing Broadcom partnership. Google, MediaTek and Broadcom did not comment. The two-partner split later surfaced as TPU 8t from Broadcom and TPU 8i from MediaTek.", "type": "report", "entities": [ "Google", "MediaTek", "Broadcom" ], "parties": [ "google", "mediatek", "broadcom" ], "sources": [ { "url": "https://www.marketscreener.com/quote/stock/ALPHABET-INC-24203373/news/Google-preparing-to-partner-with-Taiwan-s-MediaTek-on-next-AI-chip-Information-reports-49351796/", "outlet": "Reuters via MarketScreener", "published": "2025-03-17", "quote": "Google, MediaTek and Broadcom did not immediately respond to Reuters' requests for comment." } ] }, { "timeline": "google-gemini-model-releases", "id": 1113, "url": "https://whatledto.com/events/google-gemini-model-releases#n1113", "date": "2025-03-12", "date_precision": "day", "title": "Google launches an experimental Gemini 2.0 Flash image model", "summary": "Google launched an experimental Gemini 2.0 Flash model capable of image generation and editing. The model was recorded in the Gemini API changelog.", "type": "launch", "entities": [ "Google", "Gemini 2.0 Flash", "Gemini API" ], "parties": [ "google", "gemini-20-flash", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Launched an experimental Gemini 2.0 Flash model capable of image generation and editing." } ] }, { "timeline": "google-gemini-model-releases", "id": 1111, "url": "https://whatledto.com/events/google-gemini-model-releases#n1111", "date": "2025-02-25", "date_precision": "day", "title": "Gemini 2.0 Flash-Lite reaches general availability", "summary": "Google released gemini-2.0-flash-lite as a generally available Gemini 2.0 Flash-Lite model. Google described the model as optimized for speed, scale, and cost efficiency.", "type": "shipment", "entities": [ "Google", "Gemini 2.0 Flash-Lite", "Gemini API" ], "parties": [ "google", "gemini-20-flash-lite", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-2.0-flash-lite`, a generally available (GA) version of Gemini 2.0 Flash-Lite, which is optimized for speed, scale, and cost efficiency." } ] }, { "timeline": "google-gemini-model-releases", "id": 1110, "url": "https://whatledto.com/events/google-gemini-model-releases#n1110", "date": "2025-02-18", "date_precision": "day", "title": "Google ends Gemini 1.0 Pro support", "summary": "Google ended support for Gemini 1.0 Pro. The status was recorded in the Gemini API release notes.", "type": "other", "entities": [ "Google", "Gemini 1.0 Pro", "Gemini API" ], "parties": [ "google", "gemini-10-pro", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Gemini 1.0 Pro is no longer supported." } ] }, { "timeline": "google-gemini-model-releases", "id": 1109, "url": "https://whatledto.com/events/google-gemini-model-releases#n1109", "date": "2025-02-05", "date_precision": "day", "title": "Google releases Gemini 2.0 Pro Experimental", "summary": "Google released an experimental version of Gemini 2.0 Pro. Google described it as a model for coding performance and complex prompts.", "type": "launch", "entities": [ "Google", "Gemini 2.0 Pro Experimental", "Gemini API", "Vertex AI" ], "parties": [ "google", "gemini-20-pro-experimental", "gemini-api", "vertex-ai" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-model-updates-february-2025/", "outlet": "Google Blog", "published": "2025-02-05", "quote": "We’re also releasing an experimental version of Gemini 2.0 Pro, our best model yet for coding performance and complex prompts." } ] }, { "timeline": "google-gemini-model-releases", "id": 1108, "url": "https://whatledto.com/events/google-gemini-model-releases#n1108", "date": "2025-02-05", "date_precision": "day", "title": "Gemini 2.0 Flash reaches general availability", "summary": "Google made the updated Gemini 2.0 Flash generally available through the Gemini API in Google AI Studio and Vertex AI. The release was announced by Google Blog.", "type": "shipment", "entities": [ "Google", "Gemini 2.0 Flash", "Gemini API", "Google AI Studio", "Vertex AI" ], "parties": [ "google", "gemini-20-flash", "gemini-api", "google-ai-studio", "vertex-ai" ], "sources": [ { "url": "https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-model-updates-february-2025/", "outlet": "Google Blog", "published": "2025-02-05", "quote": "Today, we’re making the updated Gemini 2.0 Flash generally available via the Gemini API in Google AI Studio and Vertex AI." } ] }, { "timeline": "google-gemini-model-releases", "id": 1107, "url": "https://whatledto.com/events/google-gemini-model-releases#n1107", "date": "2024-12-19", "date_precision": "day", "title": "Gemini 2.0 Flash Thinking Mode enters public preview", "summary": "Google released Gemini 2.0 Flash Thinking Mode in public preview. The release was listed in the Gemini API changelog.", "type": "launch", "entities": [ "Google", "Gemini 2.0 Flash Thinking", "Gemini API" ], "parties": [ "google", "gemini-20-flash-thinking", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released Gemini 2.0 Flash Thinking Mode for public preview." } ] }, { "timeline": "google-gemini-model-releases", "id": 1105, "url": "https://whatledto.com/events/google-gemini-model-releases#n1105", "date": "2024-10-03", "date_precision": "day", "title": "Gemini 1.5 Flash 8B reaches general availability", "summary": "Google released gemini-1.5-flash-8b-001 as a stable model. Google described it as its smallest Gemini API model.", "type": "shipment", "entities": [ "Google", "Gemini 1.5 Flash 8B", "Gemini API" ], "parties": [ "google", "gemini-15-flash-8b", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-1.5-flash-8b-001`, a stable version of our smallest Gemini API model." } ] }, { "timeline": "google-gemini-model-releases", "id": 1104, "url": "https://whatledto.com/events/google-gemini-model-releases#n1104", "date": "2024-09-24", "date_precision": "day", "title": "Google releases stable Gemini 1.5 Pro and Flash 002", "summary": "Google released stable Gemini 1.5 Pro 002 and Gemini 1.5 Flash 002 versions for general availability. The releases were identified as gemini-1.5-pro-002 and gemini-1.5-flash-002.", "type": "shipment", "entities": [ "Google", "Gemini 1.5 Pro", "Gemini 1.5 Flash", "Gemini API" ], "parties": [ "google", "gemini-15-pro", "gemini-15-flash", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released `gemini-1.5-pro-002` and `gemini-1.5-flash-002`, two new stable versions of Gemini 1.5 Pro and 1.5 Flash, for general availability." } ] }, { "timeline": "google-gemini-model-releases", "id": 1103, "url": "https://whatledto.com/events/google-gemini-model-releases#n1103", "date": "2024-07-12", "date_precision": "day", "title": "Google removes Gemini 1.0 Pro Vision support", "summary": "Google removed support for Gemini 1.0 Pro Vision from Google AI services and tools. The removal affected the Gemini API model line.", "type": "other", "entities": [ "Google", "Gemini 1.0 Pro Vision", "Gemini API" ], "parties": [ "google", "gemini-10-pro-vision", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Support for Gemini 1.0 Pro Vision removed from Google AI services and tools." } ] }, { "timeline": "google-gemini-model-releases", "id": 1102, "url": "https://whatledto.com/events/google-gemini-model-releases#n1102", "date": "2024-06-27", "date_precision": "day", "title": "Gemini 1.5 Pro two-million-token context reaches GA", "summary": "Google made the two-million-token context window for Gemini 1.5 Pro generally available. The capability had previously been offered through a waitlist.", "type": "shipment", "entities": [ "Google", "Gemini 1.5 Pro", "Gemini API" ], "parties": [ "google", "gemini-15-pro", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "General availability release for Gemini 1.5 Pro's 2M context window." } ] }, { "timeline": "google-gemini-model-releases", "id": 1101, "url": "https://whatledto.com/events/google-gemini-model-releases#n1101", "date": "2024-05-23", "date_precision": "day", "title": "Gemini 1.5 Flash reaches general availability", "summary": "Google made gemini-1.5-flash-001 generally available. This was a production Gemini API release for Gemini 1.5 Flash.", "type": "shipment", "entities": [ "Google", "Gemini 1.5 Flash", "Gemini API" ], "parties": [ "google", "gemini-15-flash", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Gemini 1.5 Flash (`gemini-1.5-flash-001`) is generally available (GA)." } ] }, { "timeline": "google-gemini-model-releases", "id": 1100, "url": "https://whatledto.com/events/google-gemini-model-releases#n1100", "date": "2024-05-23", "date_precision": "day", "title": "Gemini 1.5 Pro reaches general availability", "summary": "Google made gemini-1.5-pro-001 generally available. This was a production Gemini API release for Gemini 1.5 Pro.", "type": "shipment", "entities": [ "Google", "Gemini 1.5 Pro", "Gemini API" ], "parties": [ "google", "gemini-15-pro", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Gemini 1.5 Pro (`gemini-1.5-pro-001`) is generally available (GA)." } ] }, { "timeline": "google-gemini-model-releases", "id": 1099, "url": "https://whatledto.com/events/google-gemini-model-releases#n1099", "date": "2024-05-14", "date_precision": "day", "title": "Gemini 1.5 Pro gets a two-million-token waitlist", "summary": "Google introduced a two-million-token context window for Gemini 1.5 Pro through a waitlist. The capability was listed in the Gemini API release notes.", "type": "financial", "entities": [ "Google", "Gemini 1.5 Pro", "Gemini API", "Vertex AI" ], "parties": [ "google", "gemini-15-pro", "gemini-api", "vertex-ai" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Introduced a 2M context window for Gemini 1.5 Pro (waitlist)." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 863, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n863", "date": "2024-05-14", "date_precision": "day", "title": "Trillium, the sixth-generation TPU: 4.7x the compute of v5e at Google I/O", "summary": "Google announced Trillium with a 4.7x jump in peak compute per chip over TPU v5e, doubled HBM and interconnect bandwidth and 67 percent better energy efficiency, and said the models unveiled at I/O, including Gemini 1.5 Flash, were trained and served on TPUs. Trillium was the last single-purpose TPU before the split into inference and training parts.", "type": "launch", "entities": [ "Google", "Trillium" ], "parties": [ "google", "trillium" ], "sources": [ { "url": "https://cloud.google.com/blog/products/compute/introducing-trillium-6th-gen-tpus", "outlet": "Google Cloud Blog", "published": "2024-05-15", "quote": "Trillium TPUs achieve an impressive 4.7X increase in peak compute performance per chip compared to TPU v5e." } ] }, { "timeline": "google-gemini-model-releases", "id": 1098, "url": "https://whatledto.com/events/google-gemini-model-releases#n1098", "date": "2024-05-10", "date_precision": "day", "title": "Gemini 1.5 Flash enters Gemini API preview", "summary": "Google's Gemini API release notes record Gemini 1.5 Flash as released in preview. A Google Blog post dated May 14 discussed applications requiring lower latency and lower serving cost.", "type": "launch", "entities": [ "Google", "Gemini 1.5 Flash", "Gemini API" ], "parties": [ "google", "gemini-15-flash", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released Gemini 1.5 Flash (`gemini-1.5-flash-latest`) in preview." }, { "url": "https://blog.google/innovation-and-ai/products/google-gemini-update-flash-ai-assistant-io-2024/", "outlet": "Google Blog", "published": "2024-05-14", "quote": "We know from user feedback that some applications need lower latency and a lower cost to serve." } ] }, { "timeline": "google-gemini-model-releases", "id": 1097, "url": "https://whatledto.com/events/google-gemini-model-releases#n1097", "date": "2024-04-09", "date_precision": "day", "title": "Gemini 1.5 Pro enters Gemini API preview", "summary": "Google released Gemini 1.5 Pro in preview through the gemini-1.5-pro-latest endpoint. The release made the model available through the Gemini API.", "type": "launch", "entities": [ "Google", "Gemini 1.5 Pro", "Gemini API" ], "parties": [ "google", "gemini-15-pro", "gemini-api" ], "sources": [ { "url": "https://ai.google.dev/gemini-api/docs/changelog", "outlet": "Google AI for Developers", "published": null, "quote": "Released Gemini 1.5 Pro (`gemini-1.5-pro-latest`) in preview." } ] }, { "timeline": "google-gemini-model-releases", "id": 1077, "url": "https://whatledto.com/events/google-gemini-model-releases#n1077", "date": "2023-12-06", "date_precision": "day", "title": "Google introduces Gemini 1.0 in Ultra, Pro and Nano sizes", "summary": "Sundar Pichai and Demis Hassabis presented Gemini as Google's most capable and general model, built natively multimodal and shipped in three sizes so the same family could run from a data centre to a phone.", "type": "launch", "entities": [ "Google", "Google DeepMind", "Sundar Pichai", "Demis Hassabis" ], "parties": [ "google", "google-deepmind", "sundar-pichai", "demis-hassabis" ], "sources": [ { "url": "https://blog.google/technology/ai/google-gemini-ai/", "outlet": "Google (The Keyword)", "published": "2023-12-06", "quote": "Our first version, Gemini 1.0, is optimized for different sizes: Ultra, Pro and Nano." } ] }, { "timeline": "hyperscaler-custom-accelerators", "id": 861, "url": "https://whatledto.com/events/hyperscaler-custom-accelerators#n861", "date": "2023-12-06", "date_precision": "day", "title": "Google's TPU v5p arrives with Gemini, which was trained and served on TPUs", "summary": "The same day it announced Gemini, Google Cloud introduced TPU v5p, its most powerful accelerator to date, with 8,960 chips per pod, more than twice the FLOPS and three times the HBM of TPU v4, and said Gemini had been trained on and was served from TPUs. It set the pattern for the next three years: each Google model generation ships on a new TPU.", "type": "launch", "entities": [ "Google", "TPU v5p" ], "parties": [ "google", "tpu-v5p" ], "sources": [ { "url": "https://cloud.google.com/blog/products/ai-machine-learning/introducing-cloud-tpu-v5p-and-ai-hypercomputer", "outlet": "Google Cloud Blog", "published": "2023-12-07", "quote": "Today, to address these challenges, we are excited to announce Cloud TPU v5p, our most powerful, scalable, and flexible AI accelerator thus far." }, { "url": "https://cloud.google.com/blog/products/ai-machine-learning/introducing-cloud-tpu-v5p-and-ai-hypercomputer", "outlet": "Google Cloud Blog", "published": "2023-12-07", "quote": "In fact, Gemini, Google’s most capable and general AI model announced today, was trained on, and is served, using TPUs." } ] } ], "often_with": [ { "id": "anthropic", "name": "Anthropic", "url": "https://whatledto.com/who/anthropic", "json": "https://whatledto.com/who/anthropic.json", "shared_timelines": 2 }, { "id": "amazon-web-services", "name": "Amazon Web Services", "url": "https://whatledto.com/who/amazon-web-services", "json": "https://whatledto.com/who/amazon-web-services.json", "shared_timelines": 2 }, { "id": "google-cloud", "name": "Google Cloud", "url": "https://whatledto.com/who/google-cloud", "json": "https://whatledto.com/who/google-cloud.json", "shared_timelines": 2 }, { "id": "microsoft", "name": "Microsoft", "url": "https://whatledto.com/who/microsoft", "json": "https://whatledto.com/who/microsoft.json", "shared_timelines": 2 }, { "id": "bloomberg", "name": "Bloomberg", "url": "https://whatledto.com/who/bloomberg", "json": "https://whatledto.com/who/bloomberg.json", "shared_timelines": 1 }, { "id": "google-deepmind", "name": "Google DeepMind", "url": "https://whatledto.com/who/google-deepmind", "json": "https://whatledto.com/who/google-deepmind.json", "shared_timelines": 1 }, { "id": "us-government", "name": "U.S. government", "url": "https://whatledto.com/who/us-government", "json": "https://whatledto.com/who/us-government.json", "shared_timelines": 1 }, { "id": "us-house-of-representatives", "name": "U.S. House of Representatives", "url": "https://whatledto.com/who/us-house-of-representatives", "json": "https://whatledto.com/who/us-house-of-representatives.json", "shared_timelines": 1 } ], "license": { "holder": "What Led To", "terms": "https://whatledto.com/methodology#reuse", "summary": "Quote entries with attribution and a link to the entry; do not republish whole timelines or train models on the text." } }