Amazon Web Services
The largest cloud provider and a builder of its own AI chips.
Role in each timeline
- Intel Foundry and 18A: From IDM 2.0 to a Government-Owned Stake
Expanded its Intel relationship to include an AI fabric chip on Intel 18A.
- Nvidia Data Center GPUs: Hopper, Blackwell and Vera Rubin
Cloud provider identified by Nvidia as an early planned deployer of Vera Rubin-based instances.
- Anthropic's Claude: From the Claude 3 Family to a Model the Government Switched Off
Cloud provider offering selected Claude models through Amazon Bedrock and Claude Platform on AWS.
- Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip
Develops and operates Trainium systems and is Anthropic's primary training provider under their long-term compute agreement.
- OpenAI Frontier Models: From GPT-4 to GPT-6 Astra
Made GPT-6 Astra generally available through Amazon Bedrock.
Amazon Web Services across every timeline
Every dated entry that names Amazon Web Services, from all 5 timelines, newest first. Earlier years show only dates and titles; click a year to show the details.
20266 entries
- Anthropic launches Claude Haiku 5.5 Launch
Anthropic launched Claude Haiku 5.5 as its small model in the Claude 5.5 family. Anthropic said the model was available across its platforms, Amazon Web Services, Google Cloud, and Microsoft Azure; AWS announced availability on Amazon Bedrock and Claude Platform on AWS.
on Anthropic's Claude: From the Claude 3 Family to a Model the Government Switched Off - OpenAI releases GPT-6.1 Sol Launch
OpenAI released GPT-6.1 Sol for complex coding and professional work at a lower cost than GPT-6 Astra, at $2 per million input tokens and $10 per million output tokens for prompts up to 272K input tokens. The model also supports multi-agent delegation in beta.
on OpenAI Frontier Models: From GPT-4 to GPT-6 Astra - AWS makes GPT-6 Astra generally available on Amazon Bedrock Launch
AWS announced the general availability of GPT-6 Astra from OpenAI on Amazon Bedrock. AWS said customers could access the model through Amazon Bedrock.
on OpenAI Frontier Models: From GPT-4 to GPT-6 Astra - GPT-6 Astra launches to a limited set of organizations, with broad access to follow within days Launch
OpenAI introduced GPT-6 Astra, calling it its most intelligent and aligned model and reporting 98 percent on FrontierMath Tier 4 and 99.9 percent on ARC-AGI-3. It rolled out first to a limited set of organizations, with ChatGPT Plus, Pro, Business, Enterprise, the API and AWS to follow; API pricing was set at $10 and $50 per million tokens, and advanced cyber capabilities were gated behind OpenAI Daybreak.
on OpenAI Frontier Models: From GPT-4 to GPT-6 Astra - Amazon puts up to $25 billion more into Anthropic; Anthropic commits $100 billion to AWS and up to 5 GW of Trainium Announcement
Amazon invested $5 billion immediately with up to $20 billion more tied to milestones, on top of $8 billion since 2023, and Anthropic committed more than $100 billion over ten years to AWS, securing up to 5 GW across Trainium2, 3 and 4 with nearly 1 GW of Trainium2 and Trainium3 online by end-2026. Anthropic said it already used more than one million Trainium2 chips and kept AWS as its primary training provider.
on Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip - NVIDIA unveils the six-chip Rubin platform Financial
NVIDIA unveiled the Rubin platform, which it said comprised six chips. It said AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure would be among the first to deploy Vera Rubin-based instances.
on Nvidia Data Center GPUs: Hopper, Blackwell and Vera Rubin
20252 entries
- Trainium3 UltraServers go GA: AWS's first 3nm chip, 144 chips and 362 petaflops per system Launch
At re:Invent AWS launched Trn3 UltraServers with up to 4.4x the compute, 4x the energy efficiency and nearly 4x the memory bandwidth of Trainium2 systems, said Bedrock was already serving production traffic on Trainium3, and listed Anthropic among customers cutting costs by up to half on Trainium. Trainium4 was previewed for 2027.
on Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip - Project Rainier is live: nearly 500,000 Trainium2 chips, Claude on more than a million by year-end Launch
AWS said Rainier was fully operational less than a year after it was announced, spread across multiple U.S. data centers, with Anthropic already training and serving Claude on it and expected to be on more than one million Trainium2 chips by the end of 2025. It was the largest deployment of a non-Nvidia accelerator for a frontier model.
on Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip
20242 entries
- Trainium2 goes GA; AWS and Anthropic announce Project Rainier and preview Trainium3 Launch
AWS made Trn2 instances generally available, claiming 30 to 40 percent better price-performance than GPU instances, introduced 64-chip Trn2 UltraServers, and said it was building Project Rainier with Anthropic, an UltraCluster of hundreds of thousands of Trainium2 chips with more than five times the compute used to train Anthropic's current models. Trainium3, on a 3nm process, was previewed for late 2025.
on Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip - Intel Foundry to become an independent subsidiary; AWS signs on for 18A; Germany and Poland paused two years Announcement
After a loss-making quarter and job cuts, Gelsinger said Intel would set up Intel Foundry as an independent subsidiary inside Intel, expand its collaboration with Amazon Web Services including an AI fabric chip on 18A, and pause its planned fabs in Germany and Poland by about two years.
on Intel Foundry and 18A: From IDM 2.0 to a Government-Owned Stake
- Dec 3, 2024Trainium2 goes GA; AWS and Anthropic announce Project Rainier and preview Trainium3
- Sep 16, 2024Intel Foundry to become an independent subsidiary; AWS signs on for 18A; Germany and Poland paused two years
20231 entry
- AWS announces Trainium2: 4x faster training, clusters of 100,000 chips, Anthropic among first users Launch
At re:Invent AWS introduced Trainium2 alongside Graviton4, promising up to four times the training speed of the first Trainium and deployment in EC2 UltraClusters of up to 100,000 chips. Anthropic, in which Amazon had just agreed to invest up to $4 billion, was named among the customers, the start of the Trainium-for-Claude relationship.
on Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip