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Most recently updated firstOct14
Custom AI Silicon at the Hyperscalers: TPU, Trainium, Maia, MTIA and the OpenAI–Broadcom Chip
Google, AWS, Microsoft and Meta began designing AI accelerators to run their own workloads rather than rely solely on merchant GPUs; the programs have since expanded into large external and frontier-lab deployments. AWS has put nearly 500,000 Trainium2 chips into Anthropic’s Project Rainier, Google has made Ironwood generally available and is selling TPU capacity to Anthropic and Meta, while Meta, Microsoft and OpenAI are moving their next designs toward much larger deployments.
Oct14
OpenAI Frontier Models: From GPT-4 to GPT-6 Astra
OpenAI’s frontier line began with GPT-4 in 2023, then added cheaper long-context, multimodal, and reasoning-focused models before GPT-5 combined fast and extended-reasoning modes behind a router. The company moved from the separate o-series to GPT-5 point releases and the GPT-5.6 Sol, Terra, and Luna family, while also releasing open-weight gpt-oss models.
