Topic · Concept

AI chips

AI chips are the processors that train and run AI models: GPUs from Nvidia, AMD and Intel, custom accelerators such as Google's TPUs, and NPUs in PCs. This page tracks the chips themselves, their memory and software, who designs and manufactures them, and the supply limits that decide how many get built.

15 stories · updated Oct 14

Key facts

Checked Oct 23

Latest on AI chips

Hardware · NewsIntel GPU D270: Intel's inference GPU trades HBM for up to 480 GB of LPDDR5XAt the OCP Global Summit on October 12, 2026, Intel named its Crescent Island accelerator the GPU D270: an air-cooled 350 W PCIe card with 1.3 petaflops of FP8, 160 GB of LPDDR5X on Intel's own card and up to 480 GB on partner cards. Customer sampling has started; Intel hasn't given a launch date.·4 min readHardware · NewsMicrosoft Maia 300 AI chip: 288 GB of HBM4, 2nm compute and a 40% tokens-per-megawatt claimOn October 12, 2026, Microsoft unveiled Maia 300, its third in-house AI accelerator, built for inference and due in multi-gigawatt Azure deployments from 2027. The specs, the efficiency claim, and what's still unverified.·5 min readHardware · NewsAMD Helion: an open rack design for agentic AI with up to 32,768 Zen 6 coresAMD introduced Helion on October 12, 2026, an OCP-based rack blueprint that fills a rack with EPYC 'Venice' CPUs to run AI agents, or mixes in up to 16 Instinct MI350P GPUs. What's in it, who's building it, and when it ships.·5 min readHardware · NewsNvidia's Vera Rubin reaches customer production as AMD buys an AI labCoreWeave says Cognition is the first customer running production work on Vera Rubin NVL72. Two days earlier, AMD agreed to buy World Labs for about $8.2 billion in stock.·4 min readHardware · ExplainerWhat an NPU actually does, and why the TOPS number on your laptop matters less than you thinkCopilot+ PCs need a 40-TOPS 'AI engine'. Here's what that chip accelerates, which apps really use it, and why tools like Ollama mostly ignore it.·7 min read

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