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Google is reportedly building a chip line separate from its TPUs that hardwires parts of Gemini directly into silicon, promising up to 10x efficiency as a capacity crunch forces Cloud to turn away customers.
Anthropic has committed $200 billion to Google Cloud over five years - the largest cloud contract in AI history - alongside a 3.5 GW TPU capacity deal with Google and Broadcom coming online in 2027.
Google's TPU 8i is a purpose-built inference chip with 10.1 FP4 PFLOPs, 288GB HBM3e at 8,601 GB/s, and a Boardfly topology that cuts collective latency 5x for agentic AI workloads.
Google's TPU 8t packs 12.6 FP4 PFLOPs and 216GB HBM3e per chip, scaling to 9,600-chip superpods with 121 ExaFLOPS and 2 petabytes of shared HBM for massive model training.
Google commits up to $40 billion to Anthropic alongside five gigawatts of cloud compute, making it the largest single infrastructure bet in AI history.
Anthropic's run-rate revenue has surpassed $30 billion in 2026, tripling from $9 billion at end of 2025, as the company secures 3.5 gigawatts of next-gen TPU compute from Broadcom starting in 2027.
Awesome Agents launches a dedicated Hardware section with detailed spec pages for 21 GPUs, TPUs, and AI accelerators - from datacenter flagships to home lab favorites.
Google Cloud TPU v6e Trillium specs, benchmarks, and pricing. 32GB HBM per chip, ~1,600 GB/s bandwidth, optimized for Transformer training and inference at cloud scale.
Google TPU v7 Ironwood specs, architecture, and performance estimates. Google's next-gen inference-optimized TPU with massive memory per chip, announced at Cloud Next 2025.
Meta has agreed to rent Google's Ironwood TPUs through Google Cloud to train next-generation AI models, adding a third major chip supplier alongside Nvidia and AMD in a single month.
