Anthropic-Google TPU deal
The Anthropic-Google TPU deal is a set of escalating compute and investment agreements between the AI lab Anthropic and Google, built around Anthropic running Claude on Google's tensor processing units (TPUs).
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Frozen v2 (Google AI chip)
Frozen v2 is the informal internal codename for a specialized artificial-intelligence inference chip that Google is reportedly developing to run its Gemini models more cheaply and with far less energy.
Google TPU 8i
Google TPU 8i is an eighth-generation Tensor Processing Unit from Google, built specifically for AI inference rather than model training.
Google TPU 8t
Google TPU 8t is the training-focused member of Google's eighth-generation Tensor Processing Unit family, previewed at Google Cloud Next on April 22, 2026.
Google Virgo Network
Virgo Network is a megascale data-center fabric introduced by Google at Google Cloud Next 2026 in April 2026.
Project Suncatcher
Project Suncatcher is a long-term research "moonshot" at Google that studies whether machine learning compute could one day be hosted in space, on constellations of solar-powered satellites carrying Google…
TPU Ironwood
TPU Ironwood (listed as TPU7x in Google Cloud's documentation and also called TPU v7) is Google's seventh-generation Tensor Processing Unit
TPU Pod
A TPU Pod is a single Google supercomputer built from many Tensor Processing Unit (TPU) chips wired directly to each other by a high-speed Inter-Chip Interconnect (ICI) fabric arranged as a 2D or 3D torus, so…
TPU v4
TPU v4 is Google's fourth-generation Tensor Processing Unit, a custom application-specific integrated circuit (ASIC) that accelerates machine learning workloads in Google's data centers and on Google Cloud.
TPU v5e
Cloud TPU v5e (sometimes rendered TPU v5e or, internally at Google, TPUv5e) is the fifth-generation, efficiency-optimized member of Google's Tensor Processing Unit (TPU) family.
TPU v5p
TPU v5p (Cloud TPU v5p) is Google's fifth-generation, performance-tier Tensor Processing Unit, a custom AI accelerator that delivers 459 bfloat16 TFLOPS per chip and scales to pods of 8,960 chips (about 4.45…
Tensor Processing Unit (TPU)
A Tensor Processing Unit (TPU) is a family of custom application-specific integrated circuits developed by Google to accelerate machine-learning computation.
Trillium (TPU v6e)
Trillium, also designated TPU v6e, is the sixth-generation Tensor Processing Unit developed by Google for machine learning training and inference workloads on Cloud TPU infrastructure.