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TPU v6e Pod

TPU v6e Pod is a Google AI system with 256 Google TPU v6e and 64 Custom host.

Built from BenchGecko data as of April 14, 2026 · updates when the data changes

TPU v6e Pod on /systems
TL;DR

TPU v6e Pod is a Google AI system with 256 Google TPU v6e and 64 Custom host.

Level 1

Google's latest custom AI accelerator in pod configuration. 256 TPU v6e chips connected via custom ICI (Inter-Chip Interconnect). Optimized for both training and inference of Google's Gemini models. Available on Google Cloud as Cloud TPU v6e. Significant perf/watt improvement over v5e.

Level 2

The dataset lists 230 PFLOPS of FP8 compute and 115 PFLOPS at BF16. It has 8 TB of HBM3e. Interconnect: ICI 4.0. Power: 60 kW, liquid cooled.

Level 3

Known deployments: Google DeepMind and Google Cloud. Figures come from spec sheets and disclosures in the curated systems dataset, dated on the systems page.

The takeaway for you
If you are a
Researcher
  • ·256 × Google TPU v6e
  • ·Interconnect: ICI 4.0
If you are a
Builder
  • ·liquid cooling · 60 kW
  • ·Compare systems on /systems/google-tpu-v6e-pod
If you are a
Investor
  • ·Deployed by Google DeepMind and Google Cloud
If you are a
Curious · Normie
  • ·TPU v6e Pod is a big AI computer built from many Google TPU v6e chips
TPU v6e Pod is a Google AI system with 256 Google TPU v6e and 64 Custom host.
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