Google TPU 8i Pod
Google's eighth-generation inference pod, built on a Boardfly topology rather than a torus, with a maximum seven-hop ICI network diameter. Google describes joining up to 1,152 TPU 8i chips together with up to 1,024 of them active; the figures here use the 1,024 active count, because crediting the pod with throughput from chips Google does not call active would overstate it. At Google's published 10.1 PFLOPS of FP4 per chip that is 10.34 EFLOPS, with 294.9 TB of HBM and 8.8 PB/s of aggregate memory bandwidth, plus 393 GB of on-chip Vmem SRAM. Google publishes no pod-level compute figure; the total is chip count times its published per-chip peak, the same convention its own v4 and Ironwood pod figures confirm. FP4 is the only precision stated and no sparse figure exists. Announced at Google Cloud Next in April 2026 and not yet generally available.
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System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 10.3 EFLOPS | 10,100 TFLOPS | — |
Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.
Powered by Google TPU 8i
This system utilizes 1024 × Google TPU 8i GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
—
Per GPU Memory
288 GB
Process Node
—
Architecture
TPU 8
Documentation & Resources
Flopper Spec Sheet
Google TPU 8i Pod specifications, generated from our database. Printable.
Vendor product page
Google TPU 8i Pod documentation
Cloud TPU v5p
Google • 2023-12-07
Typical Use Cases
The Google TPU 8i Pod runs 1024× TPU 8i GPUs over Boardfly topology, maximum seven-hop ICI network diameter, delivering 10.3 EFLOPS FP4 dense.