Google TPU v6e Pod
A full TPU v6e (Trillium) pod is 256 chips in a 2D torus, the largest slice being a 16x16 topology across 64 VMs. Per chip Google publishes 918 TFLOPS bf16 and 1,836 TOPS int8, giving 235.0 PFLOPS and 470.0 POPS across the pod: a 4.7x per-chip gain over v5e at the same pod size. Memory is 256 x 32 GB HBM at 1,638 GBps per chip, with 800 GBps of bidirectional inter-chip interconnect per chip. v6e is the first generation to widen the matrix unit to 256x256 multiply-accumulators, from 128x128 on every prior TPU. Google publishes no pod-level compute or power figure; the compute above is chip count times published per-chip peak. No sparse figures are published, so all figures are dense.
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System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 235 PFLOPS | 918 TFLOPS | — | |
| 470 POPS | 1,836 TOPS | — |
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 v6e
This system utilizes 256 × Google TPU v6e 32GB GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
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Per GPU Memory
32 GB
Process Node
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Architecture
TPU
Frequently asked questions
How much does the TPU v6e Pod cost?
Google sells the TPU v6e Pod on quote through OEMs and resellers, and Flopper has no live rental listing for its TPU v6e accelerator to derive an hourly figure from. System rental pricing →
How much power does the TPU v6e Pod require?
Google has not published a power figure for the TPU v6e Pod, and Flopper does not derive one from the accelerator count because the rest of the system draws power too.
How many GPUs are in the TPU v6e Pod?
256. The TPU v6e Pod carries 256 Google TPU v6e 32GB accelerators in a pod form factor, and every throughput figure on this page is the total across them. TPU v6e specifications →
Documentation & Resources
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Flopper Spec Sheet
Google TPU v6e Pod specifications, generated from our database. Printable.
Vendor product page
Google TPU v6e Pod documentation
Cloud TPU v5p
Google • 2023-12-07
Typical Use Cases
The Google TPU v6e Pod runs 256× TPU v6e GPUs over 2D torus ICI, 800 GBps bidirectional per chip, delivering 235 PFLOPS BF16 dense.