Google TPU v5e Pod
A full TPU v5e pod is 256 chips in a 2D torus. Per chip Google publishes 197 TFLOPS bf16 and 393 TOPS int8, giving 50.4 PFLOPS and 100.6 POPS across the pod. Memory is 256 x 16 GB HBM at 800 GiBps per chip, with 400 GBps of bidirectional inter-chip interconnect per chip. v5e is Google's cost-and-efficiency oriented generation, which is why its pod is a thirty-fifth the size of the v5p pod launched alongside it. Google publishes no pod-level compute or power figure; the compute above is chip count times published per-chip peak, the convention Google's own published v4 and Ironwood pod figures both confirm. 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 |
|---|---|---|---|
| 50.4 PFLOPS | 197 TFLOPS | — | |
| 101 POPS | 393 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 v5e
This system utilizes 256 × Google TPU v5e 16GB GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
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Per GPU Memory
16 GB
Process Node
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Architecture
TPU
Documentation & Resources
Flopper Spec Sheet
Google TPU v5e Pod specifications, generated from our database. Printable.
Vendor product page
Google TPU v5e Pod documentation
Cloud TPU v5p
Google • 2023-12-07
Typical Use Cases
The Google TPU v5e Pod runs 256× TPU v5e GPUs over 2D torus ICI, 400 GBps bidirectional per chip, delivering 50.4 PFLOPS BF16 dense.