Google TPU 8t Superpod
Google's eighth-generation training superpod: 9,600 TPU 8t chips on a 3D torus, with 47 petabits per second of non-blocking bisectional bandwidth, and a Virgo network able to link over 134,000 chips across superpods. At Google's published 12.6 PFLOPS of FP4 per chip that is 120.96 EFLOPS across the pod, with 2.07 PB of HBM3e and 62.7 PB/s of aggregate memory bandwidth. Google publishes no pod-level compute figure for this generation; the total here is chip count times its published per-chip peak, which is Google's own arithmetic — on the two generations where it publishes both, v4 and Ironwood, the pod figure equals exactly that product. FP4 is the only precision Google states, and it publishes no sparse figure for any TPU, so this is dense. 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 |
|---|---|---|---|
| 121 EFLOPS | 12,600 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 8t
This system utilizes 9600 × Google TPU 8t GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
—
Per GPU Memory
216 GB
Process Node
—
Architecture
TPU 8
Documentation & Resources
Flopper Spec Sheet
Google TPU 8t Superpod specifications, generated from our database. Printable.
Vendor product page
Google TPU 8t Superpod documentation
Cloud TPU v5p
Google • 2023-12-07
Typical Use Cases
The Google TPU 8t Superpod runs 9600× TPU 8t GPUs over 3D torus ICI with 47 Pb/s non-blocking bisectional bandwidth; Virgo network links over 134,000 chips, delivering 121 EFLOPS FP4 dense.