Google TPU7x (Ironwood) Pod
A full TPU7x (Ironwood) pod is 9,216 chips in a 3D torus, the largest TPU pod Google has built. Per chip Google publishes 2,307 TFLOPS bf16 and 4,614 TFLOPS fp8, giving 21.26 EFLOPS and 42.52 EFLOPS across the pod; the fp8 total matches the 42.5 exaflops Google has stated publicly for an Ironwood pod, which independently confirms that chip count times per-chip peak is Google's own arithmetic. Memory is 9,216 x 192 GiB HBM at 7,380 GBps per chip, for 1.77 PB of HBM and 68 PB/s of aggregate memory bandwidth. Supported slice shapes go up to 8x16x16, or 2,048 chips, within the pod. No int8 figure is published. The table lists four SparseCores per chip; those are embedding-lookup dataflow processors, not weight sparsity. Google publishes no sparse figures and no pod-level power.
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System Details
GPU Configuration
System Specifications
Precision Performance Breakdown
| Precision | System Performance | Per GPU | Efficiency |
|---|---|---|---|
| 21.3 EFLOPS | 2,307 TFLOPS | — | |
| 42.5 EFLOPS | 4,614 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 v7
This system utilizes 9216 × Google TPU v7 192GB GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
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Per GPU Memory
192 GB
Process Node
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Architecture
TPU
Documentation & Resources
Flopper Spec Sheet
Google TPU7x (Ironwood) Pod specifications, generated from our database. Printable.
Vendor product page
Google TPU7x (Ironwood) Pod documentation
Cloud TPU v5p
Google • 2023-12-07
Typical Use Cases
The Google TPU7x (Ironwood) Pod runs 9216× TPU v7 GPUs over 3D torus ICI, 1,200 GBps bidirectional per chip, delivering 42.5 EFLOPS FP8 dense.