Chip comparison
Google TPU v5e vs NVIDIA H100 Tensor Core GPU
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | Google TPU v5e | NVIDIA H100 Tensor Core GPU |
|---|---|---|
| Process node | — | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 170 W | 700 W |
| Memory | 16 GB HBM2 | 80 GB HBM3 |
| Memory bandwidth | 819 GB/s | 3,350 GB/s |
| FP16 (dense) | — | 989 TFLOPS |
| BF16 (dense) | 197 TFLOPS | 989 TFLOPS |
| FP8 (dense) | — | 1,979 TFLOPS |
| INT8 (dense) | 393 TOPS | 1,979 TOPS |
| Launch price (list) | — | $30,000 |
| Form factor | OAM (v5e pod, up to 256 chips) | SXM5 |
| Announced | 2023-08-29 | 2022-03-22 |
| Released | 2023-11-01 | 2022-10-13 |
Robots running Google TPU v5e
No robots publicly running it yet.
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Data centers with Google TPU v5e
Common questions
Google TPU v5e vs NVIDIA H100 Tensor Core GPU: which is faster for training?
NVIDIA H100 Tensor Core GPU has 10.05x the dense FP16/BF16 throughput of the other (Google TPU v5e: 197 TFLOPS; NVIDIA H100 Tensor Core GPU: 1,979 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Google TPU v5e vs NVIDIA H100 Tensor Core GPU: which has more memory?
NVIDIA H100 Tensor Core GPU carries more HBM (Google TPU v5e: 16 GB HBM2; NVIDIA H100 Tensor Core GPU: 80 GB HBM3). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v5e vs NVIDIA H100 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v5e 1.16 (197 ÷ 170 W); NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W). NVIDIA H100 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v5e vs NVIDIA H100 Tensor Core GPU: which is more widely used?
Google TPU v5e: 0 robots and 1 data center publicly running it. NVIDIA H100 Tensor Core GPU: 0 robots and 7 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v5e full page · NVIDIA H100 Tensor Core GPU full page.