Chip comparison
NVIDIA H100 Tensor Core GPU vs Tenstorrent Wormhole
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 | NVIDIA H100 Tensor Core GPU | Tenstorrent Wormhole |
|---|---|---|
| Process node | TSMC 4N | GlobalFoundries 12nm |
| Transistors (B) | 80 | — |
| Die size | 814 mm² | — |
| TDP | 700 W | 160 W |
| Memory | 80 GB HBM3 | 12 GB GDDR6 |
| Memory bandwidth | 3,350 GB/s | 288 GB/s |
| FP16 (dense) | 989 TFLOPS | 148 TFLOPS |
| BF16 (dense) | 989 TFLOPS | — |
| FP8 (dense) | 1,979 TFLOPS | — |
| INT8 (dense) | 1,979 TOPS | 590 TOPS |
| Launch price (list) | $30,000 | — |
| Form factor | SXM5 | PCIe (n300, n150) |
| Announced | 2022-03-22 | 2024-07-01 |
| Released | 2022-10-13 | 2024-08-01 |
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Robots running Tenstorrent Wormhole
No robots publicly running it yet.
Data centers with NVIDIA H100 Tensor Core GPU
Data centers with Tenstorrent Wormhole
No data centers publicly running it yet.
Common questions
NVIDIA H100 Tensor Core GPU vs Tenstorrent Wormhole: which is faster for training?
NVIDIA H100 Tensor Core GPU has 13.37x the dense FP16/BF16 throughput of the other (NVIDIA H100 Tensor Core GPU: 1,979 TFLOPS; Tenstorrent Wormhole: 148 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
NVIDIA H100 Tensor Core GPU vs Tenstorrent Wormhole: which has more memory?
NVIDIA H100 Tensor Core GPU carries more HBM (NVIDIA H100 Tensor Core GPU: 80 GB HBM3; Tenstorrent Wormhole: 12 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA H100 Tensor Core GPU vs Tenstorrent Wormhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W); Tenstorrent Wormhole 0.93 (148 ÷ 160 W). NVIDIA H100 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA H100 Tensor Core GPU vs Tenstorrent Wormhole: which is more widely used?
NVIDIA H100 Tensor Core GPU: 0 robots and 7 data centers publicly running it. Tenstorrent Wormhole: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA H100 Tensor Core GPU full page · Tenstorrent Wormhole full page.