Chip comparison
NVIDIA H100 Tensor Core GPU vs Tenstorrent Blackhole
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 Blackhole |
|---|---|---|
| Process node | TSMC 4N | TSMC N6 |
| Transistors (B) | 80 | — |
| Die size | 814 mm² | — |
| TDP | 700 W | 300 W |
| Memory | 80 GB HBM3 | 32 GB GDDR6 |
| Memory bandwidth | 3,350 GB/s | 512 GB/s |
| FP16 (dense) | 989 TFLOPS | 745 TFLOPS |
| BF16 (dense) | 989 TFLOPS | — |
| FP8 (dense) | 1,979 TFLOPS | — |
| INT8 (dense) | 1,979 TOPS | 2,980 TOPS |
| Launch price (list) | $30,000 | — |
| Form factor | SXM5 | PCIe |
| Announced | 2022-03-22 | 2024-07-01 |
| Released | 2022-10-13 | 2025-01-01 |
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Robots running Tenstorrent Blackhole
No robots publicly running it yet.
Data centers with NVIDIA H100 Tensor Core GPU
Data centers with Tenstorrent Blackhole
No data centers publicly running it yet.
Common questions
NVIDIA H100 Tensor Core GPU vs Tenstorrent Blackhole: which is faster for training?
NVIDIA H100 Tensor Core GPU has 2.66x the dense FP16/BF16 throughput of the other (NVIDIA H100 Tensor Core GPU: 1,979 TFLOPS; Tenstorrent Blackhole: 745 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 Blackhole: which has more memory?
NVIDIA H100 Tensor Core GPU carries more HBM (NVIDIA H100 Tensor Core GPU: 80 GB HBM3; Tenstorrent Blackhole: 32 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 Blackhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W); Tenstorrent Blackhole 2.48 (745 ÷ 300 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 Blackhole: which is more widely used?
NVIDIA H100 Tensor Core GPU: 0 robots and 7 data centers publicly running it. Tenstorrent Blackhole: 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 Blackhole full page.