Chip comparison
NVIDIA V100 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 V100 Tensor Core GPU | Tenstorrent Wormhole |
|---|---|---|
| Process node | TSMC 12FFN | GlobalFoundries 12nm |
| Transistors (B) | 21.1 | — |
| Die size | 815 mm² | — |
| TDP | 300 W | 160 W |
| Memory | 32 GB HBM2 | 12 GB GDDR6 |
| Memory bandwidth | 900 GB/s | 288 GB/s |
| FP16 (dense) | 125 TFLOPS | 148 TFLOPS |
| INT8 (dense) | — | 590 TOPS |
| Form factor | SXM2 / PCIe | PCIe (n300, n150) |
| Announced | 2017-05-10 | 2024-07-01 |
| Released | 2017-12-01 | 2024-08-01 |
Robots running NVIDIA V100 Tensor Core GPU
No robots publicly running it yet.
Robots running Tenstorrent Wormhole
No robots publicly running it yet.
Data centers with NVIDIA V100 Tensor Core GPU
No data centers publicly running it yet.
Data centers with Tenstorrent Wormhole
No data centers publicly running it yet.
Common questions
NVIDIA V100 Tensor Core GPU vs Tenstorrent Wormhole: which is faster for training?
Tenstorrent Wormhole has 1.18x the dense FP16/BF16 throughput of the other (NVIDIA V100 Tensor Core GPU: 125 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 V100 Tensor Core GPU vs Tenstorrent Wormhole: which has more memory?
NVIDIA V100 Tensor Core GPU carries more HBM (NVIDIA V100 Tensor Core GPU: 32 GB HBM2; Tenstorrent Wormhole: 12 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
NVIDIA V100 Tensor Core GPU vs Tenstorrent Wormhole: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA V100 Tensor Core GPU 0.42 (125 ÷ 300 W); Tenstorrent Wormhole 0.93 (148 ÷ 160 W). Tenstorrent Wormhole wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · NVIDIA V100 Tensor Core GPU full page · Tenstorrent Wormhole full page.