Chip comparison
AMD Instinct MI250X 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 | AMD Instinct MI250X | NVIDIA H100 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N6 | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 560 W | 700 W |
| Memory | 128 GB HBM2e | 80 GB HBM3 |
| Memory bandwidth | 3,200 GB/s | 3,350 GB/s |
| FP16 (dense) | 383 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 383 TFLOPS | 989 TFLOPS |
| FP8 (dense) | — | 1,979 TFLOPS |
| INT8 (dense) | 383 TOPS | 1,979 TOPS |
| Launch price (list) | — | $30,000 |
| Form factor | OAM | SXM5 |
| Announced | 2021-11-08 | 2022-03-22 |
| Released | 2022-06-01 | 2022-10-13 |
Robots running AMD Instinct MI250X
No robots publicly running it yet.
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Data centers with AMD Instinct MI250X
No data centers publicly running it yet.
Common questions
AMD Instinct MI250X vs NVIDIA H100 Tensor Core GPU: which is faster for training?
NVIDIA H100 Tensor Core GPU has 5.17x the dense FP16/BF16 throughput of the other (AMD Instinct MI250X: 383 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.
AMD Instinct MI250X vs NVIDIA H100 Tensor Core GPU: which has more memory?
AMD Instinct MI250X carries more HBM (AMD Instinct MI250X: 128 GB HBM2e; 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.
AMD Instinct MI250X vs NVIDIA H100 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI250X 0.68 (383 ÷ 560 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.
AMD Instinct MI250X vs NVIDIA H100 Tensor Core GPU: which is more widely used?
AMD Instinct MI250X: 0 robots and 0 data centers 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 · AMD Instinct MI250X full page · NVIDIA H100 Tensor Core GPU full page.