Chip comparison
AMD Instinct MI350 series 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 MI350 series | NVIDIA H100 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N3 (chiplet) | TSMC 4N |
| Transistors (B) | — | 80 |
| Die size | — | 814 mm² |
| TDP | 1000 W | 700 W |
| Memory | 288 GB HBM3e | 80 GB HBM3 |
| Memory bandwidth | 8,000 GB/s | 3,350 GB/s |
| FP16 (dense) | 2,300 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 2,300 TFLOPS | 989 TFLOPS |
| FP8 (dense) | 4,600 TFLOPS | 1,979 TFLOPS |
| INT8 (dense) | 4,600 TOPS | 1,979 TOPS |
| Launch price (list) | — | $30,000 |
| Form factor | OAM | SXM5 |
| Announced | 2025-06-12 | 2022-03-22 |
| Released | 2025-10-01 | 2022-10-13 |
Robots running AMD Instinct MI350 series
No robots publicly running it yet.
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Data centers with AMD Instinct MI350 series
Common questions
AMD Instinct MI350 series vs NVIDIA H100 Tensor Core GPU: which is faster for training?
AMD Instinct MI350 series has 2.32x the dense FP8 throughput of the other (AMD Instinct MI350 series: 4,600 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 MI350 series vs NVIDIA H100 Tensor Core GPU: which has more memory?
AMD Instinct MI350 series carries more HBM (AMD Instinct MI350 series: 288 GB HBM3e; 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 MI350 series vs NVIDIA H100 Tensor Core GPU: which is more power-efficient?
Dense FP8 TFLOPS per watt: AMD Instinct MI350 series 4.60 (4,600 ÷ 1000 W); NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W). AMD Instinct MI350 series wins at the die level; system-level efficiency also depends on cooling and interconnect.
AMD Instinct MI350 series vs NVIDIA H100 Tensor Core GPU: which is more widely used?
AMD Instinct MI350 series: 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 · AMD Instinct MI350 series full page · NVIDIA H100 Tensor Core GPU full page.