Chip comparison
AMD Instinct MI300X 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 MI300X | NVIDIA H100 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N5 + N6 (chiplet) | TSMC 4N |
| Transistors (B) | 153 | 80 |
| Die size | — | 814 mm² |
| TDP | 750 W | 700 W |
| Memory | 192 GB HBM3 | 80 GB HBM3 |
| Memory bandwidth | 5,300 GB/s | 3,350 GB/s |
| FP16 (dense) | 1,307 TFLOPS | 989 TFLOPS |
| BF16 (dense) | 1,307 TFLOPS | 989 TFLOPS |
| FP8 (dense) | 2,614 TFLOPS | 1,979 TFLOPS |
| INT8 (dense) | 2,614 TOPS | 1,979 TOPS |
| Launch price (list) | $15,000 | $30,000 |
| Form factor | OAM | SXM5 |
| Announced | 2023-12-06 | 2022-03-22 |
| Released | 2024-01-01 | 2022-10-13 |
Robots running AMD Instinct MI300X
No robots publicly running it yet.
Robots running NVIDIA H100 Tensor Core GPU
No robots publicly running it yet.
Data centers with AMD Instinct MI300X
No data centers publicly running it yet.
Common questions
AMD Instinct MI300X vs NVIDIA H100 Tensor Core GPU: which is faster for training?
AMD Instinct MI300X has 1.32x the dense FP8 throughput of the other (AMD Instinct MI300X: 2,614 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 MI300X vs NVIDIA H100 Tensor Core GPU: which has more memory?
AMD Instinct MI300X carries more HBM (AMD Instinct MI300X: 192 GB HBM3; 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 MI300X vs NVIDIA H100 Tensor Core GPU: which is cheaper?
Launch list price: AMD Instinct MI300X $15,000; NVIDIA H100 Tensor Core GPU $30,000. AMD Instinct MI300X lists lower. Street prices vary with supply and generation age.
AMD Instinct MI300X vs NVIDIA H100 Tensor Core GPU: which is more power-efficient?
Dense FP8 TFLOPS per watt: AMD Instinct MI300X 3.49 (2,614 ÷ 750 W); NVIDIA H100 Tensor Core GPU 2.83 (1,979 ÷ 700 W). AMD Instinct MI300X wins at the die level; system-level efficiency also depends on cooling and interconnect.
AMD Instinct MI300X vs NVIDIA H100 Tensor Core GPU: which is more widely used?
AMD Instinct MI300X: 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 MI300X full page · NVIDIA H100 Tensor Core GPU full page.