Chip comparison
AMD Instinct MI300X vs NVIDIA A100 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 A100 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N5 + N6 (chiplet) | TSMC N7 |
| Transistors (B) | 153 | 54 |
| Die size | — | 826 mm² |
| TDP | 750 W | 400 W |
| Memory | 192 GB HBM3 | 80 GB HBM2e |
| Memory bandwidth | 5,300 GB/s | 2,039 GB/s |
| FP16 (dense) | 1,307 TFLOPS | 312 TFLOPS |
| BF16 (dense) | 1,307 TFLOPS | 312 TFLOPS |
| FP8 (dense) | 2,614 TFLOPS | — |
| INT8 (dense) | 2,614 TOPS | 624 TOPS |
| Launch price (list) | $15,000 | $10,000 |
| Form factor | OAM | SXM4 |
| Announced | 2023-12-06 | 2020-05-14 |
| Released | 2024-01-01 | 2020-05-14 |
Robots running AMD Instinct MI300X
No robots publicly running it yet.
Robots running NVIDIA A100 Tensor Core GPU
No robots publicly running it yet.
Data centers with AMD Instinct MI300X
No data centers publicly running it yet.
Data centers with NVIDIA A100 Tensor Core GPU
No data centers publicly running it yet.
Common questions
AMD Instinct MI300X vs NVIDIA A100 Tensor Core GPU: which is faster for training?
AMD Instinct MI300X has 8.38x the dense FP16/BF16 throughput of the other (AMD Instinct MI300X: 2,614 TFLOPS; NVIDIA A100 Tensor Core GPU: 312 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 A100 Tensor Core GPU: which has more memory?
AMD Instinct MI300X carries more HBM (AMD Instinct MI300X: 192 GB HBM3; NVIDIA A100 Tensor Core GPU: 80 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AMD Instinct MI300X vs NVIDIA A100 Tensor Core GPU: which is cheaper?
Launch list price: AMD Instinct MI300X $15,000; NVIDIA A100 Tensor Core GPU $10,000. NVIDIA A100 Tensor Core GPU lists lower. Street prices vary with supply and generation age.
AMD Instinct MI300X vs NVIDIA A100 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI300X 3.49 (2,614 ÷ 750 W); NVIDIA A100 Tensor Core GPU 0.78 (312 ÷ 400 W). AMD Instinct MI300X wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AMD Instinct MI300X full page · NVIDIA A100 Tensor Core GPU full page.