Comprehensive comparison for AI, machine learning, and high-performance computing workloads.

CDNA 3 Architecture
Blackwell Architecture
| Specification | AMD MI300X | NVIDIA B200 |
|---|---|---|
| Architecture | CDNA 3 | Blackwell |
| Release Year | 2023 | 2024 |
| VRAM | 192 GB | 192 GB |
| Memory Type | HBM3 | HBM3e |
| Memory Bandwidth | 5300 GB/s | 8000 GB/s+33.8% |
| FP32 Performance | 163 TFLOPS+81.1% | 90 TFLOPS |
| FP16 Performance | 326 TFLOPS+81.1% | 180 TFLOPS |
| INT8 Performance | 2610 TOPS | 3600 TOPS+27.5% |
| Tensor Cores | N/A | 18432 |
| CUDA Cores | 19456 | N/A |
| TDP | 750W | 1000W |
| Form Factor | OAM | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $2.5 | $3.4+26.5% |
Single-precision floating-point performance for general compute workloads
AMD MI300X is 81.1% faster
Half-precision performance optimized for deep learning training
AMD MI300X is 81.1% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 27.5% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 33.8% faster
AMD MI300X
NVIDIA B200
AMD MI300X
AMD MI300X

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