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

CDNA 3 Architecture
| Specification | NVIDIA B200 | AMD MI300X |
|---|---|---|
| Architecture | Blackwell | CDNA 3 |
| Release Year | 2024 | 2023 |
| VRAM | 192 GB | 192 GB |
| Memory Type | HBM3e | HBM3 |
| Memory Bandwidth | 8000 GB/s+50.9% | 5300 GB/s |
| FP32 Performance | 90 TFLOPS | 163 TFLOPS+44.8% |
| FP16 Performance | 180 TFLOPS | 326 TFLOPS+44.8% |
| INT8 Performance | 3600 TOPS+37.9% | 2610 TOPS |
| Tensor Cores | 18432 | N/A |
| CUDA Cores | N/A | 19456 |
| TDP | 1000W | 750W |
| Form Factor | SXM | OAM |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $3.4+36.0% | $2.5 |
Single-precision floating-point performance for general compute workloads
AMD MI300X is 44.8% faster
Half-precision performance optimized for deep learning training
AMD MI300X is 44.8% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 37.9% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 50.9% faster
AMD MI300X
AMD MI300X
AMD MI300X
AMD MI300X

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