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

CDNA 3 Architecture
| Specification | NVIDIA H200 | AMD MI300X |
|---|---|---|
| Architecture | Hopper | CDNA 3 |
| Release Year | 2023 | 2023 |
| VRAM | 141 GB | 192 GB+26.6% |
| Memory Type | HBM3e | HBM3 |
| Memory Bandwidth | 4800 GB/s | 5300 GB/s+9.4% |
| FP32 Performance | 67 TFLOPS | 163 TFLOPS+58.9% |
| FP16 Performance | 134 TFLOPS | 326 TFLOPS+58.9% |
| INT8 Performance | 2680 TOPS+2.7% | 2610 TOPS |
| Tensor Cores | 16896 | N/A |
| CUDA Cores | 16896 | 19456 |
| TDP | 700W | 750W |
| Form Factor | SXM | OAM |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $2.25 | $2.5+10% |
Single-precision floating-point performance for general compute workloads
AMD MI300X is 58.9% faster
Half-precision performance optimized for deep learning training
AMD MI300X is 58.9% faster
Integer performance for efficient model inference and deployment
NVIDIA H200 is 2.7% faster
Data transfer speed between GPU and memory
AMD MI300X is 9.4% faster
AMD MI300X
AMD MI300X
NVIDIA H200
AMD MI300X

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