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

CDNA 3 Architecture
Hopper Architecture
| Specification | AMD MI300X | NVIDIA H100 SXM |
|---|---|---|
| Architecture | CDNA 3 | Hopper |
| Release Year | 2023 | 2022 |
| VRAM | 192 GB+140.0% | 80 GB |
| Memory Type | HBM3 | HBM3 |
| Memory Bandwidth | 5300 GB/s+58.2% | 3350 GB/s |
| FP32 Performance | 163 TFLOPS+171.7% | 60 TFLOPS |
| FP16 Performance | 326 TFLOPS+171.7% | 120 TFLOPS |
| INT8 Performance | 2610 TOPS+8.8% | 2400 TOPS |
| Tensor Cores | N/A | 16896 |
| CUDA Cores | 19456 | 16896 |
| TDP | 750W | 700W |
| Form Factor | OAM | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $2.5+66.7% | $1.5 |
Single-precision floating-point performance for general compute workloads
AMD MI300X is 171.7% faster
Half-precision performance optimized for deep learning training
AMD MI300X is 171.7% faster
Integer performance for efficient model inference and deployment
AMD MI300X is 8.8% faster
Data transfer speed between GPU and memory
AMD MI300X is 58.2% faster
AMD MI300X
AMD MI300X
NVIDIA H100 SXM
AMD MI300X

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