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

CDNA 2 Architecture
Hopper Architecture
| Specification | AMD MI210 | NVIDIA H100 SXM |
|---|---|---|
| Architecture | CDNA 2 | Hopper |
| Release Year | 2021 | 2022 |
| VRAM | 64 GB | 80 GB+20% |
| Memory Type | HBM2e | HBM3 |
| Memory Bandwidth | 1638 GB/s | 3350 GB/s+51.1% |
| FP32 Performance | 23.9 TFLOPS | 60 TFLOPS+60.2% |
| FP16 Performance | 47.9 TFLOPS | 120 TFLOPS+60.1% |
| INT8 Performance | 192 TOPS | 2400 TOPS+92% |
| Tensor Cores | N/A | 16896 |
| CUDA Cores | 6656 | 16896 |
| TDP | 300W | 700W |
| Form Factor | PCIe | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.82 | $1.5+45.3% |
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 60.2% faster
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 60.1% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 92% faster
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 51.1% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
AMD MI210
NVIDIA H100 SXM

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