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

CDNA 2 Architecture
| Specification | NVIDIA H100 PCIe | AMD MI250X |
|---|---|---|
| Architecture | Hopper | CDNA 2 |
| Release Year | 2022 | 2021 |
| VRAM | 80 GB | 128 GB+37.5% |
| Memory Type | HBM3 | HBM2e |
| Memory Bandwidth | 2000 GB/s | 3277 GB/s+39% |
| FP32 Performance | 51 TFLOPS+6.5% | 47.9 TFLOPS |
| FP16 Performance | 102 TFLOPS+6.6% | 95.7 TFLOPS |
| INT8 Performance | 2040 TOPS+432.6% | 383 TOPS |
| Tensor Cores | 14592 | N/A |
| CUDA Cores | 14592 | 14080 |
| TDP | 350W | 560W |
| Form Factor | PCIe | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $1.4+3.7% | $1.35 |
Single-precision floating-point performance for general compute workloads
NVIDIA H100 PCIe is 6.5% faster
Half-precision performance optimized for deep learning training
NVIDIA H100 PCIe is 6.6% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 PCIe is 432.6% faster
Data transfer speed between GPU and memory
AMD MI250X is 39% faster
NVIDIA H100 PCIe
AMD MI250X
AMD MI250X
NVIDIA H100 PCIe

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