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

CDNA 2 Architecture
| Specification | NVIDIA A100 PCIe | AMD MI250X |
|---|---|---|
| Architecture | Ampere | CDNA 2 |
| Release Year | 2020 | 2021 |
| VRAM | 80 GB | 128 GB+37.5% |
| Memory Type | HBM2e | HBM2e |
| Memory Bandwidth | 1935 GB/s | 3277 GB/s+41% |
| FP32 Performance | 19.5 TFLOPS | 47.9 TFLOPS+59.3% |
| FP16 Performance | 78 TFLOPS | 95.7 TFLOPS+18.5% |
| INT8 Performance | 624 TOPS+62.9% | 383 TOPS |
| Tensor Cores | 6912 | N/A |
| CUDA Cores | 6912 | 14080 |
| TDP | 300W | 560W |
| Form Factor | PCIe | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.98 | $1.35+27.4% |
Single-precision floating-point performance for general compute workloads
AMD MI250X is 59.3% faster
Half-precision performance optimized for deep learning training
AMD MI250X is 18.5% faster
Integer performance for efficient model inference and deployment
NVIDIA A100 PCIe is 62.9% faster
Data transfer speed between GPU and memory
AMD MI250X is 41% faster
AMD MI250X
AMD MI250X
NVIDIA A100 PCIe
AMD MI250X

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