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

CDNA 2 Architecture
| Specification | NVIDIA RTX 5090 | AMD MI250X |
|---|---|---|
| Architecture | Blackwell | CDNA 2 |
| Release Year | 2025 | 2021 |
| VRAM | 32 GB | 128 GB+75% |
| Memory Type | GDDR7 | HBM2e |
| Memory Bandwidth | 1792 GB/s | 3277 GB/s+45.3% |
| FP32 Performance | 125 TFLOPS+161.0% | 47.9 TFLOPS |
| FP16 Performance | 250 TFLOPS+161.2% | 95.7 TFLOPS |
| INT8 Performance | 1000 TOPS+161.1% | 383 TOPS |
| Tensor Cores | 21760 | N/A |
| CUDA Cores | 21760 | 14080 |
| TDP | 575W | 560W |
| Form Factor | Consumer | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.55 | $1.35+59.3% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 161% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 161.2% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 5090 is 161.1% faster
Data transfer speed between GPU and memory
AMD MI250X is 45.3% faster
NVIDIA RTX 5090
AMD MI250X
NVIDIA RTX 5090
NVIDIA RTX 5090

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