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

CDNA 3 Architecture
| Specification | NVIDIA RTX 5090 | AMD MI300X |
|---|---|---|
| Architecture | Blackwell | CDNA 3 |
| Release Year | 2025 | 2023 |
| VRAM | 32 GB | 192 GB+83.3% |
| Memory Type | GDDR7 | HBM3 |
| Memory Bandwidth | 1792 GB/s | 5300 GB/s+66.2% |
| FP32 Performance | 125 TFLOPS | 163 TFLOPS+23.3% |
| FP16 Performance | 250 TFLOPS | 326 TFLOPS+23.3% |
| INT8 Performance | 1000 TOPS | 2610 TOPS+61.7% |
| Tensor Cores | 21760 | N/A |
| CUDA Cores | 21760 | 19456 |
| TDP | 575W | 750W |
| Form Factor | Consumer | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.55 | $2.5+78% |
Single-precision floating-point performance for general compute workloads
AMD MI300X is 23.3% faster
Half-precision performance optimized for deep learning training
AMD MI300X is 23.3% faster
Integer performance for efficient model inference and deployment
AMD MI300X is 61.7% faster
Data transfer speed between GPU and memory
AMD MI300X is 66.2% faster
AMD MI300X
AMD MI300X
NVIDIA RTX 5090
NVIDIA RTX 5090

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