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

CDNA 2 Architecture
| Specification | NVIDIA RTX 4090 | AMD MI250X |
|---|---|---|
| Architecture | Ada Lovelace | CDNA 2 |
| Release Year | 2022 | 2021 |
| VRAM | 24 GB | 128 GB+81.3% |
| Memory Type | GDDR6X | HBM2e |
| Memory Bandwidth | 1008 GB/s | 3277 GB/s+69.2% |
| FP32 Performance | 82.6 TFLOPS+72.4% | 47.9 TFLOPS |
| FP16 Performance | 165 TFLOPS+72.4% | 95.7 TFLOPS |
| INT8 Performance | 661 TOPS+72.6% | 383 TOPS |
| Tensor Cores | 16384 | N/A |
| CUDA Cores | 16384 | 14080 |
| TDP | 450W | 560W |
| Form Factor | Consumer | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.36 | $1.35+73.3% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4090 is 72.4% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 4090 is 72.4% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 4090 is 72.6% faster
Data transfer speed between GPU and memory
AMD MI250X is 69.2% faster
NVIDIA RTX 4090
AMD MI250X
NVIDIA RTX 4090
NVIDIA RTX 4090

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