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

CDNA 2 Architecture
| Specification | NVIDIA RTX 4090 | AMD MI210 |
|---|---|---|
| Architecture | Ada Lovelace | CDNA 2 |
| Release Year | 2022 | 2021 |
| VRAM | 24 GB | 64 GB+62.5% |
| Memory Type | GDDR6X | HBM2e |
| Memory Bandwidth | 1008 GB/s | 1638 GB/s+38.5% |
| FP32 Performance | 82.6 TFLOPS+245.6% | 23.9 TFLOPS |
| FP16 Performance | 165 TFLOPS+244.5% | 47.9 TFLOPS |
| INT8 Performance | 661 TOPS+244.3% | 192 TOPS |
| Tensor Cores | 16384 | N/A |
| CUDA Cores | 16384 | 6656 |
| TDP | 450W | 300W |
| Form Factor | Consumer | PCIe |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.36 | $0.82+56.1% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4090 is 245.6% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 4090 is 244.5% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 4090 is 244.3% faster
Data transfer speed between GPU and memory
AMD MI210 is 38.5% faster
NVIDIA RTX 4090
AMD MI210
NVIDIA RTX 4090
NVIDIA RTX 4090

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