Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ampere Architecture
| Specification | NVIDIA RTX 5090 | NVIDIA RTX 3090 |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Release Year | 2025 | 2020 |
| VRAM | 32 GB+33.3% | 24 GB |
| Memory Type | GDDR7 | GDDR6X |
| Memory Bandwidth | 1792 GB/s+91.5% | 936 GB/s |
| FP32 Performance | 125 TFLOPS+251.1% | 35.6 TFLOPS |
| FP16 Performance | 250 TFLOPS+252.1% | 71 TFLOPS |
| INT8 Performance | 1000 TOPS+252.1% | 284 TOPS |
| Tensor Cores | 21760 | 10496 |
| CUDA Cores | 21760 | 10496 |
| TDP | 575W | 350W |
| Form Factor | Consumer | Consumer |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.55+150.0% | $0.22 |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 251.1% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 252.1% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 5090 is 252.1% faster
Data transfer speed between GPU and memory
NVIDIA RTX 5090 is 91.5% faster
NVIDIA RTX 5090
NVIDIA RTX 5090
NVIDIA RTX 3090
NVIDIA RTX 5090
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