Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ada Lovelace Architecture
| Specification | NVIDIA RTX 5090 | NVIDIA RTX 4090 |
|---|---|---|
| Architecture | Blackwell | Ada Lovelace |
| Release Year | 2025 | 2022 |
| VRAM | 32 GB+33.3% | 24 GB |
| Memory Type | GDDR7 | GDDR6X |
| Memory Bandwidth | 1792 GB/s+77.8% | 1008 GB/s |
| FP32 Performance | 125 TFLOPS+51.3% | 82.6 TFLOPS |
| FP16 Performance | 250 TFLOPS+51.5% | 165 TFLOPS |
| INT8 Performance | 1000 TOPS+51.3% | 661 TOPS |
| Tensor Cores | 21760 | 16384 |
| CUDA Cores | 21760 | 16384 |
| TDP | 575W | 450W |
| Form Factor | Consumer | Consumer |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.55+52.8% | $0.36 |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 51.3% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 51.5% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 5090 is 51.3% faster
Data transfer speed between GPU and memory
NVIDIA RTX 5090 is 77.8% faster
NVIDIA RTX 5090
NVIDIA RTX 5090
NVIDIA RTX 4090
NVIDIA RTX 5090
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