Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ampere Architecture
| Specification | NVIDIA RTX 5090 | NVIDIA RTX A6000 |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Release Year | 2025 | 2020 |
| VRAM | 32 GB | 48 GB+33.3% |
| Memory Type | GDDR7 | GDDR6 |
| Memory Bandwidth | 1792 GB/s+133.3% | 768 GB/s |
| FP32 Performance | 125 TFLOPS+223.0% | 38.7 TFLOPS |
| FP16 Performance | 250 TFLOPS+223.0% | 77.4 TFLOPS |
| INT8 Performance | 1000 TOPS+222.6% | 310 TOPS |
| Tensor Cores | 21760 | 10752 |
| CUDA Cores | 21760 | 10752 |
| TDP | 575W | 300W |
| Form Factor | Consumer | PCIe |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.55 | $0.7+21.4% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 223% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 223% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 5090 is 222.6% faster
Data transfer speed between GPU and memory
NVIDIA RTX 5090 is 133.3% faster
NVIDIA RTX 5090
NVIDIA RTX A6000
NVIDIA RTX 5090
NVIDIA RTX 5090
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