Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ampere Architecture
| Specification | NVIDIA RTX 5090 | NVIDIA A40 |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Release Year | 2025 | 2020 |
| VRAM | 32 GB | 48 GB+33.3% |
| Memory Type | GDDR7 | GDDR6 |
| Memory Bandwidth | 1792 GB/s+157.5% | 696 GB/s |
| FP32 Performance | 125 TFLOPS+234.2% | 37.4 TFLOPS |
| FP16 Performance | 250 TFLOPS+234.2% | 74.8 TFLOPS |
| INT8 Performance | 1000 TOPS+234.4% | 299 TOPS |
| Tensor Cores | 21760 | 10752 |
| CUDA Cores | 21760 | 10752 |
| TDP | 575W | 300W |
| Form Factor | Consumer | PCIe |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.55 | $0.75+26.7% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 234.2% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 234.2% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 5090 is 234.4% faster
Data transfer speed between GPU and memory
NVIDIA RTX 5090 is 157.5% faster
NVIDIA RTX 5090
NVIDIA A40
NVIDIA RTX 5090
NVIDIA RTX 5090
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