Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Hopper Architecture
| Specification | NVIDIA RTX 5090 | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Blackwell | Hopper |
| Release Year | 2025 | 2022 |
| VRAM | 32 GB | 80 GB+60% |
| Memory Type | GDDR7 | HBM3 |
| Memory Bandwidth | 1792 GB/s | 3350 GB/s+46.5% |
| FP32 Performance | 125 TFLOPS+108.3% | 60 TFLOPS |
| FP16 Performance | 250 TFLOPS+108.3% | 120 TFLOPS |
| INT8 Performance | 1000 TOPS | 2400 TOPS+58.3% |
| Tensor Cores | 21760 | 16896 |
| CUDA Cores | 21760 | 16896 |
| TDP | 575W | 700W |
| Form Factor | Consumer | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.55 | $1.5+63.3% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 108.3% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 108.3% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 58.3% faster
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 46.5% faster
NVIDIA RTX 5090
NVIDIA H100 SXM
NVIDIA RTX 5090
NVIDIA RTX 5090
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