Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Hopper Architecture
Blackwell Architecture
| Specification | NVIDIA H200 | NVIDIA RTX 5090 |
|---|---|---|
| Architecture | Hopper | Blackwell |
| Release Year | 2023 | 2025 |
| VRAM | 141 GB+340.6% | 32 GB |
| Memory Type | HBM3e | GDDR7 |
| Memory Bandwidth | 4800 GB/s+167.9% | 1792 GB/s |
| FP32 Performance | 67 TFLOPS | 125 TFLOPS+46.4% |
| FP16 Performance | 134 TFLOPS | 250 TFLOPS+46.4% |
| INT8 Performance | 2680 TOPS+168.0% | 1000 TOPS |
| Tensor Cores | 16896 | 21760 |
| CUDA Cores | 16896 | 21760 |
| TDP | 700W | 575W |
| Form Factor | SXM | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $2.25+309.1% | $0.55 |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 46.4% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 46.4% faster
Integer performance for efficient model inference and deployment
NVIDIA H200 is 168% faster
Data transfer speed between GPU and memory
NVIDIA H200 is 167.9% faster
NVIDIA RTX 5090
NVIDIA H200
NVIDIA RTX 5090
NVIDIA RTX 5090
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