Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Blackwell Architecture
| Specification | NVIDIA RTX 5090 | NVIDIA GB200 |
|---|---|---|
| Architecture | Blackwell | Blackwell |
| Release Year | 2025 | 2024 |
| VRAM | 32 GB | 192 GB+83.3% |
| Memory Type | GDDR7 | HBM3e |
| Memory Bandwidth | 1792 GB/s | 8000 GB/s+77.6% |
| FP32 Performance | 125 TFLOPS+38.9% | 90 TFLOPS |
| FP16 Performance | 250 TFLOPS+38.9% | 180 TFLOPS |
| INT8 Performance | 1000 TOPS | 3600 TOPS+72.2% |
| Tensor Cores | 21760 | 18432 |
| CUDA Cores | 21760 | N/A |
| TDP | 575W | 1000W |
| Form Factor | Consumer | Superchip |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.55 | $3.75+85.3% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 38.9% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 38.9% faster
Integer performance for efficient model inference and deployment
NVIDIA GB200 is 72.2% faster
Data transfer speed between GPU and memory
NVIDIA GB200 is 77.6% faster
NVIDIA RTX 5090
NVIDIA GB200
NVIDIA RTX 5090
NVIDIA RTX 5090
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