NVIDIA RTX 5090vsNVIDIA GB300
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA RTX 5090
Blackwell Architecture
NVIDIA GB300
Blackwell Architecture
Detailed Specifications
| Specification | NVIDIA RTX 5090 | NVIDIA GB300 |
|---|---|---|
| Architecture | Blackwell | Blackwell |
| Release Year | 2025 | 2025 |
| VRAM | 32 GB | 256 GB+87.5% |
| Memory Type | GDDR7 | HBM3e |
| Memory Bandwidth | 1792 GB/s | 10000 GB/s+82.1% |
| FP32 Performance | 125 TFLOPS+4.2% | 120 TFLOPS |
| FP16 Performance | 250 TFLOPS+4.2% | 240 TFLOPS |
| INT8 Performance | 1000 TOPS | 4800 TOPS+79.2% |
| Tensor Cores | 21760 | 20480 |
| CUDA Cores | 21760 | N/A |
| TDP | 575W | 1200W |
| Form Factor | Consumer | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.55 | $4.25+87.1% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 4.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 4.2% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 79.2% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 82.1% faster
NVIDIA RTX 5090
NVIDIA GB300
NVIDIA RTX 5090
NVIDIA RTX 5090
Ideal Workloads
NVIDIA RTX 5090
NVIDIA GB300
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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