NVIDIA RTX 3090vsNVIDIA GB300
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA RTX 3090
Ampere Architecture
NVIDIA GB300
Blackwell Architecture
Detailed Specifications
| Specification | NVIDIA RTX 3090 | NVIDIA GB300 |
|---|---|---|
| Architecture | Ampere | Blackwell |
| Release Year | 2020 | 2025 |
| VRAM | 24 GB | 256 GB+90.6% |
| Memory Type | GDDR6X | HBM3e |
| Memory Bandwidth | 936 GB/s | 10000 GB/s+90.6% |
| FP32 Performance | 35.6 TFLOPS | 120 TFLOPS+70.3% |
| FP16 Performance | 71 TFLOPS | 240 TFLOPS+70.4% |
| INT8 Performance | 284 TOPS | 4800 TOPS+94.1% |
| Tensor Cores | 10496 | 20480 |
| CUDA Cores | 10496 | N/A |
| TDP | 350W | 1200W |
| Form Factor | Consumer | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $0.22 | $4.25+94.8% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 70.3% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 70.4% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 94.1% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 90.6% faster
NVIDIA GB300
NVIDIA GB300
NVIDIA RTX 3090
NVIDIA RTX 3090
Ideal Workloads
NVIDIA RTX 3090
NVIDIA GB300
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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