Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture
Blackwell Architecture
| Specification | NVIDIA RTX 4090 | NVIDIA GB300 |
|---|---|---|
| Architecture | Ada Lovelace | Blackwell |
| Release Year | 2022 | 2025 |
| VRAM | 24 GB | 256 GB+90.6% |
| Memory Type | GDDR6X | HBM3e |
| Memory Bandwidth | 1008 GB/s | 10000 GB/s+89.9% |
| FP32 Performance | 82.6 TFLOPS | 120 TFLOPS+31.2% |
| FP16 Performance | 165 TFLOPS | 240 TFLOPS+31.3% |
| INT8 Performance | 661 TOPS | 4800 TOPS+86.2% |
| Tensor Cores | 16384 | 20480 |
| CUDA Cores | 16384 | N/A |
| TDP | 450W | 1200W |
| Form Factor | Consumer | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.36 | $4.25+91.5% |
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 31.2% faster
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 31.3% faster
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 86.2% faster
Data transfer speed between GPU and memory
NVIDIA GB300 is 89.9% faster
NVIDIA GB300
NVIDIA GB300
NVIDIA RTX 4090
NVIDIA RTX 4090
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