Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ada Lovelace Architecture
| Specification | NVIDIA GB300 | NVIDIA RTX 4070 Ti |
|---|---|---|
| Architecture | Blackwell | Ada Lovelace |
| Release Year | 2025 | 2023 |
| VRAM | 256 GB+2033.3% | 12 GB |
| Memory Type | HBM3e | GDDR6X |
| Memory Bandwidth | 10000 GB/s+1884.1% | 504 GB/s |
| FP32 Performance | 120 TFLOPS+199.3% | 40.1 TFLOPS |
| FP16 Performance | 240 TFLOPS+199.3% | 80.2 TFLOPS |
| INT8 Performance | 4800 TOPS+1395.3% | 321 TOPS |
| Tensor Cores | 20480 | 7680 |
| CUDA Cores | N/A | 7680 |
| TDP | 1200W | 285W |
| Form Factor | SXM | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $4.25+1417.9% | $0.28 |
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 199.3% faster
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 199.3% faster
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 1395.3% faster
Data transfer speed between GPU and memory
NVIDIA GB300 is 1884.1% faster
NVIDIA GB300
NVIDIA GB300
NVIDIA RTX 4070 Ti
NVIDIA RTX 4070 Ti
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