Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture
Blackwell Architecture
| Specification | NVIDIA RTX 4080 | NVIDIA B200 |
|---|---|---|
| Architecture | Ada Lovelace | Blackwell |
| Release Year | 2022 | 2024 |
| VRAM | 16 GB | 192 GB+91.7% |
| Memory Type | GDDR6X | HBM3e |
| Memory Bandwidth | 736 GB/s | 8000 GB/s+90.8% |
| FP32 Performance | 48.7 TFLOPS | 90 TFLOPS+45.9% |
| FP16 Performance | 97.4 TFLOPS | 180 TFLOPS+45.9% |
| INT8 Performance | 390 TOPS | 3600 TOPS+89.2% |
| Tensor Cores | 9728 | 18432 |
| CUDA Cores | 9728 | N/A |
| TDP | 320W | 1000W |
| Form Factor | Consumer | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.35 | $3.4+89.7% |
Single-precision floating-point performance for general compute workloads
NVIDIA B200 is 45.9% faster
Half-precision performance optimized for deep learning training
NVIDIA B200 is 45.9% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 89.2% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 90.8% faster
NVIDIA B200
NVIDIA B200
NVIDIA RTX 4080
NVIDIA RTX 4080
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