Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Volta Architecture
Blackwell Architecture
| Specification | NVIDIA V100 | NVIDIA B200 |
|---|---|---|
| Architecture | Volta | Blackwell |
| Release Year | 2017 | 2024 |
| VRAM | 32 GB | 192 GB+83.3% |
| Memory Type | HBM2 | HBM3e |
| Memory Bandwidth | 900 GB/s | 8000 GB/s+88.8% |
| FP32 Performance | 15.7 TFLOPS | 90 TFLOPS+82.6% |
| FP16 Performance | 31.4 TFLOPS | 180 TFLOPS+82.6% |
| INT8 Performance | 125 TOPS | 3600 TOPS+96.5% |
| Tensor Cores | 5120 | 18432 |
| CUDA Cores | 5120 | N/A |
| TDP | 300W | 1000W |
| Form Factor | PCIe | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $0.55 | $3.4+83.8% |
Single-precision floating-point performance for general compute workloads
NVIDIA B200 is 82.6% faster
Half-precision performance optimized for deep learning training
NVIDIA B200 is 82.6% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 96.5% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 88.8% faster
NVIDIA B200
NVIDIA B200
NVIDIA V100
NVIDIA B200
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