Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Hopper Architecture
Blackwell Architecture
| Specification | NVIDIA H100 PCIe | NVIDIA B200 |
|---|---|---|
| Architecture | Hopper | Blackwell |
| Release Year | 2022 | 2024 |
| VRAM | 80 GB | 192 GB+58.3% |
| Memory Type | HBM3 | HBM3e |
| Memory Bandwidth | 2000 GB/s | 8000 GB/s+75% |
| FP32 Performance | 51 TFLOPS | 90 TFLOPS+43.3% |
| FP16 Performance | 102 TFLOPS | 180 TFLOPS+43.3% |
| INT8 Performance | 2040 TOPS | 3600 TOPS+43.3% |
| Tensor Cores | 14592 | 18432 |
| CUDA Cores | 14592 | N/A |
| TDP | 350W | 1000W |
| Form Factor | PCIe | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $1.4 | $3.4+58.8% |
Single-precision floating-point performance for general compute workloads
NVIDIA B200 is 43.3% faster
Half-precision performance optimized for deep learning training
NVIDIA B200 is 43.3% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 43.3% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 75% faster
NVIDIA B200
NVIDIA B200
NVIDIA H100 PCIe
NVIDIA H100 PCIe
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