Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Blackwell Architecture
Ampere Architecture
| Specification | NVIDIA B200 | NVIDIA A100 PCIe |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Release Year | 2024 | 2020 |
| VRAM | 192 GB+140.0% | 80 GB |
| Memory Type | HBM3e | HBM2e |
| Memory Bandwidth | 8000 GB/s+313.4% | 1935 GB/s |
| FP32 Performance | 90 TFLOPS+361.5% | 19.5 TFLOPS |
| FP16 Performance | 180 TFLOPS+130.8% | 78 TFLOPS |
| INT8 Performance | 3600 TOPS+476.9% | 624 TOPS |
| Tensor Cores | 18432 | 6912 |
| CUDA Cores | N/A | 6912 |
| TDP | 1000W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $3.4+246.9% | $0.98 |
Single-precision floating-point performance for general compute workloads
NVIDIA B200 is 361.5% faster
Half-precision performance optimized for deep learning training
NVIDIA B200 is 130.8% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 476.9% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 313.4% faster
NVIDIA B200
NVIDIA B200
NVIDIA A100 PCIe
NVIDIA B200
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