Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ampere Architecture
Blackwell Architecture
| Specification | NVIDIA A40 | NVIDIA B200 |
|---|---|---|
| Architecture | Ampere | Blackwell |
| Release Year | 2020 | 2024 |
| VRAM | 48 GB | 192 GB+75% |
| Memory Type | GDDR6 | HBM3e |
| Memory Bandwidth | 696 GB/s | 8000 GB/s+91.3% |
| FP32 Performance | 37.4 TFLOPS | 90 TFLOPS+58.4% |
| FP16 Performance | 74.8 TFLOPS | 180 TFLOPS+58.4% |
| INT8 Performance | 299 TOPS | 3600 TOPS+91.7% |
| Tensor Cores | 10752 | 18432 |
| CUDA Cores | 10752 | N/A |
| TDP | 300W | 1000W |
| Form Factor | PCIe | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.75 | $3.4+77.9% |
Single-precision floating-point performance for general compute workloads
NVIDIA B200 is 58.4% faster
Half-precision performance optimized for deep learning training
NVIDIA B200 is 58.4% faster
Integer performance for efficient model inference and deployment
NVIDIA B200 is 91.7% faster
Data transfer speed between GPU and memory
NVIDIA B200 is 91.3% faster
NVIDIA B200
NVIDIA B200
NVIDIA A40
NVIDIA A40
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