Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ampere Architecture
Ada Lovelace Architecture
| Specification | NVIDIA A100 PCIe | NVIDIA L40S |
|---|---|---|
| Architecture | Ampere | Ada Lovelace |
| Release Year | 2020 | 2023 |
| VRAM | 80 GB+66.7% | 48 GB |
| Memory Type | HBM2e | GDDR6 |
| Memory Bandwidth | 1935 GB/s+124.0% | 864 GB/s |
| FP32 Performance | 19.5 TFLOPS | 91.6 TFLOPS+78.7% |
| FP16 Performance | 78 TFLOPS | 183 TFLOPS+57.4% |
| INT8 Performance | 624 TOPS | 733 TOPS+14.9% |
| Tensor Cores | 6912 | 18176 |
| CUDA Cores | 6912 | 18176 |
| TDP | 300W | 350W |
| Form Factor | PCIe | PCIe |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.98+15.3% | $0.85 |
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 78.7% faster
Half-precision performance optimized for deep learning training
NVIDIA L40S is 57.4% faster
Integer performance for efficient model inference and deployment
NVIDIA L40S is 14.9% faster
Data transfer speed between GPU and memory
NVIDIA A100 PCIe is 124% faster
NVIDIA L40S
NVIDIA A100 PCIe
NVIDIA L40S
NVIDIA L40S
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