Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Hopper Architecture
Ada Lovelace Architecture
| Specification | NVIDIA H100 PCIe | NVIDIA L40S |
|---|---|---|
| Architecture | Hopper | Ada Lovelace |
| Release Year | 2022 | 2023 |
| VRAM | 80 GB+66.7% | 48 GB |
| Memory Type | HBM3 | GDDR6 |
| Memory Bandwidth | 2000 GB/s+131.5% | 864 GB/s |
| FP32 Performance | 51 TFLOPS | 91.6 TFLOPS+44.3% |
| FP16 Performance | 102 TFLOPS | 183 TFLOPS+44.3% |
| INT8 Performance | 2040 TOPS+178.3% | 733 TOPS |
| Tensor Cores | 14592 | 18176 |
| CUDA Cores | 14592 | 18176 |
| TDP | 350W | 350W |
| Form Factor | PCIe | PCIe |
| NVLink Support | No | No |
| Avg. Price/Hour | $1.4+64.7% | $0.85 |
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 44.3% faster
Half-precision performance optimized for deep learning training
NVIDIA L40S is 44.3% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 PCIe is 178.3% faster
Data transfer speed between GPU and memory
NVIDIA H100 PCIe is 131.5% faster
NVIDIA L40S
NVIDIA H100 PCIe
NVIDIA L40S
NVIDIA L40S
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