NVIDIA L40SvsNVIDIA H100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA L40S
Ada Lovelace Architecture
NVIDIA H100 SXM
Hopper Architecture
Detailed Specifications
| Specification | NVIDIA L40S | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Ada Lovelace | Hopper |
| Release Year | 2023 | 2022 |
| VRAM | 48 GB | 80 GB+40% |
| Memory Type | GDDR6 | HBM3 |
| Memory Bandwidth | 864 GB/s | 3350 GB/s+74.2% |
| FP32 Performance | 91.6 TFLOPS+52.7% | 60 TFLOPS |
| FP16 Performance | 183 TFLOPS+52.5% | 120 TFLOPS |
| INT8 Performance | 733 TOPS | 2400 TOPS+69.5% |
| Tensor Cores | 18176 | 16896 |
| CUDA Cores | 18176 | 16896 |
| TDP | 350W | 700W |
| Form Factor | PCIe | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.85 | $1.5+43.3% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 52.7% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA L40S is 52.5% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 69.5% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 74.2% faster
NVIDIA L40S
NVIDIA H100 SXM
NVIDIA L40S
NVIDIA L40S
Ideal Workloads
NVIDIA L40S
NVIDIA H100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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