NVIDIA H100 SXMvsNVIDIA L40S
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
NVIDIA L40S
Ada Lovelace Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | NVIDIA L40S |
|---|---|---|
| Architecture | Hopper | Ada Lovelace |
| Release Year | 2022 | 2023 |
| VRAM | 80 GB+66.7% | 48 GB |
| Memory Type | HBM3 | GDDR6 |
| Memory Bandwidth | 3350 GB/s+287.7% | 864 GB/s |
| FP32 Performance | 60 TFLOPS | 91.6 TFLOPS+34.5% |
| FP16 Performance | 120 TFLOPS | 183 TFLOPS+34.4% |
| INT8 Performance | 2400 TOPS+227.4% | 733 TOPS |
| Tensor Cores | 16896 | 18176 |
| CUDA Cores | 16896 | 18176 |
| TDP | 700W | 350W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5+76.5% | $0.85 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 34.5% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA L40S is 34.4% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 227.4% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 287.7% faster
NVIDIA L40S
NVIDIA H100 SXM
NVIDIA L40S
NVIDIA L40S
Ideal Workloads
NVIDIA H100 SXM
NVIDIA L40S
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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