NVIDIA A100 SXMvsNVIDIA L40S
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA A100 SXM
Ampere Architecture
NVIDIA L40S
Ada Lovelace Architecture
Detailed Specifications
| Specification | NVIDIA A100 SXM | NVIDIA L40S |
|---|---|---|
| Architecture | Ampere | Ada Lovelace |
| Release Year | 2020 | 2023 |
| VRAM | 80 GB+66.7% | 48 GB |
| Memory Type | HBM2e | GDDR6 |
| Memory Bandwidth | 2039 GB/s+136.0% | 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 | 400W | 350W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.05+23.5% | $0.85 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 78.7% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA L40S is 57.4% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA L40S is 14.9% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA A100 SXM is 136% faster
NVIDIA L40S
NVIDIA A100 SXM
NVIDIA L40S
NVIDIA L40S
Ideal Workloads
NVIDIA A100 SXM
NVIDIA L40S
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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