Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture
Ampere Architecture
| Specification | NVIDIA L40S | NVIDIA RTX 3090 |
|---|---|---|
| Architecture | Ada Lovelace | Ampere |
| Release Year | 2023 | 2020 |
| VRAM | 48 GB+100.0% | 24 GB |
| Memory Type | GDDR6 | GDDR6X |
| Memory Bandwidth | 864 GB/s | 936 GB/s+7.7% |
| FP32 Performance | 91.6 TFLOPS+157.3% | 35.6 TFLOPS |
| FP16 Performance | 183 TFLOPS+157.7% | 71 TFLOPS |
| INT8 Performance | 733 TOPS+158.1% | 284 TOPS |
| Tensor Cores | 18176 | 10496 |
| CUDA Cores | 18176 | 10496 |
| TDP | 350W | 350W |
| Form Factor | PCIe | Consumer |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.85+286.4% | $0.22 |
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 157.3% faster
Half-precision performance optimized for deep learning training
NVIDIA L40S is 157.7% faster
Integer performance for efficient model inference and deployment
NVIDIA L40S is 158.1% faster
Data transfer speed between GPU and memory
NVIDIA RTX 3090 is 7.7% faster
NVIDIA L40S
NVIDIA L40S
NVIDIA RTX 3090
NVIDIA L40S
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