Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture
Blackwell Architecture
| Specification | NVIDIA L40S | NVIDIA GB200 |
|---|---|---|
| Architecture | Ada Lovelace | Blackwell |
| Release Year | 2023 | 2024 |
| VRAM | 48 GB | 192 GB+75% |
| Memory Type | GDDR6 | HBM3e |
| Memory Bandwidth | 864 GB/s | 8000 GB/s+89.2% |
| FP32 Performance | 91.6 TFLOPS+1.8% | 90 TFLOPS |
| FP16 Performance | 183 TFLOPS+1.7% | 180 TFLOPS |
| INT8 Performance | 733 TOPS | 3600 TOPS+79.6% |
| Tensor Cores | 18176 | 18432 |
| CUDA Cores | 18176 | N/A |
| TDP | 350W | 1000W |
| Form Factor | PCIe | Superchip |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.85 | $3.75+77.3% |
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 1.8% faster
Half-precision performance optimized for deep learning training
NVIDIA L40S is 1.7% faster
Integer performance for efficient model inference and deployment
NVIDIA GB200 is 79.6% faster
Data transfer speed between GPU and memory
NVIDIA GB200 is 89.2% faster
NVIDIA L40S
NVIDIA GB200
NVIDIA L40S
NVIDIA L40S
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