NVIDIA A100 vs NVIDIA L40S
Specs, monthly cost in taka and the workloads each GPU suits, side by side.
Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: A100, L40S.
The short answer
Pick the NVIDIA A100 if: You fine-tune LLMs for a thesis or product, need 80 GB of fast HBM memory, or want a proven training GPU at a lower rate than the H100.
Pick the NVIDIA L40S if: You generate images or video (FLUX, SDXL), fine-tune 7–13B models with LoRA, or serve a 13B model in FP16 — 48 GB for little more than half the A100's hourly rate.
The NVIDIA A100 costs about 86% more per hour than the NVIDIA L40S. If your model fits comfortably on the cheaper GPU and you are not short of time, the cheaper one usually wins. Compare with your own model →
Common questions
Which is faster, the NVIDIA A100 or the NVIDIA L40S?
On paper the NVIDIA L40S is faster: 733 TFLOPS vs 624 TFLOPS FP16 tensor (with sparsity). Real-world speed depends on your model, batch size and memory bandwidth.
Which one costs less?
The NVIDIA L40S is ৳343 per hour and the NVIDIA A100 is ৳638, about 86% more. For 40 hours that is ৳13,720 vs ৳25,520.
Which has more memory?
The NVIDIA A100 has 80 GB and the NVIDIA L40S has 48 GB. Roughly, the NVIDIA A100 fits 32B in FP16, 70B at 8-bit (tight); the NVIDIA L40S fits 13B in FP16, about 70B at 4-bit (tight).
Which should I choose for my project?
Choose the NVIDIA A100 if: You fine-tune LLMs for a thesis or product, need 80 GB of fast HBM memory, or want a proven training GPU at a lower rate than the H100. Choose the NVIDIA L40S if: You generate images or video (FLUX, SDXL), fine-tune 7–13B models with LoRA, or serve a 13B model in FP16 — 48 GB for little more than half the A100's hourly rate.