Positioning the NVIDIA L40S
The NVIDIA L40S is a versatile data center GPU built on the Ada Lovelace architecture. Packed with 48GB of GDDR6 memory and powerful FP8/FP16 Tensor Cores, it delivers formidable performance for LLM inference, parameter-efficient fine-tuning (PEFT/LoRA), and generative vision workloads like Stable Diffusion and Flux.
It originally gained major traction as an immediately available, cost-effective alternative during the global H100 and A100 supply constraints.
Comparison with A100: Pros and Cons
- Superior Inference Cost Efficiency: With native FP8 Transformer acceleration and high compute density, the L40S delivers significantly more tokens per dollar for production serving than an A100 80GB on modern frameworks like vLLM.
- Memory Bandwidth Tradeoff: Utilizing standard GDDR6 (864 GB/s) rather than HBM2e/HBM3 (1.5 - 3.35 TB/s), it encounters bandwidth saturation in large-scale pre-training workloads.
- No NVLink: Since L40S runs over standard PCIe Gen4, multi-GPU scaling is bounded by host PCIe bus speeds rather than ultra-fast NVLink fabrics.
Who Should Choose the L40S?
- Teams serving 7B to 70B parameter models in production environments.
- Labs running parameter-efficient fine-tuning (LoRA/QLoRA) on 7B-14B models.
- Generative media platforms processing image, audio, or video synthesis at scale.
How to Check on Perhour
Check the L40S price page to evaluate hourly cloud rates and compare them against the A100 price.