Скачать или смотреть NVIDIA L40S vs L40: Generative AI Focus

The article https://www.bestgpusforai.com/gpu-comparis... provides a detailed comparison between two specialized NVIDIA data center GPUs, the *L40* and the *L40S**, both built on the Ada Lovelace architecture with 48 GB of GDDR6 memory. The key difference lies in their optimization: the **NVIDIA L40S* is positioned as the superior accelerator for *Large Language Models (LLMs) and generative AI**, boasting substantially higher FP8/INT8 Tensor core throughput and the proprietary **Transformer Engine**. Conversely, the **NVIDIA L40* serves as a more **versatile universal GPU**, excelling in balanced environments that require resource sharing among general AI inference, VDI, and visualization tasks. Although the L40S operates with a higher power consumption (350 W vs. 300 W), this budget enables it to offer nearly double the low-precision compute necessary for efficient, high-density AI serving. Therefore, the decision between the two hinges on whether the server will host mixed workloads or focus strictly on maximum performance for **FP8-centric generative AI**.