The NVIDIA L40S GPU Accelerator, built on the NVIDIA Ada Lovelace architecture, delivers cutting-edge graphics, compute, and AI performance for modern data center workloads. With 48GB of GDDR6 memory, third-generation RT cores, and fourth-generation Tensor cores, it is optimized for virtual workstations, AI training, rendering, and complex visual computing tasks, making it ideal for enterprises requiring scalable performance across a wide range of applications.
Generative AI, LLM inference, LLM fine-tuning and small-model training, NVIDIA Omniverse Enterprise, rendering, 3D graphics, streaming, and video content
Yes (refer to Virtual GPU Licensing Guide for specific profiles)
Secure Boot with Root of Trust
Yes
NEBS Ready
Level 3
MIG Support
No
NVLink Support
No
Supported Technologies
Virtual GPU (vGPU)
Supported for multi-user environments
Secure Boot with Root of Trust
Yes
NEBS Ready
Level 3 compliant
NVLink and MIG Support
No
Server Compatibility
Virtual GPU (vGPU) Software Support: Supports vGPU 16.1 (R535 GA6) or later and NVIDIA Virtual Compute Server Edition. It also supports NVIDIA RTX™ Virtual Workstation vDWS, NVIDIA GRID® Virtual Applications (GRID vApps), and NVIDIA GRID Virtual PC (GRID vPC).
Accelerated single-precision floating point (FP32) throughput and improved power efficiency significantly boost performance. The GPU also supports 16-bit math capabilities (BF16) for mixed-precision workloads.
02
Hardware-Accelerated Video
Features three dedicated video encoders (NVENC) and three dedicated video decoders (NVDEC), including support for AV1 encode and decode, which accelerates video processing workflows.
03
DLSS 3
This breakthrough frame-generation technology, which leverages deep learning and the Ada Lovelace architecture, boosts rendering performance and delivers higher frames per second.
04
NVIDIA Omniverse™
The L40S is part of the NVIDIA OVX™ server platform and is optimized to deliver high-performance graphics, ray tracing, and simulation for NVIDIA Omniverse™.
05
Transformer Engine
This technology intelligently scans transformer architecture neural networks and automatically recasts between FP8 and FP16 precisions to deliver faster AI performance and accelerate training and inference.