NVIDIA L40S 48GB GDDR6 GPU | Data Center GPU for Generative AI, LLMs, Inference, Rendering & Virtualization

1,078,999

The NVIDIA L40S 48GB GDDR6 GPU is a professional data center graphics processor built for demanding AI, accelerated computing, rendering, and virtualization workloads. With 48GB of GDDR6 memory, it is designed for generative AI, large language model (LLM) inference, deep learning, 3D rendering, professional visualization, and virtual workstation environments.

Key Features

  • 48GB GDDR6 Memory: Provides high-capacity GPU memory for demanding AI and professional workloads.
  • Data Center GPU: Designed for enterprise data centers, servers and accelerated computing platforms.
  • Generative AI Ready: Suitable for generative AI development, model inference and AI workloads.
  • LLM & AI Inference: Designed for large language model inference and other GPU-accelerated AI applications.
  • Professional Rendering: Suitable for 3D rendering, visual effects, animation and professional visualization.
  • Virtualization: Supports GPU-accelerated virtual workstation and virtualization environments.
  • Multi-Workload Performance: Designed to handle AI, graphics and compute workloads on a single professional GPU platform.
  • Enterprise Applications: Suitable for cloud computing, data center deployments, professional visualization and accelerated computing.

Specifications

Specification Details
Brand NVIDIA
GPU Model NVIDIA L40S
GPU Category Data Center GPU
GPU Architecture NVIDIA Ada Lovelace
GPU Memory 48GB
Memory Type GDDR6
Application AI, Inference, Rendering & Virtualization
AI Workloads Generative AI, LLMs, Deep Learning & Inference
Graphics Workloads 3D Rendering, Visualization & Media
Virtualization GPU-Accelerated Virtualization
Usage Data Center, Enterprise & Professional Workstations
Form Factor Data Center / PCIe GPU
Product Category Professional Data Center GPU

Ideal Applications

  • Generative AI and AI development
  • Large language model (LLM) inference
  • Deep learning and machine learning
  • AI-powered applications
  • 3D rendering and visualization
  • Professional content creation
  • Virtual workstations and VDI
  • Data center accelerated computing
  • Cloud GPU workloads
  • Media and visual effects

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