The NVIDIA L40S GPU is a high-performance graphics card designed specifically for data centers and based on the modern Ada-Lovelace architecture. It offers exceptional computing power for AI workloads, machine learning, high-performance computing (HPC), 3D rendering and simulation-based applications.

Technical features:

• Ada Lovelace architecture: Enables enormous computing power and energy efficiency.
• Tensor Cores and RT Cores: For AI and graphics acceleration, ideal for AI inference and training.
• Multi-Instance GPU (MIG): Allows virtualization to divide GPU resources among multiple users.
• Scalability: Supports modern hybrid workloads and applications in data centers.

Use Cases:

1. AI and deep learning: The L40S is used for training and inference in modern AI models, such as language models, image classification and computer vision.
2. 3D rendering and simulation: Ideal for applications in film production, architecture and the automotive industry that require real-time rendering and physical simulations.
3. Virtual Desktops: The L40S supports remote work and virtualized desktops by enabling graphics processing and 3D rendering on multiple virtual machines.
4. High-performance computing (HPC): Enables simulation-based applications in science and engineering, such as weather forecasting, molecular dynamics and finite element analysis.

Advantages for data centers:

• Efficiency and density: Supports high compute density and energy efficiency, which reduces data center operating costs.
• Scalability: Can be easily integrated and scaled in large data centers with high requirements for AI, HPC and virtualization.