NVIDIA L4 Tensor Core GPU The breakthrough universal accelerator for efficient video, AI, and graphics.

NVIDIA L4 is a graphics processing unit (GPU) based on the Ada Lovelace architecture, designed for a wide range of tasks, including artificial intelligence (AI) inference , media processing and virtualized workstations based on DELL PowerEdge R760 and DELL PowerEdge R760xa servers . This GPU is designed to provide high efficiency and performance with low power consumption, making it an ideal choice for cloud services and data centers.

Key features of NVIDIA L4:

1. Architecture :

   • Ada Lovelace is NVIDIA's latest architecture, which provides a significant increase in performance compared to previous generations and is optimized for AI, media processing and graphics rendering tasks.

2. CUDA kernel :

   • 7680 CUDA cores – These cores are responsible for parallel computing, providing high performance for AI inference tasks and video processing.

3. Tensor kernels :

   • 240 Tensor cores (4th generation) – These cores significantly accelerate machine learning and AI calculations by supporting the new FP8 computation formats, allowing for even greater performance in deep learning tasks.

4. RT-kernel (Ray Tracing Cores) :

   • 60 RT cores (3rd generation) — ray tracing cores designed for rendering high-quality graphics in real time. This is important for rendering 3D graphics and creating VR applications.

5. Memory :

   • 24 GB GDDR6 is enough memory for efficient processing of large artificial intelligence models and complex graphics tasks.
   • Memory bandwidth: 300 GB/s , which allows you to process large data sets quickly and efficiently.

6. Energy consumption (TDP) :

   • 72W - Low power consumption makes this GPU ideal for use in cloud environments and data centers where energy efficiency is important.

7. Interface :

   • PCIe Gen4 — support for the modern PCIe 4.0 interface for fast data exchange between the GPU and other system components.

8. Multi-instance GPU (MIG) :

   • MIG (Multi-Instance GPU) is a technology that allows you to distribute one GPU to several logical instances, which makes it possible to more efficiently use resources in cloud environments for several simultaneous tasks.

Purpose of NVIDIA L4:

1. Artificial intelligence (AI) inference :

   • NVIDIA L4 is optimized for AI inference tasks, that is, for applying machine learning models in real time. Thanks to Tensor cores and support for low-precision calculations, L4 is able to significantly accelerate inference while providing high efficiency.
   • The GPU supports the use of large language models (LLM), computer vision and other AI technologies in cloud applications.

2. Media processing :

   • L4 is ideal for video encoding, decoding and streaming . GPU supports hardware acceleration of media processing, including encoding and decoding of video in H.264 and H.265 (HEVC) formats, which ensures fast and efficient video processing.
   • Support for multi-stream encoding makes L4 an excellent choice for streaming services, video conferencing, video analytics and platforms working with a large amount of media content.

3. Virtualized workstations (VDI) :

   • L4 supports NVIDIA vGPU technology, which allows you to create virtual graphics workstations for users in cloud environments. This solution allows multiple users to use a single physical GPU to run graphically intensive applications.
   • The GPU delivers high performance in 3D modeling, design, engineering and architecture applications, allowing professionals to access powerful graphics capabilities through remote workstations.

4. Graphic visualization and rendering :

   • The L4 is equipped with RT cores for ray tracing, which allows rendering of high-quality 3D graphics in real time. This is important for designers, architects, animators and other professionals working with graphic content.
   • The GPU also supports rendering via APIs such as DirectX, Vulkan, and OpenGL.

Key benefits of NVIDIA L4:

• Energy efficiency : With low power consumption (72 W), L4 is an economical choice for cloud applications and data centers, providing high performance without unnecessary energy costs.
• Versatility : L4 is suitable for many types of tasks, from AI and media processing to graphics rendering and working with virtualized workstations.
• Virtualization capabilities (vGPU) : Virtualization support allows you to deploy graphics workstations in the cloud, providing high performance for many users on a single GPU.
• Ray tracing capabilities : L4 provides high-quality graphics rendering using RT cores, making it an excellent choice for rendering in architecture, design, and other graphics applications.

Areas of application of NVIDIA L4:

• Cloud services for AI inference (speech recognition, computer vision, NLP).
• Platforms for video broadcasting and processing (video conferences, video analytics, streaming).
• Virtual graphics workstations for design and engineering professionals.
• 3D rendering and graphic visualization for architecture, animation and modeling.

NVIDIA L4 is a versatile and efficient GPU that can be used in many industries where power is needed for computing, media processing and graphics, while it is characterized by low power consumption and the possibility of virtualization.

How can we help?

For more detailed information about the DELL PowerEdge R760 server with DDR5 4800 or the DELL PowerEdge R750 server with DDR4 3200, you can find it on our website SERVER SOLUTIONS , to find out the cost of the server, go to the DELL Server Configurator link .