NVIDIA L4 Tensor Core Graphics Card 24GB

The L4 is a professional graphics card by NVIDIA, launched on March 21st, 2023. Built on the 5 nm process, and based on the AD104 graphics processor, in its AD104-???-A1 variant, the card supports DirectX 12 Ultimate. The AD104 graphics processor is an average sized chip with a die area of 294 mm² and 35,800 million transistors. Unlike the fully unlocked GeForce RTX 4070 Ti, which uses the same GPU but has all 7680 shaders enabled, NVIDIA has disabled some shading units on the L4 to reach the product’s target shader count. It features 7424 shading units, 240 texture mapping units, and 80 ROPs. Also included are 240 tensor cores which help improve the speed of machine learning applications. The card also has 60 raytracing acceleration cores. NVIDIA has paired 24 GB GDDR6 memory with the L4, which are connected using a 192-bit memory interface. The GPU is operating at a frequency of 795 MHz, which can be boosted up to 2040 MHz, memory is running at 1563 MHz (12.5 Gbps effective).

Being a single-slot card, the NVIDIA L4 does not require any additional power connector, its power draw is rated at 72 W maximum. This device has no display connectivity, as it is not designed to have monitors connected to it. L4 is connected to the rest of the system using a PCI-Express 4.0 x16 interface. The card measures 169 mm in length, 56 mm in width, and features a single-slot cooling solution.

Key Features:

1. Ada Lovelace Architecture

• CUDA Cores

• • With 7,424 CUDA cores, the NVIDIA L4 delivers robust parallel processing power for compute-intensive tasks, from AI workloads to real-time data analysis.

• 4th-Generation Tensor Cores

• • Accelerates AI training and inference with support for advanced mixed-precision formats like FP8, FP16, and INT8, enabling faster and more efficient deep learning performance.

• 3rd-Generation RT Cores

• • Provides real-time ray tracing for enhanced visual fidelity in rendering and simulation tasks, delivering realistic lighting, shadows, and reflections.

2. 24GB GDDR6 Memory

• High Memory Capacity
  • The 24GB of GDDR6 memory supports large AI models, video processing pipelines, and complex simulations without bottlenecks.
• High Memory Bandwidth
  • Features optimized memory throughput to handle demanding data workloads and AI inferencing efficiently.

3. AI and Media Acceleration

• TensorRT Optimization
  • The NVIDIA L4 is fully optimized for TensorRT, accelerating AI models across a variety of frameworks and ensuring reduced latency for inference.
• Video Transcoding
  • Capable of handling up to 4x 4K video streams or 32x 1080p video streams simultaneously, making it ideal for media servers and cloud-based video platforms.

4. Energy Efficiency

• Optimized Power Usage
  • With a TDP of only 72W, the L4 delivers exceptional performance-per-watt, making it ideal for energy-conscious data centers and cloud deployments.
• Passive Cooling
  • Designed for rack-mounted servers and dense computing environments, the L4 uses a passive cooling solution to maintain thermal efficiency.

5. Enterprise Reliability and Scalability

• Certified Drivers
  • Backed by NVIDIA enterprise drivers, ensuring stability, security, and compatibility with professional applications and cloud platforms.
• Scalability
  • Supports multi-GPU configurations to scale performance for large workloads in AI training, inferencing, and media processing.

6. Connectivity and Compatibility

• PCIe 4.0 Support
  • Enables high-speed data transfer for bandwidth-intensive applications, ensuring low latency and optimal performance.
• Virtualization Support
  • Compatible with NVIDIA vGPU and cloud-based platforms, enabling virtualized AI and media workflows.

Applications:

1. Artificial Intelligence and Machine Learning

• • AI Inference: Accelerates real-time inferencing for applications like recommendation systems, chatbots, and language models.
  • Deep Learning: Speeds up the deployment of pre-trained AI models in fields like healthcare, autonomous vehicles, and smart cities.

2. Media and Streaming

• • Video Transcoding: Handles multiple high-resolution streams for live video streaming, video-on-demand platforms, and cloud gaming services.
  • Interactive Media: Powers low-latency applications such as augmented reality (AR) and virtual reality (VR) media.

3. Data Analytics

• • Big Data Processing: Accelerates data pipelines and interactive analytics for industries like finance, retail, and telecommunications.
  • Edge AI: Supports edge deployments for real-time data processing in IoT devices and industrial automation.

4. Cloud and Virtualization

• • Cloud AI Services: Optimized for deployment in cloud environments, enabling scalable AI services across various industries.
  • Virtual Desktops: Powers virtualized environments, enabling AI-driven features in remote work and collaboration tools.

5. Scientific Research and Simulations

• • Scientific Computing: Accelerates simulations in fields like genomics, climate science, and material design.
  • Digital Twins: Supports the creation of real-time digital twins for industrial applications and smart city planning.

Why Choose the NVIDIA L4 Tensor Core Graphics Card 24GB?

1. Exceptional AI and Inference Performance

1. • With 4th-generation Tensor Cores, the L4 delivers industry-leading performance for AI inferencing and model deployment.

2. Energy-Efficient Design

1. • The L4 operates at just 72W, ensuring high performance without excessive power consumption, reducing operational costs in data centers and cloud platforms.

3. Media Acceleration for Streaming Services

1. • Its ability to transcode multiple 4K or 1080p video streams simultaneously makes it a perfect choice for video-on-demand platforms and media servers.

4. Scalability for Enterprise Workloads

1. • The L4’s scalability through multi-GPU configurations and virtualization support allows it to handle expanding workloads efficiently.

5. Enterprise-Grade Reliability

1. • Backed by NVIDIA’s certified drivers and ecosystem, the L4 ensures stable and secure operation in mission-critical environments.

6. Versatile Use Cases

1. • From cloud AI services and media processing to data analytics and edge computing, the L4 is a flexible solution for diverse applications.