Name: 900-2G193-0000-000 NVIDIA Tesla L4 24GB Tensor Core PCIe Gen4 x16 GPU Graphics Card
Brand: Nvidia
SKU: 900-2G193-0000-000
Price: 3600.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The NVIDIA Tesla L4 24GB GPU is designed to accelerate AI inference and graphics tasks in compact server environments. It combines efficient Tensor Cores and ample memory with PCIe Gen4 connectivity to handle demanding workloads without excess power draw or size.

General Information
Brand	Nvidia
Part Number	900-2G193-0000-000

Technical Information
Chipset	Nvidia
Bus Interface	PCIe Gen4 x16
Supported APIs	DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 5.1, DirectCompute

Memory
Memory Size	24GB
Interface	GDDR6

Physical Characteristics
Weight	3.00
Condition	Refurbished

Miscellaneous
Assembly Required	Yes
Eco Friendly	Yes
Compliance Standards	WEEE, RoHS, CE, FCC, UL, TUV, cULus

Product Description
The NVIDIA Tesla L4 24GB GPU is built for high-performance AI inference and advanced graphics rendering. It’s commonly found in data centers and edge servers where efficient processing of machine learning models and visual workloads is critical. This card supports professionals and enterprises aiming to accelerate AI applications without compromising on power efficiency. Key Features Employs Tensor Core technology for faster AI computations Delivers 24GB of GDDR6 memory to handle large datasets Utilizes PCIe Gen4 x16 for improved bandwidth and speed Energy-efficient design tailored for 24/7 operations Compact form factor fits into tight server racks It’s often deployed in AI model inference, virtual desktop infrastructure, and real-time graphics rendering scenarios. The Tesla L4 balances performance with low power consumption, making it practical for organizations needing reliable acceleration in constrained spaces.

Use Cases
The NVIDIA Tesla L4 24GB GPU is commonly deployed in compact, high-density server environments where efficient AI inference and graphics acceleration are critical. It particularly benefits enterprises and service providers focusing on edge computing, virtualized workloads, and AI-powered applications with space and power constraints. How It's Used: Accelerating real-time AI inference in edge data centers to support applications like video analytics and natural language processing. Integrating into virtual desktop infrastructure (VDI) environments within enterprise IT for enhanced graphics performance without increasing server footprint. Supporting graphics rendering and AI workloads in compact rack deployments for content creation studios or remote office servers. Enabling machine learning model deployment in telecom edge nodes, balancing performance and power efficiency. Facilitating AI-driven automation in industrial IoT gateways that require GPU acceleration within limited physical space. This GPU supports operational efficiency by delivering robust AI and graphics processing in environments constrained by space and power, enabling scalable deployment across distributed computing infrastructures. Its PCIe Gen4 connectivity and Tensor Core technology help maintain performance consistency under diverse workload demands.