Name: UCSC-GPU-L4 Cisco NVIDIA L4 24GB Tensor Core GPU PCIe Gen4 x16 TDP 72W Graphics Card
Brand: Cisco
SKU: UCSC-GPU-L4
Price: 2712.85 USD
Availability: InStock
Rating: 4.8 (130 reviews)

Product Overview
The Cisco UCSC-GPU-L4 is a specialized NVIDIA graphics card designed to deliver efficient AI and graphics performance within Cisco UCS server environments. It balances high memory capacity with a low power footprint, fitting well in data centers focused on AI inference and video processing tasks.

General Information
Brand	Cisco
Part Number	UCSC-GPU-L4

Technical Information
Chipset	Nvidia

Memory
Memory Size	24GB
Interface	GDDR6

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

Physical Characteristics
Weight	3.00
Condition	Refurbished

Product Description
The Cisco UCSC-GPU-L4 is built for accelerating AI, machine learning, and graphics-intensive applications. It is often found in data centers and enterprise servers where efficient GPU performance is crucial. This graphics card is commonly used in AI inference tasks, virtual desktops, and video processing workflows. IT professionals and data scientists benefit from its combination of high memory capacity and low power consumption. Key Features Equipped with 24GB of GDDR6 memory for handling large datasets Uses PCIe Gen4 x16 for fast data transfer speeds Maintains a low TDP of 72W to reduce cooling needs Supports NVIDIA's Tensor Core technology for improved AI performance Compatible with Cisco UCS servers for seamless integration This GPU is typically deployed in enterprise environments requiring reliable AI acceleration without excessive power demands. It plays a key role in improving computational efficiency while keeping operational costs manageable.

Use Cases
The Cisco UCSC-GPU-L4 is typically deployed in data center environments where AI inference and graphics processing are critical. IT administrators and system architects benefit from its power-efficient design and high-memory capacity, making it suitable for virtualized servers and compact rack deployments requiring advanced GPU capabilities without excessive power consumption. How It's Used: Accelerating real-time AI inference workloads in enterprise data centers with constrained power budgets. Enhancing video transcoding and streaming operations in media production facilities using UCS rack servers. Supporting edge computing nodes that require efficient GPU performance without large thermal footprints. Providing GPU resources for virtual desktop infrastructure (VDI) in remote office environments. Enabling machine learning model deployment within cloud service providers’ server clusters. This GPU integrates seamlessly into Cisco UCS infrastructures, allowing organizations to optimize their compute resources while maintaining scalability and operational efficiency. Its balance of performance and power efficiency aids in reducing cooling and energy costs in dense server deployments.