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| Product Overview |
|---|
The Cisco UCSC-GPU-L4 is a specialized NVIDIA GPU designed to enhance computing capacity within server systems. It fits into PCIe Gen4 slots and offers a balanced combination of power efficiency and processing strength, making it suitable for AI workloads and graphics processing in professional environments. |
| General Information | |
|---|---|
| Brand | Cisco |
| Part Number | 900-2G193-5200-001 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe Gen4 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | None |
| Power Connectors | None |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR6 |
| Physical Characteristics | |
|---|---|
| Slot Width | Single-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The Cisco UCSC-GPU-L4 is built to accelerate workloads requiring high-performance graphics and computation. Often found in data centers and enterprise servers, this GPU supports complex AI tasks, machine learning, and virtualization. This graphics card is commonly used in environments where efficient processing power meets tight space and power constraints, making it suitable for organizations focused on scalable computing solutions. Key Features
This GPU card is typically installed in enterprise server racks or data centers, where its performance supports faster computation and improved workload handling. Its efficient power usage helps reduce heat and energy costs while delivering the necessary horsepower for demanding tasks. |
| Use Cases |
|---|
The Cisco NVIDIA L4 24GB Tensor Core GPU is primarily deployed in data center and enterprise server environments where AI inference and graphics-intensive workloads demand efficient processing power. IT teams managing virtualization platforms and edge computing nodes benefit from its balanced performance and power efficiency. How It's Used:
By integrating the Cisco NVIDIA L4 GPU, organizations can achieve improved computational throughput while maintaining operational efficiency in constrained power and space environments. This supports scalable infrastructure growth and consistent performance delivery for specialized AI and visualization tasks. |