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- In Stock: 3
- Manufacturer: Cisco
- Model or Part: UCSC-GPU-VGXK2
- Condition: Refurbished
- Weight: 2.00lb
- Dimensions: 1.00in x 1.00in x 1.00in
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Item Condition
New - Sealed or Open Box ConditionExcellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item
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Overview
The Cisco UCSC-GPU-VGXK2 integrates the powerful Nvidia Grid K2 accelerator into Cisco UCS infrastructure, delivering high-performance virtual GPU (vGPU) capabilities for data-center workloads. Designed for demanding graphics, AI and deep learning tasks, this solution enables multiple virtual machines to share a single GPU, maximizing resource utilization while maintaining enterprise-grade reliability and management.
Key Features
- Supports up to four virtual GPU instances per physical card, allowing flexible allocation of graphics resources.
- Full integration with Cisco UCS Manager for seamless provisioning and monitoring.
- Enterprise-class ECC memory to protect against data corruption.
- High bandwidth PCIe Gen3 x16 interface ensures low latency and high throughput.
- Compatible with Nvidia GRID software stack for easy deployment of virtual desktop infrastructure (VDI) and GPU-accelerated applications.
- Energy efficient design with dynamic power management.
Technical Specifications
- GPU Architecture: Nvidia Kepler GK110
- CUDA Cores: 1536
- Memory: 8 GB GDDR5
- Memory Bandwidth: 256 GB/s
- Form Factor: Full height, full length PCIe card
- Power Consumption: 250 W typical
- Operating Temperature: 0 to 40 degrees Celsius
- Supported Host OS: Windows Server 2016/2019, Linux distributions with Nvidia driver support
Applications
The Nvidia Grid K2 accelerator is ideal for virtual desktop infrastructure, enabling smooth 3D graphics and video rendering for remote users. It also accelerates AI inference, machine learning model training, and high-performance computing workloads such as scientific simulations and financial modeling. Enterprises can leverage this card to deliver GPU-intensive applications to multiple users without the need for dedicated physical workstations, reducing total cost of ownership while improving scalability and user experience.