Name: Nvidia K20
Brand: Cisco
Price: 11329.95 USD
Availability: InStock

Cisco UCSC-GPU-K20 Nvidia K20

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$11,329.95

Ships from outside of the USA. Please allow up to 2 weeks for delivery.

In Stock: 1
Manufacturer: Cisco
Model or Part: UCSC-GPU-K20
Condition: Refurbished
Weight: 2.00lb
Dimensions: 1.00in x 1.00in x 1.00in

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Product Information

Item Condition

New - Sealed or Open Box Condition
Excellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item

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Description

Overview

The Cisco UCSC-GPU-K20 is a high-performance accelerator card that integrates Nvidia K20 GPU technology into Cisco Unified Computing System (UCS) environments. Designed for compute-intensive workloads, this card delivers massive parallel processing power while maintaining the reliability and manageability standards of Cisco infrastructure. It enables data centers to accelerate scientific simulations, deep learning, and big data analytics without compromising on power efficiency or thermal management.

Key Features

Based on Nvidia Kepler architecture for high throughput and energy efficiency
16 GB GDDR5 memory with 5 GB/s memory bandwidth per GPU
Supports up to 2,560 CUDA cores for parallel processing
PCIe Gen3 x16 interface for maximum data transfer rates
Integrated with Cisco UCS management tools for seamless provisioning and monitoring
Optimized cooling solution compatible with Cisco UCS chassis
Supports Nvidia CUDA, OpenCL and OpenACC programming models

Technical Specifications

GPU Model: Nvidia K20
CUDA Cores: 2,560
GPU Memory: 16 GB GDDR5
Memory Bandwidth: 5 GB/s per GPU
Peak Single Precision Performance: 3.5 TFLOPS
Peak Double Precision Performance: 1.0 TFLOPS
Form Factor: Full height, full length PCIe card
Power Consumption: 225 W typical
Operating Temperature: 0 to 85 deg C
Supported OS: Linux, Windows Server, VMware ESXi

Typical Applications

High performance computing (HPC) simulations in physics, chemistry and engineering
Deep learning model training and inference for AI research
Big data analytics and real-time data processing
Financial modeling and risk analysis requiring massive parallel calculations
Scientific visualization and rendering workloads
Virtual desktop infrastructure (VDI) acceleration for graphic-intensive sessions