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NVIDIA Tesla K80 Free Shipping!

NVIDIA Tesla K80

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Mfr PN: 900-22080-0000-000
Our PN: NVDN5300015
Manufacturer: NVIDIA
Platform(s): Win

Availability: Usually ships in 2-business days or less.

List Price:$4,999.00

You Save: $649.01 (13%)


This product is for sale in North America only. Due to manufacturer's restrictions, Safe Harbor can not ship this product internationally.

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Quick Overview

A dual GPU board that combines 24 GB of memory with blazing fast memory bandwidth and up to 2.91 Tflops double precision performance with NVIDIA GPU Boost™, the Tesla K80 GPU is designed for the most demanding computational tasks. It's ideal for single and double precision workloads that not only require leading compute performance but also demands high data throughput.



Manufacturer Part Number: 900-22080-0000-000

The NVIDIA Tesla Accelerated Computing Platform is the leading platform for accelerating big data analytics and scientific computing. The platform combines the world's fastest GPU accelerators, the widely used CUDA parallel computing model, and a comprehensive ecosystem of software developers, software vendors, and datacenter system OEMs to accelerate discovery and insight. With advanced system management features, accelerated communication technology, and supported by popular infrastructure management software, the Tesla platform provides high performance computing professionals the tools to easily build, test, and deploy accelerated applications in the datacenter.

Delivered application performance is more than raw flops. Computational professionals depend on mission critical applications to accelerate discoveries and insights at scale. It starts with the world's fastest accelerators and includes a reliable infrastructure, the ability to monitor and manage that infrastructure, and the ability to quickly move data where it is needed. The NVIDIA Tesla Accelerated Computing Platform provides all of these to deliver unprecedented performance in scientific, analytics, engineering, consumer, and enterprise applications.


  • Up to 2.91 TFlops double precision performance and Up to 8.74 TFlops single precision performance on the Tesla K80 GPU Accelerator
  • Maximum performance for every application with NVIDIA GPU Boost Technology
  • Increased performance for large data sets with large on-board memory (24 GB on the Tesla K80 GPU Accelerator)
  • Increased throughput to ensure data is available when needed with fast memory bandwidth (480 GB/s on the Tesla K80 GPU Accelerator)
  • Uncompromised data reliability with Error Correcting Codes (ECC) protection for internal GPU memory and ECC plus Dynamic Page Retirement for external GDDR5 memory


  • Up to 2x faster application performance with NVIDIA NVLINK interconnect technology in future
  • Fast bi-directional communication with the dual DMA engines of Tesla GPU accelerators
  • Accelerated communication across nodes, with network and storage devices, and between GPUs using NVIDA GPUDirect


  • Easy monitoring and management of GPU clusters with NVIDIA system management tools
  • Enterprise-class InfiniBand, CUDA and OS drivers
  • High performance CUDA driver for Windows OS to reduce CUDA kernel overhead and to enable Windows Remote Desktop and Windows Services
  • Seamless application deployment with ISV Certification for Tesla GPU Accelerators
  • Zero error tolerance stress testing
  • Enterprise level support with three-year warranty for all Tesla products
  • Optional extended support for selected products


  • Part Number
    • 900-22080-0000-000
  • Number of GPUs
    • 2 x GK210
  • Memory size (GDDR5)
    • 24 GB
  • CUDA cores
    • 4992
  • Peak double precision floating point performance
    • 1.87 Tflops
  • Peak single precision floating point performance
    • 5.60 Tflops
  • Memory bandwidth (ECC off)
    • 480 GB/sec
  • GPU Computing Applications
    • Machine Learning and Data Analytics, Seismic Processing, Computational Biology and Chemistry, Weather and Climate Modeling, Image, Video, , Signal Processing, Computational Finance/Physics, CAE, and CFD
  • Architecture Features
    • SMX, Dynamic Parallelism, Hyper-Q
  • System
    • Servers


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