Nvidia Tesla Gpu Server

The nvidia data center gpu driver package is designed for systems that have one or more tesla products installed.

Nvidia tesla gpu server.

This release of the driver supports cuda c c applications and libraries that rely on the cuda c runtime and or cuda driver api. Mixed gpu configurations within a server are not supported the maximum number of supported tesla m10 and tesla m60 cards per system when using nvidia grid vgpu is two and four respectively. We are the brains of self driving cars intelligent machines and iot. Please contact oems for 3x m10 configuration.

Nvidia virtual gpu solutions support the modern virtualized data center delivering scalable graphics rich virtual desktops and workstations with nvidia virtual gpu vgpu software. Blade servers optimized for gpu computing with acoustically enhanced thermal and cooling technologies. The qualified server catalog provides you with easy access to gpu accelerated servers from our comprehensive partner network. These servers have been purpose built to accelerate a variety of applications across hpc deep learning machine learning and visualization applications.

Thinkmate gpx series include a selection of only the best most reliable server hardware for gpu computing. To promote the optimal server for each workload nvidia has introduced gpu accelerated server platforms which recommends ideal classes of servers for various training hgx t inference hgx i and supercomputing scx applications. Find the right nvidia tesla gpu for your workload. It supports 64 desktops per board and 128 desktops per server giving businesses the power to deliver great experiences to all of their employees at an affordable cost.

With expansion chassis sxm form factor nvlink with quadro. We created the world s largest gaming platform and the world s fastest supercomputer. Nvidia tesla was the name of nvidia s line of products targeted at stream processing or general purpose graphics processing units gpgpu named after pioneering electrical engineer nikola tesla its products began using gpus from the g80 series and have continued to accompany the release of new chips. Capable of running compute intensive server workloads including ai deep learning data science and hpc on a virtual machine these solutions also leverage the.

They are programmable using the cuda or opencl apis. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. Tesla qualified server catalog find where to buy an nvidia tesla gpu through our partner network. Download the filtered list in the tesla qualified server catalog to see more data.