Nvidia Tesla Gpu Server

Tesla qualified server catalog find where to buy an nvidia tesla gpu through our partner network.

Nvidia tesla gpu server.

Thinkmate gpx series include a selection of only the best most reliable server hardware for gpu computing. 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. They are programmable using the cuda or opencl apis. 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.

Find the right nvidia tesla gpu for your workload. The qualified server catalog provides you with easy access to gpu accelerated servers from our comprehensive partner network. 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. Nvidia virtual gpu solutions support the modern virtualized data center delivering scalable graphics rich virtual desktops and workstations with nvidia virtual gpu vgpu software.

Please contact oems for 3x m10 configuration. With expansion chassis sxm form factor nvlink with quadro. The nvidia data center gpu driver package is designed for systems that have one or more tesla products installed. Blade servers optimized for gpu computing with acoustically enhanced thermal and cooling technologies.

These servers have been purpose built to accelerate a variety of applications across hpc deep learning machine learning and visualization applications. We are the brains of self driving cars intelligent machines and iot. Download the filtered list in the tesla qualified server catalog to see more data. Supported nvidia data center gpus.

Capable of running compute intensive server workloads including ai deep learning data science and hpc on a virtual machine these solutions also leverage the. We created the world s largest gaming platform and the world s fastest supercomputer. This release of the driver supports cuda c c applications and libraries that rely on the cuda c runtime and or cuda driver api. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads.