Nvidia Tesla Gpu Computing Server

Thinkmate gpx series include a selection of only the best most reliable server hardware for gpu computing.

Nvidia tesla gpu computing server.

These servers have been purpose built to accelerate a variety of applications across hpc deep learning machine learning and visualization applications. Nvidia tesla p100 taps into nvidia pascal gpu architecture to deliver a unified platform for accelerating both hpc and ai dramatically increasing throughput while also reducing costs. The 4028gr txrt is supermicro s most powerful gpu server delivering supercompute level performance for deep learning applications. The qualified server catalog provides you with easy access to gpu accelerated servers from our comprehensive partner network.

They are programmable using the cuda or opencl apis. Nvidia inventor of the gpu which creates interactive graphics on laptops workstations mobile devices notebooks pcs and more. From ai and data analytics to high performance computing hpc to rendering data centers are key to solving some of the most important challenges. We are the brains of self driving cars intelligent machines and iot.

The end to end nvidia accelerated computing platform integrated across hardware and software gives enterprises the blueprint to a robust secure infrastructure that supports develop to deploy implementations across all modern workloads. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. It s powered by nvidia volta architecture comes in 16 and 32gb configurations and offers the performance of up to 100 cpus in a single gpu. It includes 2 intel xeon e5 v4 cpus and 8 pascal generation tesla p100 gpus delivering 170 teraflops of performance in a 4u system with no thermal limitations.

We created the world s largest gaming platform and the world s fastest supercomputer. Download the filtered list in the tesla qualified server catalog to see more data. 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. Today s data centers rely on many interconnected commodity compute nodes which limits high performance computing hpc and hyperscale workloads.

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.