Tesla Gpu Servers

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.

Tesla gpu servers.

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. 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. The qualified server catalog provides you with easy access to gpu accelerated servers from our comprehensive partner network. Browse tesla p40 servers pascal based gpus for the data center tesla p100 servers pascal based gpus for the data center tesla v100 servers new.

With support for nvidia tesla gpus the these computing platforms offer the power to solve the most computationally intensive challenges. A dgx 1 with tesla v100 chips. These cloud servers are adapted to the needs of machine learning and deep learning. Since it is integrated into the ovhcloud solution you get the advantages of on demand resources and hourly billing.

Production ready deepdetect deep learning server with gpu support rest api and pre trained models. Gpu instances integrate nvidia tesla v100 graphic processors to meet the requirements of massively parallel processing. Deepdetect is an open source server and rest api to bring full deep learning into production with application to images text and raw data alike. Available in dell emc poweredge servers including vrtx t440 t640 r640 r6515 r740 r740xd r7525 r7425 r7515 r6525 c6525 r840 r940xa c4140 dss 8440 and in hpc and ai solutions.

It s not just a blow for people building their own servers and data centers it s a blow for any computer manufacturer such as hpe or dell that hoped to flog gpu accelerated servers using gtx or titan hardware much cheaper than nvidia charges for say its expensive dgx family of gpu accelerated servers. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. These servers have been purpose built to accelerate a variety of applications across hpc deep learning machine learning and visualization applications. See the quadro rtx 6000.

Overview pricing usage support reviews. They are programmable using the cuda or opencl apis. The serversdirect gpu platforms utilize nvidia solutions to deliver double precision performance that is both cost effective and energy efficient.