Items tagged with dgx-1

Soon after unveiling the Tesla V100 data center GPU based on its next-generation Volta architecture at GTC 2017, NVIDIA CEO Jen Hsun Huang announced an updated, Volta-infused DGX-1 server appliance for deep learning data center deployment, along with a totally new product, the NVIDIA DGX Station, that’s being dubbed a ‘Personal AI Supercomputer’.The new NVIDIA DGX-1 is similar to the previous generation offering based on Pascal, but is powered by eight Tesla V100s GPUs, linked together via next-gen NVIDIA NVLink interconnect technology that ups the bandwidth per GPU to 300GB/s. The rest of the system consists of dual, 20-core Intel Xeon E5-2698 CPUs, 512GB of RAM, four 1.92TB SSDs in RAID 0,... Read more...
Artificial intelligence is at the center of several evolving and next-generation products and services, everything from video games and smartphones (virtual digital assistants and messaging) to self-driving cars and web searchers. It has the attention of companies small and large, including NVIDIA and Microsoft, the two of which are partnering to push AI technologies more aggressively into the enterprise. What this essentially boils down to is pairing NVIDIA's DGX-1 supercomputer with Microsoft's Azure cloud platform. The idea is to "help companies join the AI revolution" and this partnership means enterprises now have an AI platform that spans from their data center to Microsoft's cloud. "Every... Read more...
Yesterday, during his keynote address at GTC 2016, NVIDIA CEO Jen-Hsun Huang made a number of interesting announcements and disclosures. We saw Apple co-founder Steve “Woz” Wozniak take a virtual tour of Mars and witnessed the official unveiling of NVIDIA’s Tesla P100, which is based on the company’s bleeding-edge, GP100 GPU. GP100 leverages NVIDIA’s forward-looking Pascal GPU architecture and features 16GB of HBM2 memory, all built using TSMC’s 16nm FinFET manufacturing process. The GP100 is massive with a 600mm2 die, which is about the size of current gen high-end Maxwell GPUs, though when you consider it's built on 16nm process technology, it's obvious Tesla's compute resources are massive,... Read more...