NVIDIA Shipping to India its Superpods that Allows Enterprises to Install AI Supercomputers in Few Weeks

NVIDIA today announced the NVIDIA DGX SuperPOD™ Solution for Enterprise, the world’s first turnkey AI infrastructure, making it possible for organizations to install incredibly powerful AI supercomputers with extraordinary speed — in many cases in just a few weeks’ time.

With size of about a medium suitcase, The DGX SuperPODs comes preinstalled with relevant parts and programs and comes with a fixed amount of system memory and GPU cards. These SuperPOD systems start at 100 petaflops of AI performance and can scale up to 700 petaflops to run the most complex AI workloads.

Available in cluster sizes ranging from 20 to 140 individual NVIDIA DGX A100™ systems, DGX SuperPODs are now shipping and expected to be installed in Korea, the U.K., Sweden and India before the end of the year.

“Traditional supercomputers can take years to plan and deploy, but the turnkey NVIDIA DGX SuperPOD Solution for Enterprise helps customers begin their AI transformation today,” said Charlie Boyle, vice president and general manager of DGX systems at NVIDIA. “State-of-the-art conversational AI, recommender systems and computer vision workloads rapidly exceed the capabilities of traditional infrastructure, and our new solution gives customers a fast track to the world’s most advanced, scalable AI infrastructure and NVIDIA expertise.”

Recently in India, C-DAC, the Centre for Development of Advanced Computing operating under the Ministry of Electronics and Information Technology in India (MeiTY), had announced that it is commissioning India’s fastest and largest HPC-AI supercomputer, called PARAM Siddhi – AI. Built with 42 DGX A100 systems, the supercomputer will help address nationwide and global challenges in healthcare, education, energy, cybersecurity, space, automotive and agriculture through research partnerships and collaboration across academia, industry and startups.

The cost of DGX SuperPOD system is estimated to be $38.4 million street price, which is about INR 28.1 Crores.

The first DGX-1 produced by NVIDIA was donated to Elon Musk co-founded nonprofit AI research firm OpenAI and gave nine other systems to universities with prominent deep-learning departments, including New York University, Stanford University, and the University of Toronto. NVIDIA DGX-1 is said to cost around US$ 129,000 (in 2016) which was about INR 1 Crore.

Nvidia’s CEO, Jen-Hsun Huang, delivers the first DGX-1 to Elon Musk’s OpenAI [Image ~ TechnologyReview.com]

NVIDIA has also separately announced about its plans to build Cambridge-1, an 80-node DGX SuperPOD with 400 petaflops of AI performance, which will be deployed by the end of the year and it will be the fastest supercomputer in the U.K. The system will be used for collaborative research within the U.K. AI and healthcare community across academia, industry and startups.

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