"Building High-Performance Computing capabilities for robust AI infrastructure"

August 2020, NVIDIA CEO Jensen Huang declared that AI is "the single most impressive pressure of our time". And this particular sentiment echoes across the leadership of a multi-billion-dollar technology company.

Managing Director of NVIDIA South Asia, Vishal Dhupar previously held prominent positions in Symantec, Autodesk, Sun Microsystems, and others lead the company's company business which includes sales, advertising, operations, and channels for South Asia and India, believes NVIDIA's journey from the inception of its in 1993 has been one marked by 'constant reinvention. From dominating the PC gaming market to parallel computing and so AI, NVIDIA has maintained its fundamental spirit of solving important and tough challenges with technologies, by becoming a 'learning machine'. Microprocessor overall performance in the previous 3 years grew at 50% per annum, but CPU overall performance comes with limits. With the skyrocketing need for smart, data-driven items, computing speed has to be way more often. Innovation takes place at this particular intersection of High-Performance Computing, graphics, & Artificial Intelligence.

At the company’s flagship occasion GTC (that was digitally hosted in May 2020), involving various other significant announcements, NVIDIA announced NVIDIA A100 - the first GPU designed on NVIDIA Ampere along with the ability to deliver 20 times its overall performance of the predecessors of its, provides data analytics, graphics, and computing - which is used by 18 service providers like Dell technologies, Microsoft Azure, Cisco, Alibaba Cloud, HP, Dell Technologies, Baidu Cloud, Oracle, Amazon Web Services, and also Google Cloud.

 This brings the data center to an advantage. Currently, Ampere is a singular architecture that defines the main workloads of Machine Learning seamlessly. It is able to deal with cases where humungous computational power is needed.

Other high compute AI offerings include Jarvis – the application framework for multi-modal AI services for real-time performance of GPUs and Merlin, for building high-performance, deep learning-based recommender systems.

India has huge potential for the vast, growing suite of solutions and products being offered by NVIDIA. For India to fully realize its AI potential, a strong computing infrastructure has to be built. This is important for solving problems in the different domains like healthcare, education, & governance. The job we do at NVIDIA is to help develop strong data structures for Bharat. NVIDIA is extensively interested with India's policymakers, research, government organizations, & academics, additionally to fostering important aspects with technology stakeholders and startups. A detailed, 360-degree strategy is necessary to nurture collaboration. In July 2020, NVIDIA and IIT Hyderabad moved into a partnership to create India's very first AI Technology Center to accelerate research on AI and its business adoption. A comparable partnership was struck with IIT Jodhpur to release the Center for Next Generation AI Research (AINEXT), using the goal of the pioneering study and improve next-generation AI devices for healthcare, farming, and public infrastructure involving others.  

As the COVID19 healthcare crisis continues to spiral across the world, this is a definitive time in modern history. The ongoing pandemic has taught us we have to be ready for any eventuality. This's the perfect moment to augment our builders and engineers with the proper capabilities, infrastructure to innovate for a new, unprecedented future. We have the skill, opportunities, infrastructure, and tech-conducive government.