
Paresh Kharya
Paresh Kharya is senior director of product management and marketing for accelerated computing at NVIDIA. He is responsible for the messaging and positioning of NVIDIA’s data center products, including server GPUs and its computing software platform for AI and HPC. Previously, Paresh held a variety of business roles in the high-tech industry, including product management at Adobe and business development at Tech Mahindra. Paresh has an MBA from the Indian Institute of Management and a BS in computer science from the National Institute of Technology, India.
All the Way to 11: NVIDIA GPUs Accelerate 11.11, World’s Biggest Online Shopping Event
Putting AI to work on a massive scale, Alibaba recently harnessed NVIDIA GPUs to serve its customers on 11/11, the year’s largest shopping event. During Singles Day, as the Nov…. Read Article
Record 136 NVIDIA GPU-Accelerated Supercomputers Feature in TOP500 Ranking
The new wave of supercomputers is largely GPU accelerated, the latest TOP500 list of the world’s fastest systems shows. Of the 102 new supercomputers to join the closely watched ranking,… Read Article
NVIDIA Shows Its Prowess in First AI Inference Benchmarks
Those who are keeping score in AI know that NVIDIA GPUs set the performance standards for training neural networks in data centers in December and again in July. Industry benchmarks… Read Article
What’s the Difference Between Developing AI on Premises and in the Cloud?
Choosing between an on-premises GPU system and the cloud is a bit like deciding between buying or renting a home. Renting takes less capital up front. It’s pay as you… Read Article
Frontera’s New Frontier: Fastest Academic Supercomputer Wields NVIDIA GPUs for Science Research
Everything’s bigger in Texas — supercomputers included. The Texas Advanced Computing Center today launched Frontera, the most powerful academic supercomputer in the world, now featuring two subsystems powered by some… Read Article
NVIDIA Breaks Eight AI Performance Records
You can’t be first if you’re not fast. Inside the world’s top companies, teams of researchers and data scientists are creating ever more complex AI models, which need to be… Read Article