At the beginning of its SC20 supercomputing conference, Nvidia unveiled its 80GB version of the A100 GPU (graphics processing unit) based on its Ampere graphics architecture and aimed at AI and graphics for supercomputing. The chip is intended to enable faster real-time data analysis for business and government applications. This new version doubles the memory of the predecessor, debuted six months ago. Nvidia executive Paresh Kharya noted that 90 percent of the world’s data was created in the last two years. Continue reading Nvidia Debuts New Version of A100 GPU for Supercomputers

The University of Florida (UF) and Nvidia joined forces to enhance the former’s HiPerGator supercomputer with DGX SuperPOD architecture. Set to go online by early 2021, HiPerGator will deliver 700 petaflops (one quadrillion floating-point operations per second), making it the fastest academic AI supercomputer. UF and Nvidia said the HiPerGator will enable the application of AI to a range of studies, including “rising seas, aging populations, data security, personalized medicine, urban transportation and food insecurity.” Continue reading Nvidia and University of Florida Partner on AI Supercomputer

Nvidia unveiled its A100 artificial intelligence chip, which houses 54 billion transistors and can execute 5 petaflops of performance, about 20 times more than the company’s previous Volta chip. Chief executive Jensen Huang, who revealed it during his Nvidia GTC keynote address, dubbed it “the ultimate instrument for advancing AI.” The original March 24 introduction was postponed due to the COVID-19 pandemic. Nvidia also unveiled the DGX A100 system, the third generation of Nvidia’s AI DGX platform, which uses the new chips. The DGX A100 is now shipping. Continue reading Nvidia A100: Powerful New Chipset Created for Advancing AI