We trained our large language models (LLM) models more effectively with NVIDIA DGX SuperPOD’s powerful performance—as well as NeMo’s optimized algorithms and 3D parallelism techniques… We considered using other platforms, but it was difficult to find an alternative that provides full-stack environments—from the hardware level to the inference level. - Hwijung Ryu, LLM Development Team Lead, KT Corporation
The 210 petaFLOPS Param Siddhi AI [supercomputer] equipped with DGX SuperPOD and indigenously developed HPC-AI engine, HPC-AI software frameworks, and cloud platform by C-DAC will accelerate experiments for solving India-specific grand challenges using science and engineering. - Dr. Hemant Darbari, Director General, Centre for Development of Advanced Computing (C-DAC)
This will allow researchers to perform quantum-accurate molecular simulations of proteins to help find cures to diseases like COVID-19. What would’ve taken more than 6,000 years will now only take a day. - Adrian Roitberg, Professor of Chemistry, University of Florida
The DGX SuperPOD is helping NAVER CLOVA to build state-of-the-art language models for Korean and Japanese markets and evolve into a strong AI platform player in the global market. - Suk Geun SG Chung, Head of COLVA CIC, Naver Corporation
The DGX Experience—in the Cloud The fastest way to get started using the DGX platform is NVIDIA DGX Cloud, a serverless AI-training-as-a-service platform purpose built for enterprises developing generative AI. Learn More