NetApp® announced that NetApp EF600 all-flash NVMe storage combined with the BeeGFS parallel file system is now certified for NVIDIA DGX SuperPOD™. The new certification simplifies artificial intelligence (AI) and high-performance computing (HPC) infrastructure to enable faster implementation of these use cases.
NetApp and NVIDIA have served hundreds of customers with a range of solutions, from building AI Centers of Excellence to solving massive-scale AI training challenges. The qualification of NetApp EF600 and BeeGFS file system for DGX SuperPOD is the latest addition to a complete set of AI solutions that have been developed by the companies.
Ravi Chhabria, Managing Director at NetApp India, said, “The NetApp and NVIDIA alliance has delivered industry-leading innovation for years, and this new qualification for NVIDIA DGX SuperPOD builds on that momentum,” “As performance and data demands are exploding, NVIDIA DGX SuperPOD, coupled with ONTAP AI platform and DGX Foundry AI service, ensures our customers get the best-in-class model training infrastructure, with the full support of AI industry leaders.”
Charlie Boyle, Vice President of DGX systems at NVIDIA, said, “Organizations modernizing their business with AI and HPC need performance, flexibility and choice as they architect their infrastructure,” “Our collaboration with NetApp enables customers building their own AI Centers of Excellence to now choose NetApp storage for their NVIDIA DGX SuperPOD, as well as use the same leading platform available as hosted infrastructure through NVIDIA DGX Foundry.”
Broad Portfolio of AI Infrastructure Solutions
NetApp’s portfolio of NVIDIA-accelerated solutions includes ONTAP AI to eliminate guesswork for faster adoption by using a field-proven reference architecture as well as a preconfigured, integrated solution that is easy to procure and deploy in a turnkey manner.
Also included is NVIDIA DGX Foundry, which features NVIDIA Base Command software and NetApp Keystone Flex Subscription. This combination provides a world-class hosted infrastructure solution for businesses and their data scientists who need a premium AI development experience without the struggle of building it themselves.
Ritu Jyoti, Group Vice President, AI/Automation Research & Advisory at IDC, said, “The AI lifecycle focus has moved up the development stack and away from the infrastructure management, driving the need for converged solutions and services that make it easier for organizations to simplify their infrastructure investments for AI use cases deployments.”
