Enterprises are struggling to build out the infrastructure they need to tap into the power of AI at scale. Maintaining separate silos of data center AI infrastructure to address analytics, training, and inference workloads creates complexity, drives up costs, and constrains performance. The new NVIDIA DGX A100 system announced today is designed to unify AI workloads for training, inference and data analytics on one platform, simplify infrastructure, and accelerate ROI. DGX A100 is a universal building block for data center AI, supporting DL training, inferencing, data science and other high-performance workloads from a single platform.
Built using the new NVIDIA Ampere architecture, the DGX A100 system delivers up to six times the training performance of the prior generation, delivering the equivalent of a data center of compute infrastructure for analytics, training and inference, now consolidated in just a single system.
NetApp ONTAP AI will be among the first converged AI stacks to incorporate the DGX A100 and NVIDIA Mellanox networking.
“NetApp and NVIDIA have been collaborating for several years to deliver AI solutions that help enterprises accelerate AI adoption. Both companies are working on eliminating AI bottlenecks and advancing the realm of possibilities,” says Kim Stevenson, Sr. Vice President and General Manager, Foundational Data Services Business Unit, NetApp. “NetApp’s full stack AI/ML/DL platforms delivered at the edge, core and cloud with ONTAP AI complements NVIDIA’s rapidly expanding ecosystem of AI hardware, software, and development toolkits.”
“Enterprises are eager to move their AI projects more quickly from concept to production, and our collaboration with NetApp helps customers rapidly accelerate their AI adoption,” said Manuvir Das, Head of Enterprise Computing at NVIDIA. “Combining the power and capabilities of DGX A100, Mellanox networking, and NetApp cloud-connected storage, ONTAP AI provides an advanced, flexible platform for leading innovation in AI and data science.”
Santosh Rao is a Senior Technical Director and leads the AI & Data Engineering Full Stack Platform at NetApp. In this role, he is responsible for the technology architecture, execution and overall NetApp AI business. Santosh previously led the Data ONTAP technology innovation agenda for workloads and solutions ranging from NoSQL, big data, virtualization, enterprise apps and other 2nd and 3rd platform workloads. He has held a number of roles within NetApp and led the original ground up development of clustered ONTAP SAN for NetApp as well as a number of follow-on ONTAP SAN products for data migration, mobility, protection, virtualization, SLO management, app integration and all-flash SAN. Prior to joining NetApp, Santosh was a Master Technologist for HP and led the development of a number of storage and operating system technologies for HP, including development of their early generation products for a variety of storage and OS technologies.