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NetApp Teams with NVIDIA to Accelerate AI and HPC Infrastructure

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NetApp, a global, cloud-led, data-centric software company, 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. Since 2018, 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. 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.



How NetApp & NVIDIA Can Accelerate Your AI Journey NetApp Blog

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Visionaries in virtually all industries are looking for ways to apply artificial intelligence (AI) to enable new customer touchpoints, reinvent the customer experience, drive business value--and even change the world. Of the many AI use cases in development, here are a few we're focused on: Unfortunately, many organizations still underestimate how much AI depends on an ability to marshal and manage vast quantities of data. To help put your deep learning projects on a path to achieve real business impact, NetApp is today announcing NetApp ONTAP AI proven architecture. Powered by NVIDIA DGX supercomputers and NetApp all-flash storage, ONTAP AI lets you simplify, accelerate, and scale the data pipeline needed for AI to gain deeper understanding in less time. For example, adding a few sensors to an asthma inhaler opens a huge opportunity to correlate usage and location information among patients.


NVIDIA and Partners Bring AI Supercomputing to Enterprises NVIDIA Blog

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Academia, hyperscalers and scientific researchers have been big beneficiaries of high performance computing and AI infrastructure. Yet businesses have largely been on the outside looking in. NVIDIA DGX SuperPOD provides businesses a proven design formula for building and running enterprise-grade AI infrastructure with extreme scale. The reference architecture gives businesses a prescription to follow to avoid exhaustive, protracted design and deployment cycles and capital budget overruns. It's available as a consumable solution that now integrates with the leading names in data center IT -- including DDN, IBM, Mellanox and NetApp -- and is fulfilled through a network of qualified resellers.


AI, AI, Pure: Nvidia cooks deep learning GPU server chips with NetApp

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NetApp and Nvidia have introduced a combined AI reference architecture system to rival the Pure Storage-Nvidia AIRI system. It is aimed at deep learning and, unlike FlexPod (Cisco and NetApp's converge infrastructure), has no brand name. Unlike AIRI, neither does it have its own enclosure. A NetApp and Nvidia technical whitepaper – Scalable AI Infrastructure Designing For Real-World Deep Learning Use Cases (PDF) – defines a reference architecture (RA) for a NetApp A800 all-flash storage array and Nvidia DGX-1 GPU server system. There is a slower and less expensive A700 array-based RA.