Artificial intelligence is changing what storage and data management platforms look like.<\/p>\n
In collaboration with Super Micro Computer Inc. and Solidigm, DataDirect Networks Inc. has introduced DDN Enterprise AI HyperPOD, built on Nvidia Corp.\u2019s AI Data Platform<\/a>. The goal is to simplify the storage, scaling and deployment of AI inference for enterprise workloads.<\/p>\n \u201cCustomers are preferring best of breed, but that can often result in complexity,\u201d said Andrew Murphy<\/a> (pictured, right), senior director of product management at DDN. \u201cThe question is how can we help to offload that complexity from our customers so they can focus on what\u2019s most important, which is taking their data that they\u2019ve been generating over the years \u2026 [and] add context so that it can be ready for their AI factories.\u201d<\/p>\n Murphy, alongside Michael Ang<\/a> (left), director of storage solutions at Supermicro, and Pompey Nagra<\/a> (center), products and ecosystems lead at Solidigm, spoke with theCUBE\u2019s Rob Strechay<\/a>\u00a0for the Supermicro Open Storage Summit interview series<\/a>, during an exclusive broadcast on theCUBE, SiliconANGLE Media\u2019s livestreaming studio. They discussed the collaboration and new trends in enterprise AI. (* Disclosure below.)<\/p>\n One unified storage solution<\/p>\n While customers traditionally buy individual storage, networking and compute platforms and build their own solutions, that strategy often takes far too long, according to Ang. The better method, he argues, is to have one unified solution that enables organizations to start monetizing their data immediately.<\/p>\n \u201cThe number one challenge is [customers] still have the mindset of having to buy individual \u2014 compute, storage, networking \u2014 and put it together, but that takes a long time,\u201d Ang said. \u201cIn order to help them be successful in this area, the customer should focus on how do they get the right solutions with the right platforms such that \u2026 they can start utilizing it and start doing the AI workloads.\u201d<\/p>\n The HyperPOD collaboration can employ different types of flash memory to meet different AI tasks, Nagra added. Because solid-state drives reuse AI workloads without the need for recomputation, customers get more utilization out of their graphic processing units.<\/p>\n \u201cWe see the platforms change from being compute bound to storage bound, where LLMs need more data to more storage to enable the [key-value] cache data,\u201d Nagra said. \u201cThe SSD storage becomes a great value as it\u2019s capacity bound versus the [high-bandwidth memory] or primary memory, which requires greater amounts of recomputation for the same workload.\u201d<\/p>\n DDN worked closely with the Nvidia AI Data Platform reference design to offer a turnkey solution that reduces complexity for customers and can be deployed on premises, giving organizations greater control over security, governance and data residency. The technology also supports multi-tenancy, which means that multiple teams can share compute, networking and storage but keep their environments separate.<\/p>\n \u201cMost of the time the GPUs are sitting there idle, waiting for the data,\u201d Murphy said. \u201cThat\u2019s really what we\u2019re focused on from a DDN perspective \u2026 how do we make sure that we provide a fast path to fully utilize GPUs so that way customers can get the most out of their investments, they can get the most out of their data to further their initiatives.\u201d<\/p>\n Sovereign AI puts data control in focus<\/p>\n Companies and government organizations are increasingly seeking private or sovereign AI solutions, according to the panel. Nvidia\u2019s secure reference design offers that privacy and security, while still giving customers the opportunity to be flexible with how they handle their data.<\/p>\n \u201cIf you take a look at organizations, they\u2019ve always wanted to have control of their data, the IP, most importantly their costs,\u201d Nagra said. \u201cBeing able to control all these elements enables greater flexibility \u2026 and at the end of the day, lets them live in their governance that they\u2019ve orchestrated, whether it be on prem with the platforms provided by DDN and Supermicro, as well as in hybrid environments.\u201d<\/p>\n In addition to offering environmental flexibility, HyperPOD can also scale up as necessary, which minimizes cost exposure. Rather than having to commit to large numbers of expensive GPUs, customers can try out the solution with one rack and then add more when needed.<\/p>\n \u201cWe are able to design this complete AI data platform solution that allows the customer to expand from small, medium, large,\u201d Ang said. \u201cMeaning they can continue to run the business when they see there\u2019s a need for additional GPUs and storage utilizations. They can just pop in another rack next to it, connect the network cables, power it on, then continue online and serve customers.\u201d<\/p>\n Stay tuned for the complete video interview, part of SiliconANGLE\u2019s and theCUBE\u2019s coverage of the Supermicro Open Storage Summit interview series<\/a>.<\/p>\n (* Disclosure: TheCUBE is a paid media partner for the Supermicro Open Storage Summit interview series. Neither Supermicro, the sponsor of theCUBE\u2019s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)<\/p>\n Photo: SiliconANGLE<\/p>\n Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE\u2019s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.<\/p>\n 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE<\/a>, theCUBE Network<\/a>, theCUBE Research<\/a>, CUBE365<\/a>, theCUBE AI<\/a> and theCUBE SuperStudios \u2014 with flagship locations in Silicon Valley and the New York Stock Exchange \u2014 SiliconANGLE Media operates at the intersection of media, technology and AI.<\/p>\n Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.<\/p>\n","protected":false},"excerpt":{"rendered":"Artificial intelligence is changing what storage and data management platforms look like. 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