{"id":418690,"date":"2021-01-21T09:03:15","date_gmt":"2021-01-21T14:03:15","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=418690"},"modified":"2021-01-21T09:03:15","modified_gmt":"2021-01-21T14:03:15","slug":"vast-data-unveils-joint-reference-architecture-with-nvidia-designed-to-significantly-increase-storage-performance-for-large-scale-ai-workloads","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/vast-data-unveils-joint-reference-architecture-with-nvidia-designed-to-significantly-increase-storage-performance-for-large-scale-ai-workloads\/","title":{"rendered":"VAST Data Unveils Joint Reference Architecture with NVIDIA Designed to Significantly Increase Storage Performance for Large-Scale AI Workloads"},"content":{"rendered":"

\nState-of-the-Art Architecture Incorporates NVIDIA\u2019s DGX A100 AI Systems and the VAST Universal Storage Platform to Deliver a Petabyte-Scale AI Infrastructure Solution for GPU-Intensive and Storage-Intensive AI Workloads
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NEW YORK, Jan. 21, 2021 (GLOBE NEWSWIRE) — VAST Data<\/u><\/a>, the storage company breaking decades-old tradeoffs, today announced a new reference architecture based on NVIDIA DGX\u2122<\/u><\/a>\u00a0A100<\/u><\/a> systems and VAST Data\u2019s Universal Storage platform. This reference architecture is designed to significantly increase storage performance for AI use cases such as large-scale training of conversational AI models and petabyte-scale data analytics. Jointly designed, built and tested by NVIDIA and VAST Data, the reference architecture eliminates the guesswork of building a solution from the ground up by providing enterprises with a turnkey petabyte-scale AI infrastructure solution that maximizes performance without adding needless cost and complexity.<\/p>\n

Historically, enterprises have been forced to choose between two specific infrastructure configurations based on workload (i.e. GPU-intensive or storage-intensive), but as applications and data science teams\u2019 requirements evolve, that infrastructure choice may limit and negatively impact performance. Built on VAST Data\u2019s recently released LightSpeed<\/u><\/a> platform and NVIDIA\u2019s universal AI system, DGX A100, the architecture leverages VAST\u2019s unique capabilities such as NFS-over-RDMA, NFS Multipath, and support for NVIDIA GPUDirect Storage as well as a converged fabric design. The joint reference architecture delivers more than 140GB\/s of throughput for both GPU-intensive and storage-intensive AI workloads.<\/p>\n

\u201cFor the first time, enterprises, and more importantly data science teams, are no longer constrained by the limitations of rigid infrastructure configurations,\u201d said Jeff Denworth, Co-founder and CMO at VAST Data. \u201cWe\u2019ve worked with NVIDIA on this new reference architecture, built on our LightSpeed platform, to provide customers a flexible, turnkey, petabyte-scale AI infrastructure solution and to remove the variables that have introduced compromise into storage environments for decades.\u201d<\/p>\n

\u201cAI workloads require specialized infrastructure, which is why we\u2019ve worked with VAST Data, a new member of the NVIDIA DGX POD ecosystem, to combine their storage expertise with our deep background in optimizing platforms for AI excellence,\u201d said Tony Paikeday, Senior Director of AI Systems at NVIDIA. \u201cThis new reference architecture provides customers with a winning formula to achieve their AI success.\u201d<\/p>\n

For more information on VAST\u2019s GPU Reference Architecture, including specific tests showcasing both infrastructure level microbenchmarks as well as benchmarks representative of real-world AI training workloads, please visit https:\/\/vastdata.com\/gpu-reference-architecture\/<\/u><\/a>. VAST and NVIDIA will also be participating in a webinar with IDC, \u201cSmart Coupling of Next Generation AI Computing with Hyperscale Low-Cost Flash,\u201d on Thursday, January 21 at 1 pm ET. For more details on the groups\u2019 participation and to register for the event, please click here<\/u><\/a>.<\/p>\n

\n VAST Data AI-Ready Ecosystem Quotes <\/strong>\n <\/p>\n

Organizations looking to take advantage of AI can now access AI assessments to guide them as they build out and deploy high-throughput AI architectures based on NVIDIA DGX systems and VAST LightSpeed storage with the following resellers today.<\/p>\n

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\n Mark III Systems<\/u>
\n <\/strong>
\n <\/a>
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\u201cWe offer a diverse and unique portfolio of full stack technology platforms. As our team of data scientists, DevOps, and solution architects work with enterprises to build out and manage their applications and pipelines from end to end, we are constantly looking for ways to provide the performance needed for innovative organizations. We\u2019re seeing significant interest with VAST in multi-petabyte solutions looking to increase technology adoption while removing complexity.\u201d – Stan Wysocki, President at Mark III Systems<\/strong><\/p>\n

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\n Trace3<\/u>
\n <\/strong>
\n <\/a>
\n
\u201cOur customers are increasingly looking to AI to provide meaningful insights to give them a competitive advantage and deliver a better experience to their customers. At Trace3, we are helping our customers at every level of what it takes to make AI impactful. With NVIDIA\u2019s DGX A100 and VAST\u2019s Universal Storage Platform, our customers can focus on the business problem and be completely free of worry about the limitations of their infrastructure. VAST Data\u2019s LightSpeed with NVIDIA\u2019s DGX A100 systems allow them to unleash the full potential of their data \u2013 from ingest to insights.\u201d – Matt Fornito, Head of AI at Trace3 <\/strong><\/p>\n

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\n Cambridge Computer Services <\/u>
\n <\/strong>
\n <\/a>
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\u201cProviding clients the resources, ideas, and expertise needed to leverage cutting-edge technologies to drive their business forward is our core tenet. We’re constantly identifying new capabilities that can help our clients optimize their workflows and overcome the cost, capacity, scale, and resilience challenges they’ve been facing for decades. VAST and NVIDIA’s joint reference architecture provides these capabilities for mission-critical enterprises that want to transcend the limitations of rigid infrastructure configurations.” – Jose Alvarez, Director of Industrial and Scientific Computing at Cambridge Computer Services <\/strong><\/p>\n

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\n UClick<\/u>
\n <\/strong>
\n <\/a>
\n
\u201cWe continue to work towards solving the data processing bottleneck that has emerged as a concern for many of our customers as they build out and operate their AI data centers. VAST\u2019s best-in-class performance combined with NVIDIA\u2019s DGX A100 systems have paved the way for GPU-efficient computing using the industry standard NFS file system and has eliminated all bottlenecks. With this new reference architecture, we can further strengthen our AI solution lineup and provide our Korean customers with the latest and greatest as they look to maximize the value of their data.\u201d – Namhan Eom, CEO of UClick<\/strong><\/p>\n

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\n XENON Systems<\/u>
\n <\/strong>
\n <\/a>
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\u201cProviding our customers with the right technologies to drive outcomes for their clients has remained an important focus of ours. We recognize that data-intensive AI will always be a big part of that strategy. With NVIDIA\u2019s DGX A100 servers and VAST\u2019s Universal Storage Platform we can provide a petabyte-scale AI infrastructure solution for GPU-intensive and storage-intensive AI workloads.\u201d – Dragan Dimitrovici, CEO XENON Systems<\/strong><\/p>\n

\n About VAST Data<\/strong>
\n
Headquartered in New York City, VAST Data is a storage company bringing an end to complex storage tiering and HDD usage in the enterprise. VAST consolidates applications onto a highly scalable all-flash storage system to meet the performance needs of the most demanding workloads, while also redefining the economics of flash infrastructure to finally make it affordable enough to store all of your data on flash. Since its launch in February 2019, VAST has established itself as the fastest selling storage startup in history. VAST\u2019s Universal Storage now powers several of the world\u2019s leading data centric computing centers. For more information, please visit https:\/\/www.vastdata.com<\/u><\/a> and follow VAST Data on Twitter<\/u><\/a> and LinkedIn<\/u><\/a>.<\/p>\n

\n Media Contact<\/strong>
\n
Highwire PR for VAST Data
vastdata@highwirepr.com<\/a><\/u><\/p>\n


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\n \n <\/div>\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

State-of-the-Art Architecture Incorporates NVIDIA\u2019s DGX A100 AI Systems and the VAST Universal Storage Platform to Deliver a Petabyte-Scale AI Infrastructure Solution for GPU-Intensive and Storage-Intensive AI Workloads NEW YORK, Jan. 21, 2021 (GLOBE NEWSWIRE) — VAST Data, the storage company breaking decades-old tradeoffs, today announced a new reference architecture based on NVIDIA DGX\u2122\u00a0A100 systems and VAST Data\u2019s Universal Storage platform. This reference architecture is designed to significantly increase storage performance for AI use cases such as large-scale training of conversational AI models and petabyte-scale data analytics. Jointly designed, built and tested by NVIDIA and VAST Data, the reference architecture eliminates the guesswork of building a solution from the ground up by providing enterprises with a turnkey petabyte-scale AI infrastructure solution … <\/p>\n

Continue reading “VAST Data Unveils Joint Reference Architecture with NVIDIA Designed to Significantly Increase Storage Performance for Large-Scale AI Workloads”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-418690","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nVAST Data Unveils Joint Reference Architecture with NVIDIA Designed to Significantly Increase Storage Performance for Large-Scale AI Workloads - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/vast-data-unveils-joint-reference-architecture-with-nvidia-designed-to-significantly-increase-storage-performance-for-large-scale-ai-workloads\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"VAST Data Unveils Joint Reference Architecture with NVIDIA Designed to Significantly Increase Storage Performance for Large-Scale AI Workloads - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"State-of-the-Art Architecture Incorporates NVIDIA\u2019s DGX A100 AI Systems and the VAST Universal Storage Platform to Deliver a Petabyte-Scale AI Infrastructure Solution for GPU-Intensive and Storage-Intensive AI Workloads NEW YORK, Jan. 21, 2021 (GLOBE NEWSWIRE) — VAST Data, the storage company breaking decades-old tradeoffs, today announced a new reference architecture based on NVIDIA DGX\u2122\u00a0A100 systems and VAST Data\u2019s Universal Storage platform. 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This reference architecture is designed to significantly increase storage performance for AI use cases such as large-scale training of conversational AI models and petabyte-scale data analytics. 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