Pure\nStorage has announced a host of new and improved AI solutions that provide\nenterprise customers with the features and functionality needed to execute\nincreasingly complex AI initiatives through any phase or scale. <\/p>\n\n\n\n
Built\non Pure\u2019s industry-leading file and object system, FlashBlade, and its joint\nAI-Ready Infrastructure (AIRI) offering with NVIDIA, customers can develop and\ndeploy AI rapidly to keep pace with modern business.<\/p>\n\n\n\n
\u201cEnterprise\norganisations that have existed and done business one way for decades now find\nthemselves working hard to build a business for the future. To truly compete\ngoing forward will require large-scale, multi-phase AI initiatives, and Pure\nhas innovated with that particular set of challenges in mind, said Amy Fowler,\nVP of Strategy and Solutions for FlashBlade at Pure Storage. <\/p>\n\n\n\n
Powering the Artificial Intelligence\nPipeline – AI Data Hub<\/strong><\/p>\n\n\n\n Built\nwith industry leader and long-time partner NVIDIA, AI Data Hub is an end-to-end\nAI pipeline solution that gives enterprise customers what they need to design,\ndevelop and deploy AI quickly, and at scale. <\/p>\n\n\n\n Organisations\ntoday are stuck with a siloed, traditional analytics infrastructure. AI Data\nHub extends traditional analytics and provides more performance and security at\na lower cost. Data scientists can expect major improvements in productivity,\nfaster time-to-market, and more informed data-driven models.<\/p>\n\n\n\n \u201cWith AIRI powered by NVIDIA DGX systems\nand Pure Storage Flashblade, NVIDIA and Pure have been making it faster, easier\nand more cost-effective for every enterprise to deploy and manage AI at scale,\u201d\nsaid Charlie Boyle, Vice President and General Manager of DGX systems at\nNVIDIA. <\/p>\n\n\n\n \u201cThe AI Data Hub increases the value of\nour joint solutions by accelerating data science workflows, powered by NVIDIA\nCUDA-X AI software and DGX systems for faster iteration, with greater developer\nproductivity and accelerated time-to-insight.<\/strong>\u201d<\/p>\n\n\n\n Companies\nlike Element AI, a global provider of AI software, require rapid access to\nmassive amounts of data through the entire lifecycle of a project. <\/p>\n\n\n\n \u201cElement AI leverages Pure\nStorage to help IT professionals understand how to integrate AI science\nprojects into the mainstream data centre and to reduce overall complexity for\nour customers,\u201d said Ludwig Gamache, Head of IT at Element AI. \u201cAdvanced\nenterprises are looking for an AI solution beyond what\u2019s largely available\ntoday. Pure Storage delivers not only fast access, but also a secure and\nreliable AI Data Hub for our development pipeline.\u201d<\/p>\n\n\n\n From\ncleansing and tagging, through modeling, training and production, AI Data Hub\nstreamlines deployment for an entire AI pipeline instead of a single phase and\neliminates risk of failure when scaling from proof-of-concept to production. AI\nData Hub is an end-to-end solution, from ingestion to inference, orchestrated\nby Kubernetes. It has three stages:<\/p>\n\n\n\n \u201cWhen we talk to AI\ninnovators, the conversation involves the entire AI pipeline, from\ninfrastructure and management to orchestration and deployment into production,\u201d\nsaid Mike Leone, Senior Analyst, Enterprise Strategy Group. \u201cThere are\nsignificant gaps across the AI pipeline and because of that somewhere in the\nrange of 80% of AI initiatives fail when moving from pilot to production at\nscale. AI Data Hub helps address the full AI spectrum for Pure customers, and\narms them with what they need to move beyond simply training models to handling\nbatch and streaming data at any scale.\u201d<\/p>\n\n\n\n Making AI accessible for everyone \u2014\nAIRI-as-a-Service<\/strong><\/p>\n\n\n\n In\naddition to AI Data Hub, Pure Storage has announced the availability of\nAIRI-Ready Datacenters, a group of partners to help companies that do not\ndirectly manage their own AI infrastructure. Designed to help customers\nleverage AI for innovation, the programme provides a wide range of services\nfrom managed IT to colocation, try and buy, managed services and true\nSoftware-as-a-Service built on AIRI. <\/p>\n\n\n\n AI projects that\nstart in the public cloud but grow quickly can become too costly. Customers\nthat want to move from the cloud to dedicated storage can do so without giving\nup the benefits of cloud. AIRI-as-a-Service is available through partners like\nCore Scientific, an Elite Level Partner within Pure’s Managed Service Provider\n(MSP) Program. <\/p>\n\n\n\n \u201cModern organisations\nwant to leverage the cloud, but most public clouds available today aren\u2019t\noptimised for the requirements of AI. We\u2019ve designed a cloud purpose-built for\ndata-intensive applications like AI and deep learning, built on top of AIRI,\u201d\nsaid Kevin\nTurner, CEO, Core Scientific. \u201cWith AIRI at its core,\nour cloud equips and enables data scientists to take on the world\u2019s most\nadvanced AI challenges.\u201d <\/p>\n\n\n\n For\ncustomers that want an owned AIRI system but aren\u2019t equipped to support it\non-site, select partner colocation providers are equipped to support any AI\ninitiatives built on Pure technology.<\/p>\n","protected":false},"excerpt":{"rendered":" Pure Storage has announced a host of new and improved AI solutions that provide enterprise customers with the features and functionality needed to execute increasingly complex AI initiatives through any phase or scale. Built on Pure\u2019s industry-leading file and object system, FlashBlade, and its joint AI-Ready Infrastructure (AIRI) offering with NVIDIA, customers can develop and […]<\/p>\n","protected":false},"author":18,"featured_media":42986,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4115,809,3629,6205,79],"tags":[3211,10583,10582,5268,3735,48,5139,841],"class_list":["post-42985","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligent-technology-newsletter","category-more-news","category-newsletter","category-storage","category-used","tag-ai","tag-ai-pipeline","tag-core-scientific","tag-enterprise-strategy-group","tag-flashblade","tag-infrastructure","tag-nvidia","tag-pure-storage"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/42985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/comments?post=42985"}],"version-history":[{"count":11,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/42985\/revisions"}],"predecessor-version":[{"id":42998,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/42985\/revisions\/42998"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media\/42986"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media?parent=42985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/categories?post=42985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/tags?post=42985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}