{"id":23428,"date":"2019-10-17T06:00:05","date_gmt":"2019-10-17T13:00:05","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=23428"},"modified":"2019-10-18T09:02:09","modified_gmt":"2019-10-18T16:02:09","slug":"six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/","title":{"rendered":"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure"},"content":{"rendered":"\n<p style=\"text-align:center\">Sponsored Post<\/p>\n\n\n\n<p><strong><em>Organizations gain rapid insights, faster time to market with the latest Intel\u00ae technologies<\/em><\/strong><\/p>\n\n\n\n<p>Because HPC technologies today offer substantially more\npower and speed than their legacy predecessors, enterprises and research\ninstitutions benefit from combining AI and HPC workloads on a single system.\nThis approach increases the cost-efficiency of existing infrastructure\ninvestments by accelerating breakthrough scientific discoveries, shortening the\ntime needed to bring new products to market, and offering real-time business\nintelligence.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>For those institutions which have not made the leap to HPC and AI yet, there is good news. If they invested in Intel HPC solutions, they already have at their fingertips the tools they need to introduce AI into their enterprise or research data center environments. However, the task of optimizing the system for an organization\u2019s unique needs is not always easy since HPC and AI use cases vary widely. Systems integrators and developers, therefore, face challenges like combining CPUs and accelerators for the highest performance, extending memory volumes for greater application design flexibility, or avoiding the need to re-write applications to accommodate hardware changes. <\/p><\/blockquote>\n\n\n\n<p>Six platform investments from Intel will help reduce these\nobstacles and make HPC and AI deployment even more accessible and practical.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignright is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/10\/advanced-architectures-1.jpg\" alt=\"\" class=\"wp-image-23429\" width=\"318\" height=\"213\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/10\/advanced-architectures-1.jpg 599w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/10\/advanced-architectures-1-150x100.jpg 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/10\/advanced-architectures-1-300x201.jpg 300w\" sizes=\"(max-width: 318px) 100vw, 318px\" \/><\/figure><\/div>\n\n\n\n<p><strong>1. Advanced architectures for HPC and AI<\/strong><\/p>\n\n\n\n<p>While Intel\u00ae Xeon\u00ae Scalable processors serve a wide range of HPC use cases, some workloads benefit from hardware acceleration. For scenarios like three-dimensional modeling, AI, certain modeling workloads, and more, accelerators can employ vector, matrix, or spatially-based computational methods which result in a targeted improvement in system performance. Purpose-optimized technologies that supplement 2<sup>nd<\/sup> Generation Intel\u00ae Xeon\u00ae Scalable processors include: <\/p>\n\n\n\n<ul><li><strong>Intel\u00ae X<sup>e<\/sup> compute architecture<\/strong>, which, when available, will augment Intel\u2019s solutions portfolio to addresses the unique characteristics of vector-intense HPC workloads<\/li><li><strong>Intel\u00ae Nervana\u2122 Neural Network processors<\/strong> designed to speed deep neural network-based workloads<\/li><li><strong>Intel\u00ae Movidius<\/strong> technology which empowers intelligent connected devices at the edge, plus virtual and augmented reality scenarios<\/li><li><strong>Intel\u00ae Stratix\u00ae 10 SoC Field Programmable Gate Arrays<\/strong> (FPGAs) which deliver high performance, power efficiency, greater density, and improved systems integration <\/li><\/ul>\n\n\n\n<p><strong>2. Simplified programming with Intel oneAPI<\/strong><\/p>\n\n\n\n<p>Enterprises and research institutions regularly choose\naccelerators to complement system CPUs for faster HPC performance. Developers,\ntherefore, spend significant time ensuring their code is optimized to make the\nmost of that single compute type. However, if a different kind of compute\ndevice drops into that mix, a developer would need to re-write the application\nto accommodate the new device and maximize its potential. When released, <strong><em>oneAPI<\/em><\/strong>\nwill eliminate this challenge. <\/p>\n\n\n\n<p>With oneAPI, developers have tools that will enable a\nunified programming model, simplifying development for workloads across\nmultiple architectures. Intel oneAPI, based on open standards, will give\ndevelopers the freedom to create applications for one type of compute device,\nthen run the same code on a different compute device or accelerator (for\nexample CPU to GPU). <\/p>\n\n\n\n<p>While supporting both direct programming and API programming, Intel oneAPI also enables custom library functions which optimize native code performance across a variety of hardware. Developers also benefit from Intel\u2019s enhanced debug and analysis tools that support SVMS architectures and DPC++.<\/p>\n\n\n\n<p><strong>3. Transforming memory and storage with DAOS<\/strong><\/p>\n\n\n\n<p>When creating applications for HPC, developers must work around\nmemory bottlenecks. Since each server board supports a maximum of 128 gigabytes\nof memory per module, developers must \u201cfit\u201d their applications within those space\nconstraints and optimize memory-intense HPC and AI applications to run more\nefficiently on HPC memory systems. <\/p>\n\n\n\n<p>Innovations like Intel\u00ae Optane\u2122 technologies\nand the recently announced Distributed Asynchronous Object Storage (DAOS) address\nthese barriers by offering developers ways to expand and speed HPC memory\npools. Intel\u00ae Optane\u2122 DC persistent memory offers this expansion of memory\nsizes to tackle those memory-intensive workloads.<\/p>\n\n\n\n<p>Distributed Asynchronous Object Storage (DAOS) supplements these technologies by offering a software-defined object store built for large scale, distributed Non-Volatile Memory (NVM). Unlike HPC workloads focused on mathematical calculations and storage, AI scenarios on HPC require non-linear movement of various-sized data blocks. DAOS technology accelerates AI workloads by directing smaller, \u201chot\u201d data blocks onto memory DIMMs, and writing larger, \u201cwarm\u201d data blocks to SSD storage. DAOS\u2019s ability to place data intelligently makes the most of memory and storage resources and accelerates AI workloads in the process. With features like advanced data protection, transactional non-blocking I\/O, and more DAOS offers organizations a performant, flexible storage option for today\u2019s data centers.<\/p>\n\n\n\n<p><strong>4. A more intelligent interconnect, CXL<\/strong><\/p>\n\n\n\n<p>In the constant pursuit of more exceptional HPC system\nperformance for AI applications, customers need ways to optimize the joint\ncapabilities of CPUs and accelerators. <\/p>\n\n\n\n<p>Intel\u2019s new intelligent interconnect, Intel\u00ae Compute Express Link (Intel\u00ae CXL), addresses this need by enabling a faster gateway of communication between the CPU and accelerator. Intel CXL offers a standards-based solution to increase data transfer rates for AI applications, and reduce software stack complexity.&nbsp; <\/p>\n\n\n\n<p><strong>5. Support for manufacturing excellence<\/strong><\/p>\n\n\n\n<p>Increasingly, manufacturers tap the power of AI-based\nworkloads to bring products to market faster, maximize their supply chains, avoid\nunexpected downtime of manufacturing equipment, and much more. Given the\ncompute-intensive nature of AI, customers benefit from faster processor\nperformance, which leads to faster business outcomes. &nbsp;<\/p>\n\n\n\n<p>Intel is committed to manufacturing excellence by delivering advanced processors with ever increasing sophistication. For example, Intel\u00ae FPGA and 10th Generation Intel\u00ae Core\u2122 processors are shipping this year with 10nm technology as well as having a clear path for 7nm and beyond. &nbsp;Foveros 3D packaging technology supplements these processor enhancements with the ability to combine processors, DRAM layers, and accelerators into a single, vertical \u201cstack\u201d that enables higher density per CPU socket and server board. <\/p>\n\n\n\n<p><strong>6. Built-in security<\/strong><\/p>\n\n\n\n<p>With new security threats occurring daily, data center IT\nexperts need a platform they can count on for end-to-end security. Intel\u2019s\nHPC-ready platform implements security technologies at all levels, including processors,\nboards, software, and more. <\/p>\n\n\n\n<p><strong>Find out\nmore<\/strong><\/p>\n\n\n\n<p>There is no longer a doubt about the\ncritical role AI can fill, or the value it adds. Instead, the debate is when\nand how to implement it to benefit your organization. The Intel\u00ae HPC platform\nexecutes and accelerates AI-based workloads. Organizations that already adopted\nIntel technologies are closer to experiencing AI\u2019s benefits than they may\nrealize. <\/p>\n\n\n\n<p>For more information about the benefits Intel\u2019s HPC and AI platform can offer your organization, read the <em><a rel=\"noreferrer noopener\" aria-label=\"Bringing AI into Your Existing HPC Environment (opens in a new tab)\" href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/high-performance-computing\/scale-hpc-with-ai-guide.html\" target=\"_blank\">Bringing AI into Your Existing HPC Environment<\/a><\/em> white paper. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. Six platform investments from Intel will help reduce obstacles and make HPC and AI deployment even more accessible and practical.<\/p>\n","protected":false},"author":10513,"featured_media":22952,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,87,180,258,210,56,311,1],"tags":[437,324,429,284,788,774,95],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure - insideBIGDATA<\/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:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. Six platform investments from Intel will help reduce obstacles and make HPC and AI deployment even more accessible and practical.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2019-10-17T13:00:05+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-10-18T16:02:09+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/07\/shutterstock_1396230830.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"500\" \/>\n\t<meta property=\"og:image:height\" content=\"334\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/\",\"url\":\"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/\",\"name\":\"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2019-10-17T13:00:05+00:00\",\"dateModified\":\"2019-10-18T16:02:09+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/","og_locale":"en_US","og_type":"article","og_title":"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure - insideBIGDATA","og_description":"Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. Six platform investments from Intel will help reduce obstacles and make HPC and AI deployment even more accessible and practical.","og_url":"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2019-10-17T13:00:05+00:00","article_modified_time":"2019-10-18T16:02:09+00:00","og_image":[{"width":500,"height":334,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/07\/shutterstock_1396230830.jpg","type":"image\/jpeg"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/","url":"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/","name":"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2019-10-17T13:00:05+00:00","dateModified":"2019-10-18T16:02:09+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2019\/10\/17\/six-platform-investments-from-intel-to-facilitate-running-ai-and-hpc-workloads-together-on-existing-infrastructure\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/07\/shutterstock_1396230830.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-65S","jetpack-related-posts":[{"id":19837,"url":"https:\/\/insidebigdata.com\/2018\/01\/23\/convergence-ai-data-hpc\/","url_meta":{"origin":23428,"position":0},"title":"Exploring the Convergence of AI, Data and HPC","date":"January 23, 2018","format":false,"excerpt":"The demand for performant and scalable AI solutions has stimulated a convergence of science, algorithm development, and affordable technologies to create a software ecosystem designed to support the data scientist. A special insideHPC report explores how HPC and the data driven AI communities are converging as they are arguably running\u2026","rel":"","context":"In &quot;Featured Resource - Chronological&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2018\/01\/IntelOMD_IBDCover2_2018-01-22.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":22877,"url":"https:\/\/insidebigdata.com\/2019\/07\/22\/converged-hpc-clusters\/","url_meta":{"origin":23428,"position":1},"title":"Using Converged HPC Clusters to Combine HPC, AI, and HPDA Workloads","date":"July 22, 2019","format":false,"excerpt":"Many organizations follow an old trend to adopt AI and HPDA as distinct entities which leads to underutilization of their clusters. To avoid this, clusters can be converged to save (or potentially eliminate) capital expenditures and reduce OPEX costs. This sponsored post from Intel\u2019s Esther Baldwin, AI Strategist, explores how\u2026","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/07\/shutterstock_1396230830.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":23579,"url":"https:\/\/insidebigdata.com\/2019\/11\/18\/2nd-generation-intel-xeon-platinum-9200-processors-offer-leadership-performance-and-advance-ai\/","url_meta":{"origin":23428,"position":2},"title":"2nd Generation Intel\u00ae Xeon\u00ae Platinum 9200 Processors Offer Leadership Performance, and Advance AI","date":"November 18, 2019","format":false,"excerpt":"Simulation, modeling, data analytics, and other workloads commonly use high performance computing (HPC) to advance research and business in many ways. However, as converged workloads involving AI grow in adoption, HPC systems must keep pace with evolving needs. 2nd Generation Intel\u00ae Xeon\u00ae Platinum processors, with built-in AI acceleration technologies, offer\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/11\/xeon-pltnm-m-ww-rgb-3000.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":23734,"url":"https:\/\/insidebigdata.com\/2020\/02\/10\/intel-parallel-studio-xe-2020-transform-enterprise-cloud-hpc-artificial-intelligence-with-faster-parallel-code\/","url_meta":{"origin":23428,"position":3},"title":"Intel\u00ae Parallel Studio XE 2020: Transform Enterprise, Cloud, HPC &#038; Artificial Intelligence with Faster Parallel Code","date":"February 10, 2020","format":false,"excerpt":"In this article we\u2019ll drill down into the capabilities of Intel\u00ae Parallel Studio XE 2020, the latest release of a comprehensive, parallel programming tool suite that simplifies the creation and modernization of code. Using this newest release, software developers and architects can speed AI inferencing with support for Intel\u00ae Deep\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/12\/Intel-Parallel-Studio-logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":26807,"url":"https:\/\/insidebigdata.com\/2021\/08\/03\/insidebigdata-guide-for-higher-education-part-3\/","url_meta":{"origin":23428,"position":4},"title":"insideBIGDATA Guide for Higher Education \u2013 Part 3","date":"August 3, 2021","format":false,"excerpt":"[Sponsored Post] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide for Higher Education, discusses how higher education leaders today want to improve student and institutional success through digital transformation. Dell Technologies is uniquely positioned to help at every step of the way, leveraging a robust portfolio\u2026","rel":"","context":"In &quot;Academic&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2021\/07\/insideBIGDATA-Guide-for-Higher-Education-cover.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":24484,"url":"https:\/\/insidebigdata.com\/2020\/06\/02\/two-day-launch-event-enabling-real-artificial-intelligence-with-dell-technologies-and-poweredge\/","url_meta":{"origin":23428,"position":5},"title":"Two Day Launch Event: Enabling Real Artificial Intelligence with Dell Technologies and PowerEdge","date":"June 2, 2020","format":false,"excerpt":"Please join us for two free CrowdChat events on June 2 & 3 to learn how Dell Technologies and PowerEdge enable more organizations to leverage AI with VMware & Intel. Dell Technologies is already helping their customers explore and reap the benefits of this exciting new frontier with scalable, flexible\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2020\/06\/Dell_Intel_logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/23428"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=23428"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/23428\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/22952"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=23428"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=23428"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=23428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}