{"id":18544,"date":"2017-08-06T10:00:09","date_gmt":"2017-08-06T17:00:09","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=18544"},"modified":"2017-08-14T08:45:47","modified_gmt":"2017-08-14T15:45:47","slug":"nvidia-supercharges-rendering-performance-ai","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/","title":{"rendered":"NVIDIA Supercharges Rendering Performance with AI"},"content":{"rendered":"<p><a href=\"http:\/\/www.nvidia.com\/\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-8794\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/Nvidia_logo.jpg\" alt=\"\" width=\"151\" height=\"151\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/Nvidia_logo.jpg 151w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/Nvidia_logo-150x151.jpg 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/Nvidia_logo-110x110.jpg 110w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/Nvidia_logo-50x50.jpg 50w\" sizes=\"(max-width: 151px) 100vw, 151px\" \/>NVIDIA<\/a> announced that it is bringing the power of artificial intelligence to rendering with the launch of NVIDIA OptiX\u2122 5.0 SDK with powerful new ray-tracing capabilities.<\/p>\n<p>Running OptiX 5.0 on the NVIDIA DGX Station\u2122 &#8212; the company\u2019s recently introduced deskside AI workstation &#8212; will give designers, artists and other content-creation professionals the rendering capability of 150 standard CPU-based servers. This access to GPU-powered accelerated computing will provide extraordinary ability to iterate and innovate with speed and performance, at a fraction of the cost.<\/p>\n<blockquote><p>Developers using our platform can enable millions of artists and designers to access the capabilities of a render farm right at their desk,\u201d said Bob Pette, Vice President, Professional Visualization, NVIDIA. \u201cBy creating OptiX-based applications, they can bring the extraordinary power of AI to their customers, enhancing their creativity and dramatically improving productivity.\u201d<\/p><\/blockquote>\n<p>OptiX 5.0\u2019s new ray tracing capabilities will speed up the process required to visualize designs or characters, dramatically increasing a creative professional\u2019s ability to interact with their content. It features new AI denoising capability to accelerate the removal of graininess from images, and brings GPU-accelerated motion blur for realistic animation effects.<\/p>\n<p>OptiX 5.0 will be available at no cost to registered developers in November.<\/p>\n<p><strong>Rendering Appliance Powers AI Workflows<\/strong><\/p>\n<p>By running NVIDIA OptiX 5.0 on a DGX Station, content creators can significantly accelerate training, inference and rendering. A whisper-quiet system that fits under a desk, NVIDIA DGX Station uses the latest NVIDIA Volta-generation GPUs, making it the most powerful AI rendering system available.<\/p>\n<p>To achieve equivalent rendering performance of a DGX Station, content creators would need access to a render farm with <a href=\"https:\/\/news.developer.nvidia.com\/profiling-the-ai-performance-boost-in-optix-5\" data-saferedirecturl=\"https:\/\/www.google.com\/url?hl=en&amp;q=https:\/\/news.developer.nvidia.com\/profiling-the-ai-performance-boost-in-optix-5&amp;source=gmail&amp;ust=1501955177297000&amp;usg=AFQjCNGIyhZ48NBzUtX5pSlOH_a0024Otg\"> more than 150 servers <\/a>that require some 200 kilowatts of power, compared with 1.5 kilowatts for a DGX Station. The cost for purchasing and operating that render farm would reach $4 million over three years compared with less than $75,000 for a DGX Station.<\/p>\n<p><strong>Industry Support for AI-based Graphics<\/strong><\/p>\n<p>NVIDIA is working with many of the world\u2019s most important technology companies and creative visionaries from Hollywood studios to set the course for the use of AI for rendering, design, character generation and the creation of virtual worlds. They voiced broad support for the company\u2019s latest innovations:<\/p>\n<ul>\n<li>\u201cAI is transforming industries everywhere. We\u2019re excited to see how NVIDIA\u2019s new AI technologies will improve the filmmaking process.\u201d &#8212; <em>Steve May, Vice President and CTO, Pixar<\/em><\/li>\n<li>\u201cWe\u2019re big fans of NVIDIA OptiX.\u00a0 It greatly reduced our development cost while porting the ray tracing core of our Clarisse renderer to NVIDIA GPUs and offers extremely fast performance.\u00a0 With the potential to significantly decrease rendering times with AI-accelerated denoising, OptiX 5 is very promising as it can become a game changer in production workflows.\u201d &#8212;\u00a0 <em>Nicolas Guiard, Principal Engineer, Isotropix<\/em><\/li>\n<li>\u201cAI has the potential to turbocharge the creative process.\u00a0 We see a future where our artists\u2019 creativity is unleashed with AI \u2013 a future where paintbrushes can truly \u2018think\u2019 and empower artists to create images and experiences we could hardly imagine just a few years ago.\u00a0 At Technicolor, we share NVIDIA\u2019s vision to chart a path that enhances the toolset for creatives to deepen audience experiences.\u201d\u00a0 &#8212;<em> Sutha Kamal, Vice President, Technology Strategy, Technicolor<\/em><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noopener noreferrer\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA announced that it is bringing the power of artificial intelligence to rendering with the launch of NVIDIA OptiX\u2122 5.0 SDK with powerful new ray-tracing capabilities. Running OptiX 5.0 on the NVIDIA DGX Station\u2122 &#8212; the company\u2019s recently introduced deskside AI workstation &#8212; will give designers, artists and other content-creation professionals the rendering capability of 150 standard CPU-based servers.<\/p>\n","protected":false},"author":10511,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,180,56,1,70],"tags":[324,136,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA Supercharges Rendering Performance with AI - 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\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA Supercharges Rendering Performance with AI - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"NVIDIA announced that it is bringing the power of artificial intelligence to rendering with the launch of NVIDIA OptiX\u2122 5.0 SDK with powerful new ray-tracing capabilities. Running OptiX 5.0 on the NVIDIA DGX Station\u2122 -- the company\u2019s recently introduced deskside AI workstation -- will give designers, artists and other content-creation professionals the rendering capability of 150 standard CPU-based servers.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/\" \/>\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=\"2017-08-06T17:00:09+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-08-14T15:45:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/Nvidia_logo.jpg\" \/>\n<meta name=\"author\" content=\"Stephanie Ellars\" \/>\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=\"Stephanie Ellars\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/\",\"url\":\"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/\",\"name\":\"NVIDIA Supercharges Rendering Performance with AI - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2017-08-06T17:00:09+00:00\",\"dateModified\":\"2017-08-14T15:45:47+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/f5d11c67dca8ab57ddabc5617f9344a6\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"NVIDIA Supercharges Rendering Performance with AI\"}]},{\"@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\/f5d11c67dca8ab57ddabc5617f9344a6\",\"name\":\"Stephanie Ellars\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/f7e9498a236e8c04e446e0e57122ab89?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/f7e9498a236e8c04e446e0e57122ab89?s=96&d=mm&r=g\",\"caption\":\"Stephanie Ellars\"},\"sameAs\":[\"http:\/\/insideBIGDATA.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/stephanie-ellars\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"NVIDIA Supercharges Rendering Performance with AI - 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\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/","og_locale":"en_US","og_type":"article","og_title":"NVIDIA Supercharges Rendering Performance with AI - insideBIGDATA","og_description":"NVIDIA announced that it is bringing the power of artificial intelligence to rendering with the launch of NVIDIA OptiX\u2122 5.0 SDK with powerful new ray-tracing capabilities. Running OptiX 5.0 on the NVIDIA DGX Station\u2122 -- the company\u2019s recently introduced deskside AI workstation -- will give designers, artists and other content-creation professionals the rendering capability of 150 standard CPU-based servers.","og_url":"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2017-08-06T17:00:09+00:00","article_modified_time":"2017-08-14T15:45:47+00:00","og_image":[{"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/Nvidia_logo.jpg"}],"author":"Stephanie Ellars","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Stephanie Ellars","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/","url":"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/","name":"NVIDIA Supercharges Rendering Performance with AI - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2017-08-06T17:00:09+00:00","dateModified":"2017-08-14T15:45:47+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/f5d11c67dca8ab57ddabc5617f9344a6"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2017\/08\/06\/nvidia-supercharges-rendering-performance-ai\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"NVIDIA Supercharges Rendering Performance with AI"}]},{"@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\/f5d11c67dca8ab57ddabc5617f9344a6","name":"Stephanie Ellars","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f7e9498a236e8c04e446e0e57122ab89?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f7e9498a236e8c04e446e0e57122ab89?s=96&d=mm&r=g","caption":"Stephanie Ellars"},"sameAs":["http:\/\/insideBIGDATA.com"],"url":"https:\/\/insidebigdata.com\/author\/stephanie-ellars\/"}]}},"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-4P6","jetpack-related-posts":[{"id":19390,"url":"https:\/\/insidebigdata.com\/2017\/11\/15\/new-containers-nvidia-gpu-cloud-help-developers-instantly-deploy-fully-optimized-ai-hpc-software\/","url_meta":{"origin":18544,"position":0},"title":"New Containers on NVIDIA GPU Cloud Help Developers Instantly Deploy Fully Optimized AI and HPC Software","date":"November 15, 2017","format":false,"excerpt":"NVIDIA announced that a new advanced data center GPU \u2014 the NVIDIA\u00ae Tesla\u00ae V100 GPU based on NVIDIA\u2019s Volta architecture \u2014 is available through major computer makers and chosen by major cloud providers to deliver artificial intelligence and high performance computing.","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":17464,"url":"https:\/\/insidebigdata.com\/2017\/03\/27\/tencent-cloud-adopts-nvidia-tesla-ai-cloud-computing\/","url_meta":{"origin":18544,"position":1},"title":"Tencent Cloud Adopts NVIDIA Tesla for AI Cloud Computing","date":"March 27, 2017","format":false,"excerpt":"NVIDIA announced that Tencent Cloud will adopt NVIDIA\u00ae Tesla\u00ae GPU accelerators to help advance artificial intelligence for enterprise customers. NVIDIA\u2019s AI computing technology is used worldwide by cloud service providers, enterprises, startups and research organizations for a wide range of applications.","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":24887,"url":"https:\/\/insidebigdata.com\/2020\/08\/16\/cyxtera-simplifies-ai-innovation-with-ai-ml-compute-as-a-service-powered-by-nvidia-dgx-a100-systems\/","url_meta":{"origin":18544,"position":2},"title":"Cyxtera Simplifies AI Innovation with AI\/ML Compute as a Service Powered by NVIDIA DGX A100 Systems","date":"August 16, 2020","format":false,"excerpt":"Cyxtera, a global leader in data center colocation and interconnection services, launched its landmark Artificial Intelligence\/Machine Learning (AI\/ML) compute as a service offering to deliver data center platform capabilities enabling AI-powered workloads. Leveraging the NVIDIA DGX\u2122 A100 system, this new offering provides enterprises greater agility and faster deployment with a\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":24408,"url":"https:\/\/insidebigdata.com\/2020\/05\/14\/nvidia-ships-worlds-most-advanced-ai-system-nvidia-dgx-a100-to-fight-covid-19-third-generation-dgx-packs-record-5-petaflops-of-ai-performance\/","url_meta":{"origin":18544,"position":3},"title":"NVIDIA Ships New Advanced AI System \u2014 NVIDIA DGX A100: Third-Generation DGX Packs Record 5 Petaflops of AI Performance","date":"May 14, 2020","format":false,"excerpt":"NVIDIA today unveiled NVIDIA DGX\u2122 A100, the third generation of the world\u2019s most advanced AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform for the first time. Immediately available, DGX A100 systems have begun shipping\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2020\/05\/NVIDIA_Superpod.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":30852,"url":"https:\/\/insidebigdata.com\/2022\/11\/13\/runai-launches-full-stack-solution-for-hyper-optimized-enterprise-ai-built-on-nvidia-dgx-systems\/","url_meta":{"origin":18544,"position":4},"title":"Run:ai Launches Full-Stack Solution for Hyper-Optimized Enterprise AI Built on NVIDIA DGX Systems","date":"November 13, 2022","format":false,"excerpt":"Run:ai, a leader in compute orchestration for AI workloads, announced the launch of the Run:ai MLOps Compute Platform (MCP) powered by NVIDIA DGX\u2122\u00a0 Systems, a complete, full-stack AI solution for enterprises. Built on NVIDIA DGX systems and using Run:ai Atlas software, Run:ai MCP is an end-to-end AI infrastructure platform that\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":30844,"url":"https:\/\/insidebigdata.com\/2022\/11\/08\/coreweave-among-first-cloud-providers-to-offer-nvidia-hgx-h100-supercomputers-set-to-transform-ai-landscape\/","url_meta":{"origin":18544,"position":5},"title":"CoreWeave Among First Cloud Providers to Offer NVIDIA HGX H100 Supercomputers Set to Transform AI Landscape","date":"November 8, 2022","format":false,"excerpt":"CoreWeave, a specialized cloud provider built for large-scale GPU-accelerated workloads, announced it is among the first to offer cloud instances with NVIDIA HGX H100 supercomputing. CoreWeave, Amazon, Google, Microsoft and Oracle are the first cloud providers included in the launch of this groundbreaking AI platform.","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/18544"}],"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\/10511"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=18544"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/18544\/revisions"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=18544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=18544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=18544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}