{"id":507584,"date":"2018-09-25T23:34:32","date_gmt":"2018-09-26T06:34:32","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=507584"},"modified":"2018-09-26T00:07:04","modified_gmt":"2018-09-26T07:07:04","slug":"platform-for-ai-aka-openpai","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/platform-for-ai-aka-openpai\/","title":{"rendered":"Platform for AI (aka. OpenPAI)"},"content":{"rendered":"<p>Platform for AI is an open source platform that provides complete AI model training and resource management capabilities, it is easy to extend and supports on-premise, cloud and hybrid environments in various scale.<\/p>\n<p>The platform incorporates the mature design that has a proven track record in Microsoft&#8217;s large-scale production environment.<\/p>\n<h3><a id=\"user-content-support-on-premises-and-easy-to-deploy\" class=\"anchor\" href=\"https:\/\/github.com\/Microsoft\/pai#support-on-premises-and-easy-to-deploy\"><\/a>Support on-premises and easy to deploy<\/h3>\n<p>OpenPAI is a full stack solution. OpenPAI not only supports on-premises, hybrid, or public Cloud deployment but also supports single-box deployment for trial users.<\/p>\n<h3><a id=\"user-content-support-popular-ai-frameworks-and-heterogeneous-hardware\" class=\"anchor\" href=\"https:\/\/github.com\/Microsoft\/pai#support-popular-ai-frameworks-and-heterogeneous-hardware\"><\/a>Support popular AI frameworks and heterogeneous hardware<\/h3>\n<p>Pre-built docker for popular AI frameworks. Easy to include heterogeneous hardware. Support Distributed training, such as distributed TensorFlow.<\/p>\n<h3><a id=\"user-content-most-complete-solution-and-easy-to-extend\" class=\"anchor\" href=\"https:\/\/github.com\/Microsoft\/pai#most-complete-solution-and-easy-to-extend\"><\/a>Most complete solution and easy to extend<\/h3>\n<p>OpenPAI is a most complete solution for deep learning, support virtual cluster, compatible Hadoop \/ kubernetes eco-system, complete training pipeline at one cluster etc. OpenPAI is architected in a modular way: different module can be plugged in as appropriate.<\/p>\n<p>Refer to the GitHub site for latest update: <a href=\"https:\/\/github.com\/Microsoft\/pai\">https:\/\/github.com\/Microsoft\/pai<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Platform for AI is an open source platform that provides complete AI model training and resource management capabilities, it is easy to extend and supports on-premise, cloud and hybrid environments in various scale. The platform incorporates the mature design that has a proven track record in Microsoft&#8217;s large-scale production environment. Support on-premises and easy to [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-507584","msr-project","type-msr-project","status-publish","hentry","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2017-06-01","related-publications":[690591,690597,700309],"related-downloads":[561135],"related-videos":[],"related-groups":[510017],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Fan Yang","user_id":31782,"people_section":"Section name 1","alias":"fanyang"},{"type":"user_nicename","display_name":"Yanjie Gao","user_id":34966,"people_section":"Section name 1","alias":"yanjga"},{"type":"user_nicename","display_name":"Mao Yang","user_id":32798,"people_section":"Section name 1","alias":"maoyang"},{"type":"user_nicename","display_name":"Scarlett Li","user_id":37736,"people_section":"Section name 1","alias":"scarli"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/507584"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/507584\/revisions"}],"predecessor-version":[{"id":708346,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/507584\/revisions\/708346"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=507584"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=507584"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=507584"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=507584"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=507584"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}