{"id":37533,"date":"2019-01-28T07:14:33","date_gmt":"2019-01-28T07:14:33","guid":{"rendered":"http:\/\/icloud.pe\/blog\/?guid=f6d968ecaefe8dce025be559dd047b0f"},"modified":"2019-01-28T07:14:33","modified_gmt":"2019-01-28T07:14:33","slug":"aws-releases-neo-ai-code-to-the-open-source-world","status":"publish","type":"post","link":"https:\/\/icloud.pe\/blog\/aws-releases-neo-ai-code-to-the-open-source-world\/","title":{"rendered":"AWS releases Neo-AI code to the open-source world"},"content":{"rendered":"<p><span class=\"field field-name-field-author field-type-node-reference field-label-hidden\"><br \/>\n      <span class=\"field-item even\"><a href=\"https:\/\/www.cloudpro.co.uk\/authors\/clare-hopping\">Clare Hopping<\/a><\/span><br \/>\n  <\/span><\/p>\n<div class=\"field field-name-field-published-date field-type-datetime field-label-hidden\">\n<div class=\"field-items\">\n<div class=\"field-item even\"><span class=\"date-display-single\">28 Jan, 2019<\/span><\/div>\n<\/p><\/div>\n<\/div>\n<p class=\"short-teaser\">\n<a href=\"https:\/\/www.cloudpro.co.uk\/\" title=\"\" class=\"combined-link\"><\/a><\/p>\n<div class=\"field field-name-body\">\n<p> AWS has released its Neo-AI code as an open source project, encouraging developers and other AI experts to contribute to the platform.<\/p>\n<p>The company explained that usually, ensuring a machine learning model works across a variety of hardware platforms (especially those running on edge networks) is difficult because there are so many factors and limitations to consider.<\/p>\n<p>Even in less complicated devices, there are so many software variations that it can be tricky to make sure machine learning works across all of them. As a result, manufacturers and vendors are being limited by which companies they can work with to provide machine learning tools they require.<\/p>\n<p>With AWS\u2019s Neo-AI, machine learning models are automatically optimised for use TensorFlow, MXNet, PyTorch, ONNX, and XGBoost models, converting them into common formats to work on a wider variety of devices. The models can be run\u00a0at a\u00a0 faster pace as well because Neo-AI uses a compact runtime, limiting the resources a framework would typically consume.<\/p>\n<p>Even if edge devices are being constrained by resources, this is irrelevant, because Neo-AI will shrink down the resources needed to run.\u00a0Neo-AI currently supports platforms from Intel, NVIDIA, and ARM, with support for Xilinx, Cadence, and Qualcomm arriving later in the year.<\/p>\n<p>\u201cTo derive value from AI, we must ensure that deep learning models can be deployed just as easily in the data center and in the cloud as on devices at the edge,\u201d said Naveen Rao, general manager of the artificial intelligence products group at Intel.<\/p>\n<p>\u201cIntel is pleased to expand the initiative that it started with nGraph by contributing those efforts to Neo-AI. Using Neo, device makers and system vendors can get better performance for models developed in almost any framework on platforms based on all Intel compute platforms.\u201d <\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>      Clare Hopping<\/p>\n<p>        28 Jan, 2019    <\/p>\n<p>       AWS has released its Neo-AI code as an open source project, encouraging developers and other AI experts to contribute to the platform.<br \/>\nThe company explained that usually, ensuring a machine le&#8230;<\/p>\n","protected":false},"author":400,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-37533","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/37533","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/users\/400"}],"replies":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/comments?post=37533"}],"version-history":[{"count":1,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/37533\/revisions"}],"predecessor-version":[{"id":37534,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/37533\/revisions\/37534"}],"wp:attachment":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/media?parent=37533"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/categories?post=37533"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/tags?post=37533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}