{"id":3271,"date":"2017-11-16T00:00:00","date_gmt":"2017-11-16T00:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/blog\/support-for-open-ai-ecosystem-grows-as-amazon-web-services-joins-onnx-ai-format"},"modified":"2025-06-26T08:19:41","modified_gmt":"2025-06-26T15:19:41","slug":"support-for-open-ai-ecosystem-grows-as-amazon-web-services-joins-onnx-ai-format","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/support-for-open-ai-ecosystem-grows-as-amazon-web-services-joins-onnx-ai-format\/","title":{"rendered":"Support for open AI ecosystem grows as Amazon Web Services joins ONNX AI format"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">It\u2019s been an exciting few months! In September we introduced the <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/microsoft-and-facebook-create-open-ecosystem-for-ai-model-interoperability\">Open Neural Network Exchange (ONNX)<\/a> format we created with Facebook to increase interoperability and reduce friction for developing and deploying AI. In October a <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/microsoft-and-facebook-call-for-open-ai-ecosystem-gaining-broader-industry-momentum\">number of companies<\/a> that share our goals announced their support for ONNX.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Today Microsoft and <a href=\"https:\/\/research.fb.com\/amazon-to-join-onnx-ai-format-drive-mxnet-support\/\">Facebook<\/a> are excited to share Amazon Web Services (AWS) is <a href=\"https:\/\/aws.amazon.com\/blogs\/machine-learning\/announcing-onnx-support-for-apache-mxnet\/\">contributing ONNX support for Apache MXNet<\/a> and joining the ONNX initiative. Amazon recognizes the benefits of the ONNX open ecosystem to enable developers working on deep learning to move between tools easily, choosing ones that are best suited for the task at hand. It\u2019s great to have another major framework support ONNX: Caffe2, PyTorch, Microsoft Cognitive Toolkit, and now MXNet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At Microsoft we believe bringing AI advances to all developers, on any platform, using any language, with an open AI ecosystem, will help ensure AI is more accessible and valuable to all. With ONNX and the rest of our <a href=\"https:\/\/azure.microsoft.com\/en-us\/overview\/ai-platform\/?v=19.05\">Azure AI services, infrastructure and tools<\/a> such as <a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/machine-learning-service\/\">Azure Machine Learning<\/a> and the recently announced <a href=\"https:\/\/visualstudio.microsoft.com\/downloads\/ai-tools-vs\/\">Visual Studio Tools for AI<\/a>, developers and data scientists will be able to deliver new and exciting AI innovations faster.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We invite others in the community to visit <a href=\"https:\/\/onnx.ai\">https:\/\/onnx.ai<\/a> to learn more and participate in the ONNX effort. You can also get ONNX updates on\u202f<a href=\"https:\/\/www.facebook.com\/onnxai\/\">Facebook<\/a>\u202fand <a href=\"https:\/\/twitter.com\/onnxai\">@onnxai on Twitter<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It\u2019s been an exciting few months! In September we introduced the Open Neural Network Exchange (ONNX) format we created with Facebook to increase interoperability and reduce friction for developing and deploying AI. In October a number of companies that share our goals announced their support for ONNX.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","footnotes":"","msx_community_cta_settings":[]},"categories":[1454,1485],"tags":[],"audience":[3057,3055,3056],"content-type":[],"product":[1493],"tech-community":[],"topic":[],"coauthors":[95],"class_list":["post-3271","post","type-post","status-publish","format-standard","hentry","category-ai-machine-learning","category-internet-of-things","audience-data-professionals","audience-developers","audience-it-implementors","product-azure-machine-learning","review-flag-1680286581-295","review-flag-machi-1680286585-314","review-flag-new-1680286579-546"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Support for open AI ecosystem grows as Amazon Web Services joins ONNX AI format | Microsoft Azure Blog<\/title>\n<meta name=\"description\" content=\"It\u2019s been an exciting few months! In September we introduced the Open Neural Network Exchange (ONNX) format we created with Facebook to increase interoperability and reduce friction for developing and deploying AI. In October a number of companies that share our goals announced their support for ONNX.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/support-for-open-ai-ecosystem-grows-as-amazon-web-services-joins-onnx-ai-format\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Support for open AI ecosystem grows as Amazon Web Services joins ONNX AI format | Microsoft Azure Blog\" \/>\n<meta property=\"og:description\" content=\"It\u2019s been an exciting few months! In September we introduced the Open Neural Network Exchange (ONNX) format we created with Facebook to increase interoperability and reduce friction for developing and deploying AI. 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