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It’s 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.

Today Microsoft and Facebook are excited to share Amazon Web Services (AWS) is contributing ONNX support for Apache MXNet 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’s great to have another major framework support ONNX: Caffe2, PyTorch, Microsoft Cognitive Toolkit, and now MXNet.

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 Azure AI services, infrastructure and tools such as Azure Machine Learning and the recently announced Visual Studio Tools for AI, developers and data scientists will be able to deliver new and exciting AI innovations faster.

We invite others in the community to visit https://onnx.ai to learn more and participate in the ONNX effort. You can also get ONNX updates on Facebook and @onnxai on Twitter.

Eric Boyd

Eric Boyd posts

Eric Boyd leads the global AI Platform team within Microsoft’s Cloud + AI division – a team whose mission is to deliver the Copilot Stack for Microsoft, Enterprises and Developer, powering every application with intelligent capabilities. To deliver on the mission, the team manages the deployment and optimization of a broad selection of best-in-class foundation and open source Generative AI models that support customer choice and cost effectiveness. The AI Platform team also spearheads the development of products, tools and services that help enterprises scale transformative AI initiatives, including Azure OpenAI Service, Azure Machine Learning, AI Services (like Speech, Language and Vision), AI Search fueled by RAG, Model Customization, Responsible AI/Content Safety, and live-site internal platforms that provide data, experimentation, and Graphics Processing Units (GPU) cluster management to groups across Microsoft.  

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