ONNX Runtime is a high-performance cross-platform inference and training engine that can run a variety of machine learning models. ORT provides an easy-to-use experience for the AI developers to run models on multiple hardware and software platforms. Read more
As the requirements and software surrounding Kubernetes clusters grow along with the required number of clusters, the administrative overhead becomes overwhelming and unsustainable without an appropriate architecture and supportive tooling. Read more
As we come together in Amsterdam, there are significant headwinds and challenges facing us, but I’m confident that open-source and cloud-native computing are critical parts of the solutions. Read more
In this blog post, we’ll share challenges our team faced, and how ONNX Runtime solves these as the backbone of success for high-performance inferencing. Read more
Azure Open Source Day highlighted Microsoft’s commitment to open Source and focused on how Open Source Technologies can be used to build intelligent apps faster and with more flexibility. Read more
Today, we are excited to announce the much-anticipated availability of the OSS Feathr 1.0. Read more
Azure Open Source Day is a great opportunity to learn more about Microsoft’s role in the open-source community, its contributions, and vision. Read more
Many developers opt to use popular AI Frameworks like PyTorch, which simplifies the process of analyzing predictions, training models, leveraging data, and refining future results. Read more
Choosing which machine learning model to use, sharing a model with a colleague, and quickly trying out a model are all reasons why you may find yourself wanting to quickly run inference on a model. You can configure your environment and download Jupyter notebooks, but it would be nicer if there was a way to Read more
Welcome to KubeCon Europe 2022. While I am unfortunately stuck in rainy Seattle (coldest start to May in 20 years), I’m excited that many of our cloud-native Azure folks will be able to experience sunny Valencia. It’s especially exciting for KubeCon to be the first chance for parts of the Azure Kubernetes Service (AKS) team Read more
Mohit Ayani, Solutions Architect, NVIDIA Shang Zhang, Senior AI Developer Technology Engineer, NVIDIA Jay Rodge, Product Marketing Manager-AI, NVIDIA Transformer-based models have revolutionized the natural language processing (NLP) domain. Ever since its inception, transformer architecture has been integrated into models like Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-trained Transformer (GPT) for performing tasks Read more
Scale, performance, and efficient deployment of state-of-the-art Deep Learning models are ubiquitous challenges as applied machine learning grows across the industry. We’re happy to see that the ONNX Runtime Machine Learning model inferencing solution we’ve built and use in high-volume Microsoft products and services also resonates with our open source community, enabling new capabilities that Read more
Microsoft Open Source Blog