This blog is co-authored by Fuheng Wu, Principal Machine Learning Tech Lead, Oracle Cloud AI Services, Oracle Inc. Enabling scenarios through the usage of Deep Neural Network (DNN) models is critical to our AI strategy at Oracle, and our Cloud AI Services team has built a solution to serve DNN models for customers in the 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
This post was co-authored by Jithun Nair and Aswin Mathews, members of technical staff at AMD. In recent years, large-scale deep learning models have demonstrated impressive capabilities, excelling at tasks across natural language processing, computer vision, and speech domains. Companies now use these models to power novel AI-driven user experiences across a whole spectrum of Read more
In our previous blog, we spoke about the progress we have made for the eBPF for Windows project. A key goal for us has been to meet developers where they are. As a result, enabling eBPF programs written for Linux to run on top of the eBPF for Windows platform is very important to us. Read more
Open source has forever changed software development for the better. It has allowed developers from around the world to connect, collaborate, and build tomorrow’s technology. Microsoft culturally adopted an open mindset under Satya Nadella and internally changed the way software was developed. Microsoft is continually learning how to be a better open-source partner and support Read more
Microsoft Open Source Blog