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.
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.
Scale, performance, and efficient deployment of state-of-the-art Deep Learning models are ubiquitous challenges as applied machine learning grows across the industry.
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.
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.
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.
Today, we are excited to announce an open-source project called Azure AD workload identity for Kubernetes. It leverages the public preview capability of Azure AD workload identity federation.
Tech companies born with an open source mentality get it. It’s our ability to work together that makes our dreams believable and, ultimately, achievable. We must learn to build on the ideas of others”—Satya Nadella Whenever I teach open source at Microsoft, I open with this quote from Satya.
ONNX Runtime now supports building mobile applications in C# with Xamarin. Support for Android and iOS is included in the ONNX Runtime release 1.10 NuGet package. This enables C# developers to build AI applications for Android and iOS to execute ONNX models on mobile devices with ONNX Runtime.
Securing the software supply chain and verifying that chain is hard for any software, and containers running in Kubernetes are no exception.
eBPF is a well-known, but revolutionary, technology for providing programmability, extensibility, and agility. eBPF has been applied to use cases such as denial-of-service protection and observability. In May 2021, we announced the effort to make eBPF work on Windows, and were encouraged by the huge amount of interest.
Welcome to KubeCon 2021 in Los Angeles! Whether you are attending in person or virtually, we’re excited to see you at the conference.
Open source software is an integral part of development at Microsoft, aligned with our goal to empower all developers to be successful building any application, using any language, on any platform. We are committed to building open, flexible technology and working with the open source community to grow together as an industry.
