Microsoft and F5 join forces on OpenTelemetry with Apache Arrow in Rust
Microsoft and F5 are collaborating on Phase 2 of the OpenTelemetry with Apache Arrow project.
Tag: Microsoft
Microsoft at Open Source Summit Europe 2024: Driving collaboration and innovation
Connect with other open source enthusiasts at Open Source Summit Europe 2024 in Vienna, Austria.
Microsoft Open Source Programs Office—Tuning the answers to Open Source questions
Our focus this past year has been on security, business excellence in OSS, safety, and supporting our upstream.
Supporting efficient large model training on AMD Instinct™ GPUs with DeepSpeed
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.
Announcing Azure Active Directory (Azure AD) workload identity for Kubernetes
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.
Add AI to mobile applications with Xamarin and ONNX Runtime
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.
Progress on making eBPF work on Windows
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.
Accelerate PyTorch training with torch-ort
With a simple change to your PyTorch training script, you can now speed up training large language models with torch_ort.ORTModule, running on the target hardware of your choice. Training deep learning models requires ever-increasing compute and memory resources. Today we release torch_ort.
ONNX Runtime release 1.8.1 previews support for accelerated training on AMD GPUs with the AMD ROCm™ Open Software Platform
This post was co-authored by Jeff Daily, a Principal Member of Technical Staff, Deep Learning Software for AMD. ONNX Runtime is an open-source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms.
Simple steps to create scalable processes to deploy ML models as microservices
This post was co-authored by Alejandro Saucedo, Director of Machine Learning Engineering at Seldon Technologies. About the co-author: Alejandro leads teams of machine learning engineers focused on the scalability and extensibility of machine learning deployment and monitoring products with over five million installations.
How to migrate and modernize Linux workloads and open source databases to Azure
With extensive support for all major Linux distributions including Red Hat, SUSE, Ubuntu, CentOS, Debian, and managed platform-as-a-service (PaaS) offerings for open source databases like Azure Database for MySQL, Azure Database for PostgreSQL, and Azure Database for MariaDB—it’s no surprise that Linux is the fastest growing platform on Azure.
Delivering reliable production experiences with PyTorch Enterprise on Microsoft Azure
At Microsoft, we use PyTorch to power products such as Bing and Azure Cognitive Services and we actively contribute to several PyTorch open-source projects, including PyTorch Profiler, ONNX Runtime, DeepSpeed, and more. Today, we’re announcing a new initiative in collaboration with Facebook—the PyTorch Enterprise Support Program. This new program enables service providers to develop and offer tailored enterprise-grade support to their customers.
Prioritizing inclusion—our commitment to building healthy open source communities
Microsoft products and services run on trust, an extension of our commitment to building healthy open source communities.