Making eBPF work on Windows
eBPF is a well-known but revolutionary technology—providing programmability, extensibility, and agility.
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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. -
Enabling Local Tunnel Debugging with the Kubernetes extension for VS Code
In partnership with developers from Red Hat, we are announcing the introduction of Local Tunnel Debugging for Kubernetes service in the Kubernetes extension for Visual Studio Code, which enables you to use your native development tools against any cluster, live. -
ONNX Runtime 1.8: mobile, web, and accelerated training
The V1.8 release of ONNX Runtime includes many exciting new features. -
Empowering you to achieve more with open source on Azure
At Microsoft, we are taking cloud architecture to the next level and our open cloud reduces the friction for developers to get applications up and running. -
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. -
Journey to optimize large scale transformer model inference with ONNX Runtime
With its resource-efficient and high-performance nature, ONNX Runtime helped us meet the need of deploying a large-scale multi-layer generative transformer model for code, a. -
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. -
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. -
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. -
Microsoft expands support with The Eclipse Foundation
At Microsoft, our goal is to empower all developers to be successful building any application, using any language, on any platform. -
Introducing Distributed Data Parallel support on PyTorch Windows
Model training has been and will be in the foreseeable future one of the most frustrating things machine learning developers face.
Microsoft Open Source
Open Source enables Microsoft products and services to bring choice, technology and community to our customers.
