.NET MAUI on Linux with Visual Studio Code
Explore Cross-Platform Development with .NET MAUI on Linux! Dive into the latest release of the .NET MAUI extension for Visual Studio Code, enabling Linux users to develop apps for Android, Windows, iOS, and macOS. This guide offers a step-by-step tutorial on setting up your Linux system for .NET MAUI development, including installation of essential tools and leveraging the C# Dev Kit extension. Whether you're working on Ubuntu or another Linux distribution, this article, enriched with a video walkthrough by Gerald Versluis, simplifies the journey to creating powerful, versatile applications with .NET MAUI.Visual Studio AI Toolkit : Building Phi-3 GenAI Applications
Port Forwarding, a valuable feature within the AI Toolkit, serves as a crucial gateway for seamless communication with the GenAI model. Whether it's through a straightforward API call or leveraging the SDKs, this functionality greatly enhances our ability to harness the power of the LLM/SLM. By enabling Port Forwarding, a plethora of new scenarios unfold, unlocking the full potential of our interactions with the model.Open Azure Day | Microsoft Azure - Run Linux apps your way on Azure Nov 18th
Learn to natively run Linux and open source in the cloud—and push your apps and data to the next level. Join this free digital event to hear about the latest trends and best practices for running Linux on Azure from Microsoft insiders and partners, including Red Hat, SUSE, Canonical, HashiCorp, Elastic, Cloudera, VMware, and Redis Labs.GPU compute within Windows Subsystem for Linux 2 supports AI and ML workloads
Adding GPU compute support to WSL has been our #1 most requested feature since the first release. Over the last few years, the WSL, Virtualization, DirectX, Windows Driver, Windows AI teams, and our silicon partners have been working hard to deliver this capability.Understanding Containers - the layer between the operating system’s kernel and the application
First published on MSDN on Jun 22, 2018 Guest blog by Christo Lolov, Microsoft Student Partner at Imperial College LondonAbout me I am a Third Year, Computing MEng at Imperial College London and a have a number of blogs already published on various areas of technology which interest me see https://blogs.University of Oxford's Interdisciplinary Bioscience Doctoral Training Programme Data Hack
First published on MSDN on Jan 24, 2018 Guest blog by Ellen Pasternack, DPhil candidate at the University of OxfordAbout me Hi! I'm Ellen Pasternack, a DPhil candidate in the University of Oxford's Interdisciplinary Bioscience Doctoral Training Programme.Using Microsoft Azure Data Science Virtual Machines in your teaching and Research Labs
First published on MSDN on Jan 11, 2018 Running Data Science VM on Azure for your data science and deep learning lab resourcesCreate the lab infrastructure as followsUse a shared pool of Ubuntu Data Science VMs (with GPUs if doing deep learning) with each student getting a separate account.Learning more about the Microsoft Data Science Virtual Machine 4th April 6pm–7pm
First published on MSDN on Mar 27, 2017 Public webinar on DSVM This webinar focuses on demonstrating how the Data Science Virtual Machine (DSVM) in Microsoft Azure conveniently enables key end-to-end data analytics scenarios by providing users immediate access to a collection of the top data science and development tools of the industry, completely pre-configured, with worked out examples and sample code.
