Discrete Device Assignment — GPUs
First published on TECHNET on Nov 23, 2015 This is the third post in a four part series. My previous two blog posts talked about Discrete Device Assignment ( link ) and the machines and devices necessary ( link ) ... continue reading
Discrete Device Assignment — Description and background
First published on TECHNET on Nov 19, 2015 With Windows Server 2016, we're introducing a new feature, called Discrete Device Assignment, in Hyper-V. Users can now take some of the PCI Express devices in their systems and pass them through ... continue reading
Discrete Device Assignment — Machines and devices
First published on TECHNET on Nov 20, 2015 In my last post , I talked about a new feature of Windows Server 2016, Discrete Device Assignment. This post will discuss the machines and devices necessary for making this feature work ... continue reading
Hyper-V Replica BPA Rules
First published on TECHNET on Oct 01, 2013 A frequent question from our customers is on whether there are standard “best practices” when deploying Hyper-V Replica (or any Windows Server role for that matter). These questions come in many avatars ... continue reading
Microsoft and NVIDIA bring GPU-accelerated machine learning to more developers
With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale. This week, we are excited to announce two integrations that Microsoft and NVIDIA have built together to unlock industry-leading GPU ... continue reading

Azure Machine Learning service now supports NVIDIA’s RAPIDS
Azure Machine Learning service is the first major cloud ML service to support NVIDIA’s RAPIDS, a suite of software libraries for accelerating traditional machine learning pipelines with NVIDIA GPUs. Just as GPUs revolutionized deep learning through unprecedented training and inferencing ... continue reading

Build your own deep learning models on Azure Data Science Virtual Machines
As a modern developer, you may be eager to build your own deep learning models but aren’t quite sure where to start. If this is you, I recommend you take a look at the deep learning course from fast.ai. This ... continue reading

Fine-tune natural language processing models using Azure Machine Learning service
This blog post was co-authored by Li Li, Software Engineer II and Todd Hendry, Principal Software Engineer, Microsoft AI Platform. In the natural language processing (NLP) domain, pre-trained language representations have traditionally been a key topic for a few important ... continue reading
Getting started with the Azure Pricing Calculator
Most infrastructure architects can clearly detail their on-premises capability or requirements, often accompanied by a Visio diagram. Defining a Cloud version of that same capability can be a little trickier. With services in the Cloud charging on a "Pay as ... continue reading

Top 10 Networking Features in Windows Server 2019: #2 Propelling broadcast video with DPDK on Windows
Share On: Twitter This blog is part of a series for the Top 10 Networking Features in Windows Server 2019! -- Click HERE to see the other blogs in this series. Don't forget to tune in next week for the ... continue reading