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
