TechPrufer
Get started
Microsoft
Microsoft logoMicrosoft · Feature trail

Azure AI and HPC Infrastructure Expansion

3 posts · Dec 2020

What this trail covers

This thread tracks the expansion of Azure's AI and High-Performance Computing (HPC) infrastructure through new virtual machine offerings powered by AMD's latest AI and EPYC datacenter processors. It introduces Azure HDv2 VMs for demanding CPU workloads in AI data preparation, search, reinforcement learning, and agent coordination, featuring high core counts, substantial RAM, NVMe storage, and high-speed networking. Azure HXv2 VMs are announced as an evolution of the HX series, further optimizing for silicon design and technical computing with improved single-threaded performance, cache, and 800 Gb InfiniBand. ND MI455X v7 VMs are introduced for production-scale AI inference workloads, powered by the AMD Helios rackscale solution.

All Microsoft trails
  1. Using Azure Machine Learning from GitHub ActionsThis post details how to integrate Azure Machine Learning with GitHub Actions for CI/CD pipelines. It explains the rationale for using both services, highlighting GitHub Actions' strengths in code management, workflow orchestration, and deployment control, while Azure Machine Learning is suited for long-running, compute-intensive training jobs. The post provides three methods for integration: using the Python SDK, the Azure ML CLI, and dedicated GitHub Actions for Azure ML. Each method is accompanied by code examples and explanations for setting up workflows, logging into Azure, and submitting ML jobs or deploying models.