“Our goal is to ensure developers have comprehensive support and access to in-depth resources for a seamless migration to Arm, enabling them to fully maximize the benefits of Arm in the cloud,” wrote Bhumik Patel, director of server ecosystem development at Arm in his own blog post.
Through its Learning Paths tutorials along with workload-specific technical walk-throughs, developers can receive assistance across the various stages of a migration project and can directly engage with Arm cloud migration experts for project support.
The Cloud Migration Resource Hub provides resources on migrating the most common workloads with over 100+ step-by-step Learning Paths for migrating major workloads across multiple cloud platforms. In addition, the Software Ecosystem Dashboard for Arm provides up-to-date information on compatible Arm versions of major open source and commercial software components.
In the cloud, developers moving AI workloads can use Arm Kleidi integrations in the latest generation of leading frameworks like open-source machine learning framework, PyTorch and benefit from dramatic AI performance improvements on Arm without taking any extra steps., experts say.
“These updates will have an immediate impact in assisting cloud developers in making their move to Arm, but it’s not the only investment we’re making to ensure Arm is the most developer-friendly platform,” Patel wrote.
