Arm accelerates cloud migration to Neoverse processors
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Arm is introducing a range of updates to the cloud migration support provided to developers, making it even easier for developers to accelerate software migration with dedicated resources, community engagement, and direct engineering support.
With more Arm-based cloud instances available than ever before, the number of developers migrating from legacy platforms to Arm is growing rapidly. The pursuit of greater energy efficiency, improved performance, and expanded options drives this migration. Modern, cloud-native, and AI-enabled software on Arm lowers the total cost of ownership and supports progress toward reducing carbon footprints through energy efficiency. As a result, Arm is updating its cloud migration resources and adding new channels for developer engagement, including:
Cloud Migration Resource Hub — enables developers seeking relevant resources for migrating common workloads to use this portal to access over 100 step-by-step Learning Paths for migrating major workloads across multiple cloud platforms. Additionally, the Software Ecosystem Dashboard for Arm provides up-to-date information on compatible Arm versions of major open-source and commercial software components.
Community Support — allows developers to seek answers from Arm’s vibrant ecosystem of experts. Developers can access the migration-specific GitHub and join the Arm Developer Program for upcoming webinars, tutorials, expert sessions, and more.
Engineering Experts for Enterprises — a team of Arm Cloud Migration experts with whom developers can interact directly regarding specific Arm migration needs.
According to Bhumik Patel, Director of Server Ecosystem Development at Arm, a significant number of organisations are already transitioning their workloads to take advantage of these benefits. Companies such as Uber are in the process of migrating their entire platform, including more than 5,000 services, to Arm-based hosts for improved price-performance, access to the latest AI-optimized silicon, and to reduce their overall carbon footprint. Spotify is experiencing approximately 250% better performance on Arm-based Axion compared to workloads running on Google Cloud to date, and Datadog has transferred 70% of its workloads to Arm-based AWS Graviton.
Further, in the cloud, developers moving AI workloads can take advantage of Arm Kleidi integrations in the latest generation of leading frameworks like PyTorch and automatically benefit from dramatic AI performance improvements on Arm without taking any extra steps. Also, the availability of the Arm extension for GitHub Copilot makes Arm-based technology more accessible and simplifies migrations to the Arm architecture while reducing development time and costs.
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