The Arm Architecture Offers Exceptional Performance and Efficiency
Processors based on the Arm architecture (such as AWS Graviton, Google Axion, and Microsoft Azure’s Ampere-based products) are designed to deliver outstanding performance at a lower cost. Migrating to Arm-based cloud instances can save up to 60% in energy consumption while providing a 50% performance boost, creating new opportunities for developers looking to optimize their workloads. Arm also offers higher density cores, enabling greater scalability and the ability to handle more tasks simultaneously.
Moreover, flexibility is a core consideration in Arm architecture design, ensuring that developers’ products can withstand future tests. When developers migrate their workloads to the Arm platform, they can be compatible across multiple cloud service providers, allowing for flexible application scaling on various Arm-based cloud platforms, including AWS, Google Cloud, and Microsoft Azure.
Successful Customer Cases Based on the Arm Platform
1. Honeycomb Reduced Infrastructure Costs by 50%
2. FusionAuth Increased Login Rates by Up to 49%
The migration to Arm was not just an attempt but a breakthrough. After load testing on Arm-based AWS Graviton instances, FusionAuth found that login rates increased by 26% to 49% compared to traditional systems. Not only was the migration process very smooth, but the company also achieved a cost saving of 8% to 10%. Currently, most of FusionAuth’s cloud infrastructure runs on Arm-based instances, supporting a wide range of use cases from IoT to high-performance cloud platforms.
The Migration Journey Is Simpler Than Expected
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A Detailed Explanation of Why Arm Can Become a Computing Platform Suitable for Various AI Workloads
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Introduction to Virtual Memory (MMU/TLB/Cache) of Armv8-AArch64 – Concept Overview
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Summary of Interrupt Models of Arm GICv2 and GICv3
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