Arm Expands Flexible Access Program to Boost On-Device AI Adoption
Arm Holdings announced on Monday that it is broadening its Flexible Access licensing program to include its Armv9 edge AI platform. The move aims to attract startups and device manufacturers working on on-device artificial intelligence, helping them reduce costs and speed up design and development cycles.
The Flexible Access program gives companies the ability to use Arm’s chip design tools and training resources at little or no cost, allowing them to build and test chip prototypes before committing to a full license.
Arm noted that Raspberry Pi, Hailo, and SiMa.ai are among the hardware firms already participating in the program.
Strengthening Arm’s Position in Edge AI
Expanding the licensing program allows Arm to deepen its partnerships with AI startups and on-device AI developers that might otherwise face high entry costs. This strategy could help the company embed its technology across a growing range of AI-powered devices, from smartphones to autonomous machines.
Expanding in a Competitive Market
Arm’s expansion comes as it seeks to strengthen its foothold in the fast-growing edge AI sector, where it competes with established players such as Nvidia and Intel, as well as emerging challengers.
Edge AI enables devices like smartphones, laptops, and self-driving cars to run AI models directly on the device, processing data locally rather than relying on the cloud. This approach improves speed, security, and efficiency — key advantages in modern AI applications.
By the Numbers
According to Arm, over 300 companies have joined the Flexible Access program, resulting in 400 completed chip designs ready for production. Earlier this month, Qualcomm shifted its flagship chips to Arm’s v9 architecture, underscoring Arm’s growing influence in the semiconductor industry.
Market Reaction
Following the announcement, Arm’s stock rose 4% to $172.23, marking a strong market response. As of the previous close, Arm’s shares had gained more than 34% in 2025, reflecting investor confidence in its long-term AI and chip strategy.
