Accelerate Innovation Through Strategic AI Partner Alliances
On-device AI is exploding, and most of the machine learning behind this trend is happening on Arm technology. Arm’s extensive AI ecosystem simplifies AI deployment on intelligent endpoint devices by providing best-in-class tools, algorithms and applications to businesses worldwide.
By creating and nurturing strategic alliances that empower its ecosystem to drive innovation, Arm focuses on helping its partners reach developers and decision-makers within their target markets.
Arm AI partners provide a wide range of hardware and software solutions for developers to easily prototype and produce AI devices, while Arm supports its partners through technical support and resources, co-marketing, and event opportunities.
The Arm AI Partner program offers access to exclusive resources that help optimize technology and grow businesses.
Business expansion support through matchmaking, co-marketing via Arm’s marketing channels, and the opportunity to exhibit at Arm’s events around the world.
Valuable access to technical enablement resources, direct engagement with Arm engineers, and exclusive insights on upcoming technologies.
We’re committed to helping our partners deliver innovative and intelligent solutions to our mutual customers. To become an Arm AI partner you must meet the following criteria:
- Have a verifiable and commercially available AI application based on Arm (CPU/GPU)
- Be willing to share use cases and business insights with Arm
- Sign the Arm AI Partner Program end-user license agreement
Complete the partner registration form. You’ll be asked several questions about your business and current use of Arm IP for machine learning solutions.
Arm AI Partners represent leading global AI software and hardware providers ready to help support your next AI project.
tinyML is a fast-growing field of machine learning (ML) technologies and applications implemented by Arm and Google to enable ultra-low power ML at the edge. See how tinyML can help solve computer vision, audio recognition, speech recognition, and natural language processing challenges.