The challenge
We’re inviting developers to build and submit projects that show how AI can be optimized for Arm-powered platforms across three challenge tracks: Physical AI, Cloud AI, and Mobile AI. Submissions should show clear optimization work and measurable improvements where possible.
Optimizations to look for include:
- Model size
- Model quality
- Model speed
- Inference server speed
- Developer experience
- Arm-specific optimization
Developers can use Arm Performix to get exact benchmarks of their Arm based performance and clearly show their results.
Tracks / categories
- Physical AI: Optimize AI for real-world systems, including robotics, embedded devices, sensors, simulation, autonomy, and edge environments.
- Cloud AI: Optimize AI for scalable infrastructure, including Arm64 cloud, inference performance, frameworks, agents, and production-ready developer workflows.
- Mobile AI: Optimize AI for on-device constraints, including performance, privacy, latency, battery efficiency, and local AI experiences on Arm-powered phones, tablets, and laptops.
Required tech & constraints
- Projects must be built with required developer tools and meet project requirements.
- Submissions for Track 1 & Track 2 must include a copy of the project’s source code, either attached directly or linked to an open-source repository.
- Submissions for Track 3 must include proof artifacts (links/screenshots) as described in the track requirements.
- Participants must be above the legal age of majority in their country of residence. All countries/territories are eligible, excluding standard exceptions.
Submission requirements
- A URL to your public and open-source code repository (e.g., GitHub) with an MIT or Apache 2.0 license.
- A text description explaining the features and functionality of your Project, including:
- Project Overview: Brief description, purpose, what makes it interesting, and why it should win.
- Functionality / Output: What the project does and the final output.
- Setup Instructions: Step-by-step instructions to build/run/validate on an Arm-powered device or Arm64 environment.
- A demonstration video (optional but recommended):
- Less than three (3) minutes long.
- Must show the Project functioning on the device for which it was built.
- Publicly visible on YouTube, Vimeo, or Youku.
- Must not include third-party trademarks or copyrighted material without permission.
Judging criteria
- Technological Implementation (40 points): Quality of software development, leverage of Arm-powered platforms, soundness of technical approach.
- User Experience / Developer Experience (15 points): Clarity of instructions, documentation structure, reusability potential.
- Potential Impact (20 points): Usefulness to the developer community, creation of reusable artifacts.
- “WOW” factor (25 points): Creativity, compelling approach, usefulness, clarity, ability to capture attention and communicate value.
Prizes
- Overall Winner: $3,000 cash + featured in Arm Community Blog.
- Overall Runner Up: $2,000 cash + featured in Arm Community Blog.
- Best in Category: Physical AI: $1,000 cash + featured in Arm Community Blog.
- Best in Category: Cloud AI: $1,000 cash + featured in Arm Community Blog.
- Best in Category: Mobile AI: $1,000 cash + featured in Arm Community Blog.
Total prizes: $8,000 in cash.