What can you build when generative AI moves off the cloud and onto the device?
Join Arm and Meta ExecuTorch Engineers for a two-day, hands-on hackathon exploring what’s possible with AI on the edge using ExecuTorch and Arm-powered hardware.
Meet Your Hardware
You’ll build on the powerful Alif Ensemble E8 development kit, using its AI-accelerated compute capabilities to push the boundaries of what can run directly on an embedded device. Imagine a device that can see and understand its surroundings, recognize what’s happening, and respond intelligently—all without sending data to the cloud. Or speaking to a device and watching it generate images inspired by your conversation, in real time and entirely at the edge.
Working in small teams, you’ll take an idea from concept to working prototype, combining models, sensors, cameras, audio, and other inputs to create intelligent applications that run locally on the device.
Whether you’re an experienced AI/ML developer or already familiar with the broader PyTorch ecosystem and looking to explore edge deployment, this is an opportunity to experiment with on-device AI, collaborate with other developers, and get hands-on support from Arm and Meta experts.
Put your skills to work as you:
- Learn how ExecuTorch enables efficient AI inference on Arm-powered hardware.
- Build AI applications designed to run locally on resource-constrained devices.
- Combine camera, audio, and sensor data to create intelligent, responsive experiences.
- Experiment with generative AI and other advanced workloads at the edge.
- Develop creative solutions to real-world—or simply fun—problems using edge AI.
Participants will have access to Alif development kits, technical resources, and guidance from Arm and Meta experts throughout the event.
Apply to Participate
Ready to build with us? Apply to participate by joining the hackathon and submitting a project name and short project overview describing what you’d like to build.
Submitting an application does not guarantee participation in the event.
Space at this in-person event is limited, and participation is subject to availability of the Alif Ensemble E8 development kits. After applications close, Arm will review project proposals and notify selected teams to confirm their place at the hackathon.
Compete, win, and keep building.
Prizes will be awarded to the top three teams, with a dedicated prize for the top all-student team. So whether you’re already working in the industry or looking to put your skills to the test as a student, you’ll have an opportunity to showcase what you can build with AI at the edge.
And the opportunity doesn’t end when the hackathon does. Winning participants will be invited to become ExecuTorch Community Ambassadors, opening the door to continued involvement with the community and the opportunity to participate in Arm's ExecuTorch pilot program. Those accepted will gain early access to emerging projects and technologies around the Arm ExecuTorch backend—and help shape what comes next for AI at the edge.
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