About this event
The DigitalOcean Gradient™ AI Hackathon challenges developers, builders, and creators to design and launch new, working AI-powered applications using DigitalOcean Gradient™ AI’s full-stack features. From model training to deployment, this hackathon is about shipping real, production-ready AI — not just prototypes.
Whether you’re exploring AI for the first time or scaling advanced machine learning workflows, this is your opportunity to build impactful applications on a developer-first cloud platform designed for speed, simplicity, and scale.
Why join?
Learn to build and deploy full-stack AI apps with DigitalOcean Gradient™ AI.
Experiment with GPU-powered AI infrastructure and production-ready workflows.
Compete for cash prizes and build something you can showcase.
Get Started
Signup for a DigitalOcean account!
Check out the DigitalOcean Gradient™ AI documentation
Check out DigitalOcean's general documentation
About DigitalOcean
DigitalOcean is the cloud built for developers. With powerful infrastructure, predictable pricing, and intuitive tools, DigitalOcean makes it easy for startups and growing teams to build, deploy, and scale applications without unnecessary complexity.
About DigitalOcean Gradient™ AI
DigitalOcean Gradient™ AI is a full-stack AI platform that simplifies the entire machine learning lifecycle. With GPU-backed compute, flexible workflows, and seamless deployment, Gradient AI enables developers to move from idea to production faster all within DigitalOcean’s unified cloud ecosystem.
In Partnership with Major League Hacking
This hackathon is proudly supported by Major League Hacking (MLH), the global leader in developer hackathons. MLH empowers builders worldwide through inclusive, high-quality events and provides participants with access to resources, tooling, and community to help them succeed.
FreeLimited Spots
Date
March 18, 2026
Time
09:00 PM - TBA
Location
Online
By registering, you agree to the host's Terms & Conditions.
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"The most comprehensive session I've attended this year."
— Previous Attendee