Powerful AI requires more than advanced models—it depends on infrastructure that is reliable, observable, fast, and efficient.
Spend one day building practical tools for mining infrastructure data, intelligent model routing, or AI reliability. Compete for a share of our $10,000 cash prize pool. Choose one challenge track or combine ideas across multiple tracks.
We’ll provide APIs📊, inference credits for every participant, public infrastructure datasets🛠️, a starter notebook and a community of builders 🤝 to support you throughout the hackathon.
After the competition, join the AI Reliability Summit, featuring industry leaders, founders, and investors discussing the future of AI infrastructure and reliability. Wrap up the day with an evening networking reception providing food, beer, and non-alcoholic beverages.
Timeline-
8:00 AM — Doors Open, Breakfast & Networking
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9:00 AM — Welcome Keynote
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9:30 AM — Hackathon begins
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12:00 PM — Lunch
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3:30 PM — Project Submissions Close
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3:50 PM — Finalist Demos
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4:30 PM — Keynote
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5:00 PM — Awards & Ceremony
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5:30 PM — The Future of AI Infrastructure Panel
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5:50 PM — AI Reliability Beyond the Model Panel
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6:10 PM — Beer & Wine Service Begins
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6:30 PM — Networking Reception
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8:00 PM — Event Concludes
Boris Scholl. VP & Architect, Cloud & AI Engineering at Microsoft.
Vijay Vusirikala. Distinguished Lead - AI Systems & Networks at Arista.
Panel: AI Reliability Beyond the ModelVijay Krishnan. Founder & CTO of Turing.com.
Jared Quincy Davis. Founder & CEO of Mithril.
Featured KeynoteMuckai Girish. Co-founder & CEO of Rockfish Data.
William Vambenepe. VP of Product at Mithril.
❓ Good to knowWho should join
University students, researchers, developers, founders, and industry professionals
Team format
Teams up to 5
What to bring
Laptop and charger
Food and drinks
Lunch and dinner provided · Non-alcoholic options available
Beer and wine available for guests 21+ with valid ID
Registration
Free to attend
Requirements
What to Build
Track 1 — Root Cause Analysis
What you’ll get
Real telemetry — metrics, traces, and logs — from multiple clusters, plus labelled incidents with known answers.
Challenge
Build an accurate and efficient agent that finds the root cause of real failures.
Good fit if you like…
Agent frameworks, evals, debugging distributed systems
Track 2 — Cluster Efficiency
What you’ll get
Real telemetry from a large cluster, plus API access to MantisGrid AI insights about performance, uptime, and cost.
Challenge
Build an interactive dashboard to showcase cluster behavior and find inefficiencies.
Good fit if you like…
Data analysis, visualization, turning numbers into business outcomes
Prizes
Best Overall
Best Solution - Track 1
Best Solution - Track 2
Most Innovative - Track 1
Most Innovative - Track 2
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Sanyogita S
Yuan Li
Randolph Chung
Judging Criteria
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Technical Execution
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Innovation / Wow Factor
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Potential Impact
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Presentation
Questions? Email the hackathon manager
Invite others to compete
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