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SCU Hack-a-Stack - Endurance Track

devpostHosted on Devpost

Fetched about 2 months ago

Saturday, May 16, 2026

to Sunday, May 17, 2026

•

1 day long

Artificial IntelligenceProductivityVoice Skills

Event Type

in person

14

Participants

$5,500

Prize Pool

1

Est. Projects

About the challenge

SCU Hack-a-Stack's Endurance Track will feature 5 submission tracks. The following tracks will leverage the tech-stack or functionality of the following sponsors:

Cisco:

AI Factory Ops: Engineering the Infrastructure Behind AI Competitors will be provided with a small synthetic dataset for an AI cluster. The dataset would serve as the environment, but the challenge would be to build AI-assisted tools that support operational decision-making. To make it accessible, each subtrack functions as a constrained decision problem.
  1. AI App Performance Advisor
    Given traffic, latency, error, and GPU usage data, recommend actions such as adding capacity, reducing load, rerouting traffic, or investigating errors. Example outcomes: lower latency, fewer failed requests, and better GPU usage.
  2. GPU Job Placement Challenge
    Given AI jobs that need different numbers of GPUs and a set of available GPU nodes, decide where jobs should run. Example outcomes: lower wait time, fewer idle GPUs, and fewer blocked large jobs.
  3. AI Job Failure Detective
    Given alerts, logs, metrics, and short runbooks, rank likely causes and recommend recovery actions such as retry, restart, move job, reduce load, or escalate. Example outcomes: better root-cause matching, faster recovery, and fewer wasted GPU hours.

SCU Ciocca Center

Adal

VoiceOS/HypeScribe

Future Unicorn

To be eligible to win a top 3 overall award, you must submit to both the Sprint track and the Endurance track.

Sponsors

HypeScribe image

HypeScribe

www.hypescribe.com

Butterbase image

Butterbase

butterbase.ai

Cisco image

Cisco

www.cisco.com

Tencent Cloud image

Tencent Cloud

www.tencentcloud.com

Adal image

Adal

sylph.ai

Redis image

Redis

redis.io

Y Combinator image

Y Combinator

Stream image

Stream

getstream.io

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct