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NSCC Profiling AI Software Bootcamp

openhackathonsHosted on Open Hackathons

Fetched 1 day ago

Monday, May 25, 2026

to Tuesday, May 26, 2026

•

1 day long

Artificial IntelligenceMachine LearningStudentMentorshipCommunity

Event Type

in person

The National Supercomputing Centre (NSCC) Singapore, along with NVIDIA and the OpenACC organization, will host an intensive Profiling AI Software Bootcamp on 25-26 May. Day 0 (May 25) cluster dry run session will be online. Day 1 (May 26) will be held in-person. Designed to empower users to move beyond standard computing, this bootcamp offers a hands-on opportunity to master NSCC’s GPU resources and better understand the complexities of NSCC’s multi-node GPU architecture.The Profiling AI Software Bootcamp covers the process and tools needed to profile AI and machine learning applications to fully utilize high-performance systems. Attendees will learn to profile applications using NVIDIA Nsight Systems, a system-wide performance analysis tool; analyze and identify optimization opportunities; and improve performance of applications to scale efficiently across systems of any quantity or size of CPUs and GPUs. Additionally, this bootcamp will walk through the system topology to learn the d

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