[hpc-announce] Call for Presentations: Sixth Chameleon User Meeting (April 15-16, Boulder) #AIReadyScience

[Marc Richardson]

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Event title: Sixth Chameleon User Meeting - April 15-16, 2026

Location: NCAR Mesa Lab, Boulder, CO

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The Chameleon team invites presentation proposals for the Sixth Chameleon User Meeting, to be held April 15-16, 2026 at the NCAR Mesa Lab in Boulder, Colorado.

View the full Call for Presentations: https://urldefense.us/v3/__https://chameleoncloud.org/blog/2025/12/13/call-for-presentations-chameleon-user-meeting-2026/__;!!G_uCfscf7eWS!eFniHcq4hVQxjDa0CCRMO6GPZ33kzDtKHXG74osSRE4vnqKcWGqdh1x1ISzxDcn5c4fCpA63Vkf5kn9i6FgsKSM3VjYoxjDTQw$ 

Meeting Objective: This year's meeting focuses on understanding infrastructure needs for computer science research and education in Artificial Intelligence (AI) and Machine Learning (ML). Following the meeting, we will publish a community report documenting infrastructure requirements, challenges, and community recommendations for advancing AI research systems.

Please submit proposals by February 13, 2026 to presentations at chameleoncloud.org<mailto:presentations at chameleoncloud.org>.

Proposals should be in PDF format, no longer than 2 pages, and include:


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Project Description: (One paragraph or less) A brief but clear description of your AI research or education experiment: What research problem does it address or what educational objectives does it serve? (What is the hypothesis or teaching objective? Why is it important?) How does the experiment or class setup capture this research problem?
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Infrastructure Requirements and Usage: Describe your experiment and how it uses (or would use) Chameleon resources: What resources does it need and how many? How do those resources need to be configured? What experimental environments are required and how are they configured? What platforms or tools did you use? How long does the experiment run and what type of data does it produce?
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Challenges and Insights: What were the most important obstacles you encountered in conducting your AI research or education on infrastructure – and how did you overcome them? Were challenges at the infrastructure level (hardware availability, GPU access), configuration level (cluster setup, resource orchestration), experimental workflow execution, or data management? What worked well? What didn't? What features or capabilities would improve your ability to conduct AI research or education?
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Future Needs: (One paragraph or less) Looking forward, what infrastructure capabilities, configurations, or services would best support your AI research or education? What should improve in the platform to better serve the AI research and education community?

Submission Details:

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Format: 2-page PDF proposals
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Deadline: February 13, 2026 at 11:59 PM (any time zone)
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Submit to: presentations at chameleoncloud.org<mailto:presentations at chameleoncloud.org>
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Notification: February 16, 2026

Your submission email should include:

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presentation title
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author names and affiliations
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Chameleon project ID(s)
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contact email
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interest in full paper submission.

Travel Support: Top selected abstracts will receive travel reimbursement for one presenting author per abstract. Accepted presenters will deliver ~15-minute presentations and participate in panel discussions and the community report.

Meeting Structure:

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April 15: Main workshop with presentations and panel discussions
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April 16: Tutorials, AI Education mini-symposium, and Reproducibility in AI mini-symposium

Registration is now open at: https://urldefense.us/v3/__https://chameleoncloud.org/chameleon-cloud-users-meeting/sixth-chameleon-user-meeting/__;!!G_uCfscf7eWS!eFniHcq4hVQxjDa0CCRMO6GPZ33kzDtKHXG74osSRE4vnqKcWGqdh1x1ISzxDcn5c4fCpA63Vkf5kn9i6FgsKSM3VjY1ZNoyoQ$ 

For questions, send mail to mtrichardson at uchicago.edu<mailto:mtrichardson at uchicago.edu> or contact at chameleoncloud.org<mailto:contact at chameleoncloud.org>.

Chameleon is an NSF-funded experimental platform and part of the NSF NAIRR Pilot providing free access to bare-metal and virtual resources for computer science research and education, including GPUs, FPGAs, and more. Create an account at chameleoncloud.org<https://urldefense.us/v3/__http://chameleoncloud.org/__;!!G_uCfscf7eWS!eFniHcq4hVQxjDa0CCRMO6GPZ33kzDtKHXG74osSRE4vnqKcWGqdh1x1ISzxDcn5c4fCpA63Vkf5kn9i6FgsKSM3VjaP-4Msbw$ >.

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Marc Richardson

Technical Project Manager, Nimbus Project<https://urldefense.us/v3/__http://nimbusproject.org/__;!!G_uCfscf7eWS!eFniHcq4hVQxjDa0CCRMO6GPZ33kzDtKHXG74osSRE4vnqKcWGqdh1x1ISzxDcn5c4fCpA63Vkf5kn9i6FgsKSM3Vja3tVL6lw$ >, Chameleon<https://urldefense.us/v3/__https://chameleoncloud.org/__;!!G_uCfscf7eWS!eFniHcq4hVQxjDa0CCRMO6GPZ33kzDtKHXG74osSRE4vnqKcWGqdh1x1ISzxDcn5c4fCpA63Vkf5kn9i6FgsKSM3Vjb7nREtVQ$ >

The University of Chicago

John Crerar Library, Room 295