We're looking for two undergraduate researchers to join the Chameleon team this fall, funded by NSF's Research Experiences for Undergraduates program. One position works on Trovi and artifact reproducibility, the other on automated verification of testbed hardware. Roughly 10 hours a week, and remote applicants are welcome.

Fantastic news on Chameleon: our users are back in force – welcome to the new academic year! In the August newsletter we are looking for REU students, looking forward to meeting at least some of you at multiple upcoming research events, and looking after your needs in the changelog announcements. In particular, one interface for bare metal and VMs has finally landed – as have OpenStack upgrades!

Join the Chameleon team in person at PACT 2026 in Chicago on October 19th for a hands-on tutorial covering the full experimental lifecycle on Chameleon—from resource discovery and hardware allocation to packaging reproducible artifacts on Trovi.

Join the REPETO project's BoF session at VLDB '26 on September 3 to learn how to package and reproduce database research experiments on Chameleon and Trovi.

Whether you're choosing a GPU, a memory-heavy node, or a cluster of homogeneous machines, Chameleon Resource Discovery helps you plan both the hardware and the timing—across bare metal, VMs, and every site.

Great news on Chameleon! I hope everybody is enjoying the vacation – in the meantime, in the July edition of Chameleon newsletter we are looking for REU students, looking at 10 years of Chameleon in a paper just presented at PEARC'26, and hope to see you at the MERIF workshop – read on, if you would like to represent Chameleon as a user. Our changelog has important announcements of upcoming changes in how bare metal versus VM instances are managed, news of base Chameleon Infrastructure (CHI) upgrades, and resource discovery for VM flavors.

Join the REPETO project's BoF session at OSDI '26 on July 13 to learn how to package and reproduce systems experiments on Chameleon and Trovi.

This month we're reminding you not to miss out on limited-time Ponte Vecchio (Intel GPU) nodes and the plentiful hardware available at CHI@NCAR, previewing a redesigned Resource Discovery browser, adding ccauth support to python-chi, improving long-running commands on CHI@Edge, retiring the vendor-data service, and refreshing our documentation. In the community, Kate Keahey delivered a keynote at the ISC High Performance 2026 Reproducibility Workshop.

Modern AI systems are often limited not only by how much computation they perform, but also by how much data they need to move. AttenIO, developed by Xiaoyang Lu at Illinois Institute of Technology, is an I/O-driven accelerator for exact long-sequence self-attention that achieves up to 3.4× speedup over FlashAttention-2 by applying principled I/O analysis to minimize data movement across the memory hierarchy.

If you're a student trying to use Chameleon for research but can't figure out how to get access, you're not alone. This guide walks through all the available paths onto the system — from joining a PI's project to using Daypass to explore without any allocation at all.