Research IT
provides research data and computing technologies, consulting, and community for the UC Berkeley campus. Our goal is to advance research through IT innovation.

Status and Service Updates
No office hours during Spring Break: 3/26-3/27
Research IT will not hold office hours during Spring Break on Wednesday, 3/26 and Thursday, 3/27. Please get in touch with us via e-mail in the meantime and we will be happy to assist you.
Savio HPC Cluster is Back to Service: Fri, 2/21
We have completed the scheduled DDN work, including replacing cables and updating firmware. Savio services have been returned, and your jobs have started running. Remember that Global Scratch is almost running at its maximum capacity. Please remove unnecessary files and directories to help us keep the file system running optimally so that you can conduct productive research.
Savio Downtime: Thurs, 2/20-Fri, 2/21, 2025
DDN engineers will visit the data center to perform cabling work on the Savio parallel file system, which is expected to resolve ongoing filesystem issues. We will shut down the file system at 8:00 AM on Thursday, February 20, and return the service by 5:00 PM on Friday, February 21. A Slurm reservation is in place to prevent jobs from running during the downtime. If you plan to submit jobs, please request proper walltime for them to be completed before 8 AM on February 20. Otherwise, your jobs will wait in the queue until the cluster is back online.
News Articles
Introducing the New Research IT Website
Research IT is very excited to announce the launch of the new Research IT website. The site is now hosted on Open Berkeley to match other campus websites and comes with enhanced security and accessibility features as well as Berkeley branding.
One...Read more about Introducing the New Research IT Website
UC Berkeley Cloud Computing Meetup
UC Berkeley research labs have been at the forefront of the design and planning for much of today's cloud computing industry. Meanwhile the University's own teams run cloud based production systems including those that support the teaching of data
Jupyter notebook streamlines machine translation for researchers
The increasing prominence of interdisciplinary studies, coupled with the mass digitization and dissemination of primary sources and scholarly literature alike, has made it possible for scholars to pursue boundary-defying research agendas in ways that were previously impossible
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