Changes to Globus OneDrive Connector 

As part of the University Microsoft Account and Data Migration Project, HCC now introduces the nebraska.edu OneDrive Globus endpoint used to transfer data to and from your nebraska.edu OneDrive account and other Globus Endpoints. 

This feature is currently only available to students, staff, faculty and affiliates at the University of Nebraska at Kearney, the University of Nebraska-Lincoln, and the University of Nebraska at Omaha. 

On how to activate this Globus endpoint, please see Activating nebraska.edu OneDrive on Globus. 

After the Microsoft Account and Data Migration Project completes in January 2026, the existing UNL OneDrive endpoint on Globus will be removed, with the nebraska.edu OneDrive endpoint being the only one supported. 

PLUMAGE Upgrade for Swan 

HCC is pleased to announce the general availability of the PLUMAGE resource as part of Swan. PLUMAGE (Promoting Learning Using Mixed Advanced GPU Environments) is an NSF-funded GPU hardware resource designed to enhance the ability of NU researchers to conduct cutting-edge science. 

PLUMAGE consists of an initial fifteen nodes, each with four NVIDIA L40S GPUs with 48GB RAM. Thirteen of the nodes are available now in Swan as part of the general access gpu partition. In order to request L40S resources, please see the documentation page. 

The two remaining nodes have been allocated to the National Research Platform to serve NU researchers’ needs there. 

A further three nodes each with two NVIDIA H200 GPUs are also part of PLUMAGE, and expected to be available by the end of December. 

HCC held free Introduction to Artificial Intelligence and Machine Learning using HCC Workshop using PLUMAGE in November 2025 and will host another run of the workshop in the Spring 2026.  

If you have any questions about using these new resources, please email [email protected]. 

HCC In The News

Advanced materials research is first Nebraska-led project to earn prestigious NSF award 

Student Class Data Reminder 

With the end of the semester approaching, HCC would like to remind students using HCC resources for classwork as part of a class group about the Class Group Policy 

Namely, class group directories will be cleaned on the last day of the semester, December 19th. This includes locking HCC accounts created solely for the class and permanently deleting any student data in the class group directories. We strongly suggest students to move any important data from these directories elsewhere before December 19th. To continue using HCC resources as part of a research or creative activity group, please submit the Change/Add groups Form. 

For more details, please see the Class Group section of HCC’s Policies. 

Additional Resources on Swan 

Swan has two additional partitions to gain opportunistic access to additional CPU and GPU resources for your workflows, guest and guest_gpu. These partitions can be used by anyone with an HCC account.  

Jobs running on these partitions will run on resources owned or leased by other HCC research groups. When the resources are needed by the resource owners these jobs are preempted, meaning that guest jobs will be cancelled and returned to the queue in a pending state until they can be started on another node.  

The guest and guest_gpu partitions can provide significant throughput for jobs that are short and/or support checkpointing. HCC recommends verifying job behavior will support the restart and modifying job scripts if necessary. 

There are currently 109 CPU nodes and 36 GPU nodes in these partitions available for use.  

More details on the guest and guest_gpu partitions can be found here. 

HCC Holiday Schedule 

In accordance with the NU holiday schedule, HCC staff will be on break from Wednesday, December 24, 2025, through Friday, January 2, 2026. All HCC resources will continue to be operational during this break.

HCC staff will be monitoring the systems to ensure availability through the break. HCC User Services staff will be periodically monitoring the ticketing system during the break and will address any system critical issues. Non-critical tickets/issues will be addressed when we return after the winter break on January 5, 2026.

Please email [email protected] if you have any questions.

Upcoming Training Opportunities! 

HCC will be hosting a webinar titled “GP-ENGINE - Using the National Research Platform in the Classroom” on December 11th. For more information, please see here.

For more events in 2026, please check the Upcoming Events page. 

Looking to reduce your wait time on Swan? 

HCC wants to hear more about your research! If you acknowledge HCC in your publications, posters, or journal articles, you can receive a boost in priority on Swan! 

Checkout the links below for more information!

Submit a request for the priority boost

https://hcc.unl.edu/acknowledgement-submission 

Details on Acknowledgement Credits

https://hcc.unl.edu/docs/submitting_jobs/hcc_acknowledgment_credit/ 

 HCC Summary for the last Month: 

CPU Hours Utilized

GPU Hours Utilized

New Software Installs

Data Stored

6.8 Million Hours

119,600 Hours

8 Software Packages

~3,600 TiB

Training Events in the last month:

GP-ENGINE - Migrating AI/ML workflows to Nautilus
Introduction to Artificial Intelligence and Machine Learning using HCC

Additional Computational Resources

  • The National Research Platform (NRP) provides free access to a variety of distributed CPUs, GPUs and storage, arranged into a Kubernetes cluster. For more information, please see https://hcc.unl.edu/docs/nrp/.  

  • OSG Consortium provides free access to distributed compute and storage resources suitable for high throughput computing. For more information, please see https://hcc.unl.edu/docs/osg/. 

  • PATh provides free, dedicated and distributed compute resources to NSF funded projects. For more information, please see https://path-cc.io/. 

  • The NAIRR Pilot provides free Researcher and Classroom and Educator Resources for U.S. researchers and educators. For more information, please see https://nairrpilot.org/. 

  • ACCESS allocations are free and available to any U.S.-based researchers or educators. For more information, please see https://access-ci.org/.