One-on-One Consultation

UW-IT offers one-on-one research computing consultations to help identify the most appropriate computing and data solutions for your project. Our experts can evaluate options across campus supercomputing, GPU platforms, and commercial cloud services, and provide guidance on cost, performance, and workflow design. To request a consultation, please complete the Research Computing Consulting Intake form. 

Hyak Klone: UW's Shared High Performance Supercomputing Research Cluster

Hyak Klone is UW’s on-premises, shared high-performance computing (HPC) cluster, designed to support a broad range of research workloads across disciplines. Hyak serves traditional HPC applications, data-intensive workflows, and GPU-accelerated research through a flexible condo model that allows faculty and research groups to purchase dedicated compute resources (“slices”) while benefiting from shared infrastructure and community capacity.

Hyak Klone is well suited for sustained, production research computing needs and supports thousands of UW researchers each year.

Find out about Free Community Access and Purchase options. 

Tillicum: GPU-Accelerated Research Computing Platform

Tillicum is the University of Washington’s next-generation, GPU-accelerated computing platform designed to support cutting-edge research, teaching, and learning in AI, machine learning, data science, and scientific simulation. Operated by UWIT Research Computing, Tillicum provides scalable, high-throughput, GPU-accelerated computing without requiring hardware ownership. 

Tillicum operates under a usage-based allocation model, offering researchers access to GPU-accelerated computing and storage for defined project periods. Researchers only pay for the compute time they used under a pay-as-you-go model.

Tell me more about Tillicum.

Cloud Computing for Research

UWIT works with major commercial cloud providers—including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)—to provide Cloud service offerings that let the UW community and research teams more easily and securely consume cloud computing resources while benefitting from a variety of price breaks. Cloud computing supports research workflows that benefit from elasticity, specialized services, or external collaboration. In partnership with the UW eScience Institute, our consultants help researchers evaluate cloud suitability, estimate and manage costs, and integrate cloud tools into data science and research workflows.

Learn more about Cloud Computing with UWIT.

Computing for Restricted Access Data

UWIT and the Office of Sponsored Projects (OSP) are working together to support researchers handling Restricted Access Data. Our initial efforts focus on Controlled Unclassified Information (CUI), Federal Contract Information (FCI), and meeting NIST 800-171 standards for genomic data. Additional resources for other types of Restricted Access Data will be available soon.

Learn more about Types of Restricted Access Data and Secure Computing Options.

On-site Research Data Storage

UWIT provides cost-effective, on-premises storage solutions to support both active research and long-term data retention:

• Kopah – S3-compatible object storage for active research data and collaboration
• Lolo – High-capacity, geographically redundant archival storage for long-term data preservation and compliance

These services offer secure, campus-hosted alternatives for storing and sharing research data at scale.

Students

Students can get started with research computing through the UW Research Computing Club, which provides training, community, and access to Hyak Klone resources at no cost. Students may also leverage cloud computing credits for coursework and research projects.

Training and Capacity Building

UWIT Research Computing regularly hosts workshops led by our support staff to help researchers get hands-on experience with high-performance computing, GPU platforms, cloud services, and data science tools. We also partner with industry vendors such as AWS, NVIDIA, IBM, and others to provide specialized workshops, training sessions, and demonstrations on the latest technologies and research computing practices. These events are designed to help researchers and students build skills, optimize workflows, and stay current with emerging computational tools.

UWIT Research Computing Events Calendar

Community and Additional Resources 

Research computing at UW is supported through a close partnership between UWIT Research Computing and the UW eScience Institute. Together, we foster a collaborative research community through consulting office hours, workshops, incubator sessions, seminars, hackathons, and hands-on support.

You can visit the Data Science Studio (Physics-Astronomy Building, 6th floor) or connect with the eScience Institute to explore resources, meet collaborators, and get expert help—coffee included.