Offering cutting-edge AI infrastructure, including storage, computing, networking, training and support, are critical needs for the UW. The UW is working to become a leader in deployment of AI through a blend of on-premises, off-premises and cloud infrastructure coupled with high throughput networking. This deployment, which is being support through external partnerships, includes:
- Data Center Development: Building a scalable, flexible data center model to meet the computational resource needs of the UW campus for the next decade.
- Agile Resource Deployment: Implementing a dynamic system for deploying GPU, CPU and storage resources that can quickly adapt to the changing demands of research and education.
- Software Engineering Support: Employing specialized software engineers to support and train the UW community in optimizing computationally intensive research and maximizing resource use.
- High-Throughput Networking: Investing in advanced networking solutions for rapid data transfer and seamless connectivity between on-premises and cloud resources, including high-end wired and wireless capabilities for users across academic and medical campuses.
- Strategic Industry Partnerships: Collaborating with tech industry leaders to access scaled resources and cutting-edge testbeds, ensuring UW remains at the forefront of AI innovation.
Key factors for success will include investing in top-tier technologies, collaborating with industry leaders for access to scaled resources or testbeds and developing guidelines for safe and ethical AI use. Expanded access to advanced AI infrastructure and leading in best practices will equip students and researchers with essential tools, improve operational efficiency and strengthen UW’s competitive edge. These advances will help the UW continue to capitalize on opportunities in AI research and education and attract top talent and funding.