Webinar Description: Beyond More GPUs: The Cost-Effective Way to Scale AI Research Infrastructure
Artificial Intelligence is transforming research, teaching, and innovation across higher education, but many university IT environments are struggling to keep pace. Traditional approaches to scaling infrastructure, such as continually adding more GPUs, can drive up costs, complexity, and resource-management challenges.
Join 101 Data Solutions and Liqid for an insightful webinar exploring a smarter approach to AI infrastructure. Discover how composable infrastructure enables universities to dynamically allocate compute, storage, and GPU resources exactly where and when they are needed, maximising utilisation while reducing costs.
Through real-world examples, including how the University of Groningen accelerated research outcomes using Liqid, we’ll demonstrate how institutions can modernise their infrastructure without costly overprovisioning.
Your Infrastructure's Hidden Superpowers: What You'll Learn
You’ll learn how Liqid can unlock the full potential of your existing infrastructure, helping you maximise performance, flexibility and efficiency.
- Why traditional infrastructure models are struggling to support AI workloads
- The limitations and costs associated with simply adding more GPUs
- How Liqid’s composable infrastructure seamlessly integrates into existing environments
- How universities can improve resource utilisation and reduce infrastructure spend
- Real-world higher education success stories and measurable outcomes
