Sustainable, On-Premise AI and HPC Solutions for Real World Use Cases

Sustainable, on-premise AI and HPC deployments are becoming essential for organizations that need low-latency performance, data control, and predictable operating costs while still reducing energy use. This talk will explore how real-world use cases—from simulation and analytics to industrial AI and high-density compute—can be supported with architectures that balance performance, resilience, and sustainability.
A central theme is the role of advanced liquid cooling in making dense AI and HPC systems practical at scale. Iceotope’s precision liquid cooling approach helps eliminate hotspots, reduce fan and airflow overhead, improve energy efficiency, and support higher rack densities, which are all critical for modern GPU-intensive workloads. Its rack-based, direct-to-component design also simplifies deployment and can enable heat capture for reuse, strengthening the sustainability case for on-premise infrastructure.
Equally important is the infrastructure layer that surrounds the compute stack. LAUDA contributes thermal management and temperature-control expertise that supports stable operation of demanding systems and helps create a more reliable environment for long-running workloads. In this context, robust infrastructure is not just a supporting detail; it is a core enabler of uptime, repeatability, and efficient thermal performance.
Together, these technologies illustrate a practical path forward for enterprises that want the benefits of AI and HPC without relying entirely on hyperscale cloud environments. The talk will show how liquid cooling and infrastructure design can work in tandem to support deployment flexibility, operational efficiency, and sustainable growth for real-world workloads.