Webinar

Date:
November 2, 2023
Duration:
30 min

Generative Design for Liquid Nitrogen CPU Cooler

Generative-AI: Elevating LN2 Cooling for CPU Performance!
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Discover how generative AI can simplify cooler design together with topology optimization and CFD simulations. Explore a compelling case study showcasing an AI-generated LN2 cooler design that delivers improved heat dissipation, reduced thermal resistance, and enhanced CPU overclocking performance. This webinar highlights the potential of generative AI in advancing extreme cooling technologies, promising to elevate high-performance computing systems to new heights.

This project is in collaboration with Jon Sandstrom (ElmorLabs) and Pieter-Jan Plaisier (SkatterBencher), the current and three-time world record holder for CPU frequency overclocking. With decades of combined experience, Jon and Pieter are known for their work utilizing cutting-edge, extreme cooling techniques, including the use of liquid nitrogen and liquid helium on high-performance CPUs and GPUs.

Agenda

      • Introduction
      • LN2 Cooling and Overclocking
      • Generative AI in Cooler Design Automation
      • Case Study: AI-Generative Designed LN2 CPU Cooler
      • Q&A
      • Discover ColdStream

      Who needs to attend

      • Designers & engineers specializing in cooling solutions, including LN2 CPU coolers
      • Thermal engineers seeking custom designs for optimal performance
      • Engineering management and decision-makers keen on generative design software for conjugate heat transfer
      • Current ColdStream users looking to explore applications in LN2 CPU cooler design and beyond
      Book a demo now!

      Meet your host

      Niels Verdijck
      Ir. Verdijck joined Diabatix team on July 2021, after achieving his master’s degree in mechanical engineering at the renowned University of Leuven. During his time at the University, Niels worked on multi-objective topology optimization of a microjet cooler. Currently, as Customer Support Engineer, he focuses on helping ColdStream users with their projects by providing them with insights and feedback.

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