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Your streaming link: Keeping IT Cool: Liquid 2026 Day Two

Brief

Keeping IT Cool | Liquid — Day Two of DCD's Liquid series streams live at 9am ET (2pm BST) on Wednesday, 13 May 2026, focusing on liquid cooling for AI-ready data centres. Sessions cover >100 kW rack densities, scalable cooling loops, retrofit strategies, chiller-to-chip architectures, dry-break quick-disconnect reliability testing, and research from Georgia Tech, Binghamton and IBM.

Why it matters

Article created 2026-03-11 12:44 and last updated 2026-04-04 00:00; email from James Raddings (Digital Portfolio Lead, DCD) promoting Day Two of the Keeping IT Cool | Liquid series for 13 May 2026.

Key details

  • Event streams live 9am ET (2pm BST) on Wednesday 13 May 2026 with on-demand replay; sessions target AI-ready data centres, addressing rack densities beyond 100 kW and the shift of cooling architectures from the chiller to the chip.
  • Session lineup and speakers: 9am ET — nVent (Jason Matteson, Patrick McCarthy, Matthew Archibald); 10am ET — Alison Deane (ZutaCore) & Christopher Sullivan (Oregon State University); 11am ET — Airedale (Mark Johnson, Reece Thomas, Mike Kis, Patrick Cotton); 12:00pm ET — Dylan Osiecki (CPC) on dry-break quick disconnects; 12:30pm ET — Prof. Yogendra Joshi (Georgia Tech), Prof. Srikanth Rangarajan & Prof. Bahgat Sammakia (Binghamton), and Pritish Parida (IBM Research).
Cleaned source text

Dear Spencer,

Our Keeping IT Cool | Liquid series returns for its second day, bringing together operators, engineers, researchers, and infrastructure specialists to explore how liquid cooling is reshaping the future of AI-ready data centers.

Streaming live on our website from 9am ET (2pm BST) on Wednesday, 13th May.

Liquid cooling readiness for the AI factory era // 9 _am ET

Featuring Jason Matteson, Patrick McCarthy and Matthew Archibald of nVent

As rack densities continue to rise beyond 100kW, liquid cooling is becoming essential for next-generation AI infrastructure. This session explores how operators can design scalable cooling loops, integrate power and thermal architectures more effectively, and prepare facilities for phased AI deployments as cooling moves from the chiller right into the chip.

Rethinking liquid cooling deployment in existing data centers // 10 _am ET

Featuring Alison Deane of ZutaCore and Christopher Sullivan of Oregon State University

Operators are increasingly looking to retrofit existing facilities rather than build from scratch. This session explores how organizations can modernize legacy environments for high-density AI workloads, extend data center lifespan, and prevent cooling from becoming the next infrastructure bottleneck — all while minimizing operational disruption and deployment risk.

Engineering sustainable cooling architectures for efficiency at scale // 11 _am ET

Featuring Mark Johnson, Reece Thomas, Mike Kis and Patrick Cotton of Airedale

Explore how operators are engineering end-to-end thermal management architectures that now extend from the chiller plant to the chip itself — balancing efficiency, resilience, scalability, and environmental performance as AI-driven density continues to accelerate.

Tech Showcase: Measuring the reliability of quick disconnect innovations // 12p _m ET

Featuring Dylan Osiecki of CPC

This technical showcase explores how evolving testing standards, dry-break non-spill quick disconnect technologies, and real-world validation methods are improving reliability in liquid cooled AI environments — helping operators reduce maintenance risk, protect critical infrastructure, and scale deployments with greater operational confidence.

Innovations in liquid cooling for high-density workloads // 12.30p _m ET

Featuring Prof. Yogendra Joshi of Georgia Institute of Technology, Prof. Srikanth Rangarajan of Binghamton University, Prof. Bahgat Sammakia of Binghamton University, and Pritish Parida, Senior Research Scientist at IBM Research

Hear from leading academic and industry researchers as they explore the next generation of liquid cooling innovation for high-density AI workloads - from advanced thermal management techniques and chip-level cooling strategies to the future of sustainable, ultra-efficient compute infrastructure.

I've dropped a link to this broadcast in the calendar invite attached so you don't miss it. You can also stream it on-demand here.

Kind regards,

James Raddings

Digital Portfolio Lead | DCD

DCD, 32-38 Saffron Hill, London, London, London, United Kingdom, EC1N 8FH