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Solution Spotlight: Cooling the Future: Preparing your data center for the AI surge

Jaclyn Schmidt  (Director of Product Deployment, CoolIT Systems)

Location: DCW Theater - Expo Hall Floor

Date: Tuesday, April 16

Time: 5:30 pm - 6:00 pm

Pass Type: AFCOM Solution Provider, All Access Conference, Data Center BUILD Summit, Industry Conference, Pre-Conference Training, Standard Conference - Get your pass now!

Session Type: Sponsored Session

Vault Recording: TBD

As the demand for computational power surges with the advent of Artificial Intelligence (AI) applications, data center operators face the challenge of efficiently managing heat dissipation while preparing for unprecedented workloads. This presentation explores the pivotal role of liquid cooling implementation and integrating liquid cooling solutions into existing infrastructure as the key to unlocking the potential of AI-driven computing. By embracing liquid cooling technology now rather than later, data centers can enjoy the benefits of enhanced efficiency and performance, thus maximizing the potential of AI-driven computing. Through an analysis of real-world case studies, we showcase innovative approaches to data center cooling where the use of targeted liquid cooling solutions is leveraged to maximize PUE and WUE.
Attendees will gain insights into the benefits of liquid cooling, including enhanced thermal management, improved energy efficiency, and scalability to accommodate evolving AI workloads. We will also discuss practical considerations for data center operators who may not be ready to fully adopt liquid cooling, demonstrating how a combined approach to cooling will allow for a gradual transition towards a more liquid-centric cooling infrastructure. Key Takeaways: Jaclyn Schmidt, Director of Product Deployment at CoolIT Systems will discuss: • The critical role of liquid cooling implementation in addressing the challenges posed by the surge in AI-driven computing demands. • Insights into the benefits of liquid cooling adoption, including enhanced thermal management, improved energy efficiency, and scalability to accommodate evolving AI workloads. • Real-world case studies showcasing innovative approaches to the adoption of liquid cooling and practical considerations for data center operators who may not be ready to fully adopt liquid cooling, including strategies for a gradual transition towards a more liquid-centric cooling infrastructure.