Challenged to reduce infrastructure energy use, improve PUE, capture and reuse waste heat, and meet sector targets to be net zero carbon by 2030, the industry cannot continue to waste OPEX cooling everything in the data centre.
While higher operating temperatures opened the white space door to higher power, higher density CPUs and GPUs, it’s also driven air-based data centre cooling systems beyond the limits of their usefulness and effectiveness.
A new independent engineering report, commissioned by Iceotope Technology and undertaken by multi-disciplinary engineering consultancy, Cundall, is the foundation for this evidenced-based discussion about the practicalities and benefits of liquid-cooling in data centres.
Malcolm Howe, Partner at Cundall said: “Iceotope commissioned Cundall to undertake an independent study on liquid cooling, requesting a detailed analysis as well the impact on data centre operating costs. Our results show the performance and energy efficiency which liquid cooling offers over conventional air-cooling, as service providers simultaneously rise to the challenge of meeting demand for more data centre capacity whilst proactively minimising facility carbon footprint.”
This one-hour webinar considers how mission critical IT components can be precision cooled to increase efficiency and sustainability, including:
- The state of current solutions for cooling servers and other devices at scale
- The engineering factors and environmental considerations driving a need to disrupt the current data centre cooling status quo
- Optimal solutions for cooling state-of-the-art CPUs and GPUs
- Performance and operational characteristics of liquid cooling systems that scale
Please join Iceotope Technologies in association with Cundall and Kao Data at 2.00pm on Wednesday 16th June.
- Welcome & Introduction
- A performance comparison of the principal liquid cooling architectures: Malcolm Howe, Partner, Cundall
- The advantages of liquid cooling vs air cooling: David Craig, CEO, Iceotope Technologies
- How colocation is adapting to customer requirements for HPC-style IT loads: Gérard Thibault, CTO, Kao Data