Cloud Expo Asia
DEVOPS LIVE
Cyber Security World
Big Data & AI World
eCommerce Expo Asia
TECHNOLOGY FOR MARKETING ASIA
Redefining Efficiency: Overcoming Liquid Cooling Challenges in AI Data Centres
10 Oct 2024
Efficiency & Sustainability Theatre
| As artificial intelligence (AI) continues to revolutionize industries, the demands on data centre infrastructure are intensifying. This session delves into the growing trend of AI, exploring how it shapes data centre requirements. We will examine the emerging role of liquid cooling technology in meeting these challenges. By addressing both current limitations and future possibilities, this presentation will provide a comprehensive look at how liquid cooling can redefine efficiency and envision innovative solutions for the next generation of data centres. The rapid advancement of AI technologies has created unprecedented demands on data centre infrastructure, particularly in terms of cooling solutions. This presentation will highlight the critical role of liquid cooling in supporting the high-density, high-performance computing environments required by AI applications. Attendees will gain insights into the current limitations of liquid cooling technology, such as resource shortages, complexity, and maintenance challenges. We will also explore future visions of data centres that leverage advanced liquid cooling solutions and automation equipment such as “mechanical arm” to achieve unparalleled efficiency, scalability, and sustainability. By envisioning these next-generation data centres, we aim to demonstrate how they can keep pace with the accelerating AI revolution and meet the evolving demands of tomorrow’s digital landscape. |
)
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
)
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
){kind=logo}
)
){kind=logo}
)
)
)
)
)
)
)
)
){kind=logo}
)
)
)
)
){kind=logo}
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
){kind=logo}
)
){kind=icon}
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
)
){kind=logo}
)
)
)
)
)
)
)
)
)
)
)
)
)
)