DISRUPTIVE TECH
# 1 Race for sovereign AI
Governments and regulatory bodies around the world are racing to assess the implications of AI and develop governance for its use . The trend toward sovereign AI , a nation ’ s control or influence over the development , deployment and regulation of AI and regulatory frameworks aimed at governing AI , is a focus of The European Union ’ s Artificial Intelligence Act and China ’ s Cybersecurity Law , CSL and AI Safety Governance Framework . impacted by this trend , as AI use expands beyond early cloud and colocation providers .
AI racks will require UPS systems , batteries , power distribution equipment and switchgear with higher power densities to handle AI loads that can fluctuate from a 10 % idle to a 150 % overload in a flash . Hybrid cooling systems , with liquid-to-liquid , liquid-to-air and liquid-to-refrigerant configurations , will evolve in rackmount , perimeter and row-based cabinet models that can be deployed in brown , greenfield applications .
Initial steps will be focused on applications of the technology , but as the focus on energy and water consumption and greenhouse gas emissions intensifies , regulations could extend to types of AI application and data centre resource consumption .
In 2025 , governance will continue to be local or regional rather than global , and the consistency and stringency of enforcement will widely vary .
# 2 Collaboration for AI factory development
Average rack densities have been increasing steadily over the past few years , but for an industry that supported an average density of 8.2kW in 2020 , the predictions of AI Factory racks of 500 to 1000kW or higher soon represent an unprecedented disruption .
As a result of the rapid changes , chip developers , customers , power and cooling infrastructure manufacturers , utilities and other industry stakeholders will increasingly partner to develop and support transparent roadmaps to enable AI adoption . This collaboration extends to development tools powered by AI to speed engineering and manufacturing for standardised and customised designs .
In the coming year , chip makers , infrastructure designers and customers will increasingly collaborate and move toward manufacturing partnerships that enable true integration of IT and infrastructure .
# 3 Power and cooling infrastructure
In 2025 , the impact of compute-intense workloads will intensify , with the industry managing the sudden change in a variety of ways . Advanced computing will continue to shift from CPU to GPU to leverage the latter ’ s parallel computing power and the higher thermal design point of modern chips .
This will further stress existing power and cooling systems and push data centre operators toward coldplate and immersion cooling solutions that remove heat at the rack level . Enterprise data centres will be
Liquid cooling systems will increasingly be paired with their own dedicated , high-density UPS systems to provide continuous operation . Servers will increasingly be integrated with the infrastructure needed to support them , including factory-integrated liquid cooling , ultimately making manufacturing and assembly more efficient , deployment faster , equipment footprint smaller , and increasing system energy efficiency .
Outcome driven IT , distributed compliance , will align IT and business says ManageEngine
Rajesh Ganesan , President ManageEngine
ManageEngine has identified key priorities for 2025 that modern organisations should consider while navigating through the challenging digital landscape . These priorities include scaling up AI usage , implementing a distributed governance model for compliance , reengineering experiences and focusing on outcome-driven IT .
# 1 Outcome-driven IT
Modern-day enterprises are powered by IT , which now occupies a place at the top of the management table . Any failure that results in services being unavailable or disrupted can result in huge business implications . Yet , in some quarters , IT is still considered a cost centre rather than a contributor to business profits .
IT leaders will need to clearly demonstrate the value generated by their IT investments or risk shrinking budgets . While dashboards provide metrics that point to the operational performance of a technology , they do not always present a clear case for the business benefits derived . That clarity can be gained by aligning IT with not only operational
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