Harnessing AI/ML for Greener Data Centers

Harnessing AI/ML for Greener Data Centers

Data centres enable digital services but consume massive energy, posing sustainability challenges. Organisations can optimize efficiency at all levels, from hardware to workload allocation, to balance performance and minimize environmental impact. AI and machine learning innovations provide new optimisation pathways, like predictive maintenance to extend hardware life and intelligent resource scheduling to prevent overheating.

But sustainability is also about risk reduction – governance policies, resilient infrastructure, and highly optimised operations. Overall, sustainability requires synthesising business aims with environmental responsibility. Data centres achieving this balance will assure stakeholders while enabling digital innovation. With continual improvement driven by cooling systems upgrades, workload consolidation, modular designs, and AI/ML efficiency gains, sustainable data centres can dematerialize operations while supporting exponential data growth. The environmental and operational payoffs make sustainability a pivotal data centre strategy.

• What challenges do companies face in building and optimising resilient, sustainable, innovative infrastructure and data centres that can scale to meet exponential growth cost-effectively?
• In what ways does the lack of a strong sustainability program hold back an organization’s technology innovation and progress? How are companies curbing consumption and reducing their footprint today?
• What role and value can infrastructure technology vendors provide to assist CIOs in making sustainability a strategic priority with real operational impact?