Why companies are turning to IT solution providers to make their edge computing sites more sustainable
Data processing, particularly in edge computing, is energy-intensive. Many organizations aspire to greener operations, yet face hurdles in achieving it such as getting the consistent data and metrics required. Uncover actionable insights from Schneider Electric and a 451 Research report on the challenges and opportunities of optimizing energy use and carbon emissions — including the value of choosing a strong edge computing partner and the importance of building monitoring and measuring capabilities into IT infrastructure.
What is the role of software in data center operations?
Software plays a critical role in modern data center operations by enhancing management capabilities and supporting AI infrastructure. It helps streamline processes, improve energy efficiency, and ensure that data centers can adapt to the evolving demands of digital transformation.
Why is liquid cooling important for AI data centers?
Liquid cooling is essential for AI data centers due to the high thermal output generated by AI workloads. However, implementing these systems can be complex, requiring careful planning and integration to ensure they meet the specific needs of AI applications while maintaining efficiency.
How can data centers optimize for sustainability?
Data centers can optimize for sustainability by leveraging Data Center Infrastructure Management (DCIM) tools, which help identify areas for improvement. By focusing on energy efficiency, resource management, and integrating renewable energy sources, data centers can significantly reduce their carbon footprint.

Why companies are turning to IT solution providers to make their edge computing sites more sustainable
published by VistaBizHub Inc
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