Powering AI Factories: Scaling GenAI with Direct-to-Chip Liquid-Cooling

This IDC infographic, sponsored by Supermicro and NVIDIA, explores how Digital Leaders across EMEA are using advanced IT infrastructure to power scalable, efficient GenAI datacenters. It draws on insights from 1,590 organizations and highlights the strategic and technical shifts underway.

Digital Leaders (top 26%) show higher revenue and budget growth, driven by deep investment in AI infrastructure, automation, and real-time data capabilities.
GenAI demands are pushing power and cooling requirements beyond traditional limits, leading to rapid adoption of direct-to-chip liquid-cooling technologies.
Modern AI datacenters — or “AI factories” — require redesigned facilities with high-density compute, efficient cooling, and sustainability-focused operations.

With compute requirements scaling rapidly, AI-ready datacenters must minimize overhead energy costs and maximize GPU output. Direct-to-chip cooling supports this transformation, enabling higher performance, better thermal management, and support for emerging GenAI use cases while meeting ESG goals.

Fill out the details below

Has the company allocated budget for more computing power? *

Yes
No

How would you describe your role in the IT Decision-Making process? *

Main Decision Maker
Buyer
Influencer
Evaluator/Recommended
Part of a committee or team

Do your applications scale and benefit from more cores with in each CPU? *

Yes
No

Do you need more CPU work performed per watt of electricity consumed? *

Yes
No

Is there a need for wide range of servers and storage systems that contain the latest CPU? *

Yes
No

When do you estimate the need for new servers? *

Less than 1 Month
1-3 Months
4-6 Months
7-12 Months

If yes, what is an estimate?

$1M – 10M
$10M to $50M
$50M to $100M
$100M to $250M
$250M to $500M
Over $500M