Turning Down the Heat: Building AI That Runs Cooler and Smarter

Enabling enterprise AI with efficiency, sustainability and scale

Artificial intelligence is reshaping how industries operate, from accelerating drug discovery to predicting supply chain disruptions before they happen. But as organizations race to integrate AI into their strategies, one reality is becoming increasingly clear: the infrastructure demands of AI are massive and most enterprise infrastructure is not AI-ready. High-density workloads push data centers to their limits, and the need for sustainable, scalable solutions has never been more urgent.

That’s where enterprise enablement comes in—not just delivering the hardware but creating the partnerships and ecosystems that make AI truly accessible. Lenovo and Digital Realty are working together to deliver exactly that, breaking down infrastructure barriers so enterprises can adopt high-performance private AI without the traditional constraints of space, power, or cooling capacity.

The recently announced Digital Realty Innovation Lab (DRIL) underscores this effort as it offers partners and customers a fully supported, real-world testing environment where they can bring their own workloads or leverage pre-configured infrastructure to validate AI and hybrid cloud-deployments before scaling. 

From Possible to Practical
The AI conversation often focuses on algorithms, data and innovation, but underneath it all, there’s a very real question: where does all this processing power come from? And how do you keep it running without overheating budgets or the planet?

Direct liquid cooling (DLC) has emerged as one of the most effective answers. By bringing coolant directly to the server’s processors, DLC can manage the intense thermal loads that come with AI-driven workloads. Lenovo’s Neptune™ liquid cooling technology is at the forefront of this shift, offering a way to achieve higher performance and greater efficiency at the same time.

Through our collaboration, Lenovo and Digital Realty are helping today’s businesses unlock the full potential of their AI and mainstream enterprise workloads—even if they lack the data center footprint. Digital Realty has integrated Lenovo Neptune into more than half of its data centers worldwide, expanding its high-density colocation capabilities and allowing enterprises to deploy AI-ready infrastructure—fast. This is AI enablement at scale, without requiring every customer to build their own specialized data center from scratch.

Colocation: The Great Equalizer
Not every organization has the real estate or resources to operate a high-performance computing environment on-site. That’s why colocation partnerships matter. They democratize access to enterprise-grade AI capabilities, giving businesses a way to run private AI models and process massive data sets while tapping into an existing, purpose-built environment.

By combining Digital Realty’s global footprint and Lenovo’s industry-leading liquid cooling technology, customers can adopt AI infrastructure that is both sustainable and scalable—two qualities that are often difficult to achieve together. The result? A solution that helps enterprises meet their sustainability goals without sacrificing the raw compute power needed for next-gen AI applications.

The Bottom Line
The next era of AI won’t be defined solely by who has the best models or the largest datasets. It will be shaped by who can deploy AI at scale—responsibly, sustainably, and without barriers to entry. That’s why partnerships like Lenovo and Digital Realty matter. Our ongoing work is helping enterprises everywhere turn AI from a distant goal into a working reality by providing colocation-ready solutions that not only push the boundaries of AI, but also transform how enterprises power, cool, and scale the full spectrum of modern computing.

Because when it comes to AI, the future isn’t just about thinking bigger, it’s about building smarter.

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