Technimove’s Approach to AI Data Centre Deployment

In conversation with IT Channel Oxygen, Technimove CRO Gareth Meyer unpacks the challenges of AI data centre deployment—from the rising gap between procurement and performance to the renewed focus on on-premise infrastructure. Backed by trusted partners and decades of experience, Technimove delivers full-service strategies that ensure AI investments are deployed with precision, sustainability, and scale.

As part of a recent conversation with IT Channel Oxygen, our Chief Revenue Officer, Gareth Meyer, weighed in on one of the most pressing trends reshaping the data centre and IT channel landscape: the rapid influx of AI Data Centre equipment—and the complications that come with deploying it properly.

With the demand for high-value AI Data Centre infrastructure ramping up across the industry, it’s clear that not all deployments are being handled with the care and technical precision they require. As Gareth put it during the interview, “There’s been a huge spike in the procurement of AI kit—especially among the major resellers—but in some cases, the actual deployment hasn’t been up to scratch.”

 

 

 

Why the Final Mile Matters

This growing disparity between procurement and performance highlights a wider issue: the critical importance of full-service deployment. It’s no longer enough to simply deliver AI hardware to site. The real value is unlocked through complete deployment—something Technimove has long specialised in.

Our approach bridges the gap between logistics and operations. From pre-configuration and system testing, through to white-glove delivery and installation by certified engineers, we ensure AI kit is not just delivered, but properly integrated and fully operational within live data centre environments.

As Gareth explained, “Too often, the gap between delivery and go-live is underestimated. That’s where our experience in complex data centre projects becomes essential.”

A Shift Back On-Premise

Another key trend Gareth touched on is the growing shift away from the public cloud for certain workloads. In an effort to reduce ongoing costs and unlock next-generation capability, many enterprise organisations are now repatriating core applications back to on-premise or hybrid environments.

“We’re seeing more and more businesses move their data and applications back in-house,” Gareth noted. “Not just to better control performance and security—but also to tap into the efficiencies that newer AI hardware can bring when properly deployed.”

Sustainability: Driving Smarter Decisions

Environmental considerations are also shaping where and how data centres are being deployed and supported. Sustainability is no longer a side note—it’s a key decision driver.

With areas like the Nordics and Spain offering greener options for data centre builds, Gareth highlighted how Technimove’s established engineering footprint across Europe and the US enables us to deliver consistent, on-the-ground support regardless of geography.

“We’re already where our clients need us to be,” Gareth said. “That’s a huge part of how we deliver at scale—without compromising on quality or sustainability goals.”

Ready to Move Beyond Standard Deployment?

AI infrastructure represents a generational leap – but only if it’s deployed with the same level of innovation and precision as the technology itself. At Technimove, we don’t just move kit – we design and deliver intelligent, end-to-end deployment strategies that ensure your AI investments perform from day one.

Backed by trusted partnerships with industry leaders such as Nscale, Verne, Digital Space, nLighten, Equinix, Digital Realty, and Atlas Edge, we bring unparalleled reach, capability, and insight to every data centre transformation.

Whether you’re looking to streamline multi-site rollouts, optimise on-premise capabilities, or future-proof your data centre with scalable infrastructure, our team brings decades of experience and a proven framework for success.

Let’s reimagine deployment – not as a final step, but as a strategic advantage.

Talk to us about your AI deployment goals.

This article was produced in association with IT Channel Oxygen. The original article was published on 7th April 2025 and can be found here.

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