Friday 30th January 2026
The data & AI revolution has been growing at an unprecedented rate. Adoption is sky rocketing and it is anticipated that by 2030 70% of data centre capacity will be serving AI-related workloads, with customers of all sizes and sectors looking to leverage the latest models and AI innovations. However, this rapid expansion has outpaced the availability of resources that cloud hyperscalers can provide.
Providers are struggling to keep up with the demand for resources required to run AI workloads. Whether it be the availability of chips and RAM, or the ability to leverage the grid to satisfy the energy hungry GPUs that power AI workloads, a harsh reality has come to light: the artificial world has outpaced the physical one.
Cloud data centre expansion efforts are ubiquitous across all of the major players, with new facilities and expansions to existing sites all well underway. It’s not just cloud hyperscalers either, companies like Meta are looking to expand their Meta Compute footprint to help power their AI offerings, but the progress of these efforts is failing to keep up with the AI boom and it’s beginning to impact existing customers.
Where capacity quotas were previously a fleeting afterthought in the deployment of cloud resources, they are now very real and, in some cases, very detrimental to customer’s efforts to realise their cloud ambitions.
While capacity isn’t “running out” there may not be the same freedom to deploy resources as providers look to take a more conservative approach to capacity management. Existing customers are being ring-fenced to an extent, and newer customers are finding it more challenging than before to provision workloads.
These concerns are not global however, “hero” cloud hubs like the UK are feeling the squeeze more than their European neighbours. Regions like Sweden, Italy, Poland, Switzerland and Belgium have much more freedom in resource availability and could present as potential alternatives for new workload deployments.
There are considerations to utilising regions outside of commonly paired regions, but in certain use cases these are not a hinderance and offer an alternative to customers seeking to deploy certain resources and architectures.
On the other hand data sovereignty is a critical consideration and may limit, or completely rule out, deployments outside of UK regions. Certain regulations especially around the UK public sector require data to reside within the UK, therefore tying workloads to just those regions.
Each scenario is highly nuanced, with a number of factors that can influence what the right outcome is, which is where Bytes come in. Bytes’ level of partnerships with the top cloud providers means that when escalation or exception requests are required, our customers receive full support in navigating the process to achieve optimal outcomes.
Bytes’ technical specialists are also primed with the knowledge and experience to work through any use case to identify potential opportunities to leverage European regions. From architecting highly resilient workloads, to minimising inter-region latency, we have the expertise you need to navigate the challenges of the current cloud landscape.
These challenges aren’t going away overnight, and while getting traction with requests for further capacity can seem daunting in such a congested landscape, Bytes are here to help customers navigate any and all capacity scenarios they may be facing. Speak to us today if you need assistance in navigating these conversations for your UK-only use cases, otherwise we’re waiting to speak to you about exploring a multi-region strategy.
If you'd like further information, please contact our team at [email protected]
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