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AI Datacentre Solutions
Scan has extensive experience working with datacentre partners in the UK and around the world to deliver a comprehensive range of hosted and cloud environments
Our AI-Enhanced Datacentre Solutions
Guided Proof of Concept
Our unique proof of concept environment offers the opportunity to try any AI solution with your real-world data, prior to purchase. This means you have complete peace of mind when moving to scaling and deployment. Guided by our data scientists we ensure you get the right hardware or cloud solution for your AI projects.
DGX-ready Datacentres
Many of our datacentre partners are certified as NVIDIA DGX-ready premises, meaning they have been assessed for their capabilities to host and maintain DGX appliances, DGX BasePOD and DGX SuperPOD clusters. They also have specific skillsets to install, optimise configuration and monitor these appliances.
Renewable Energy
The operating costs of large AI infrastructures is increasingly at odds with environmental goals. Many Scandinavian datacentres operate using sustainable wind, hydro or geothermal power to reduce power and cooling costs, whilst removing fluctuation impacts from the often volatile UK energy market.
International Logistics
Our AI solutions include the ability to fully manage an AI hardware relocation to any of our UK and Scandinavian datacentre partners including shipment and forwarding, import paperwork and customs clearance, VAT registration and reclaim, installation and deployment. We also offer flexible green modular datacentre options.
Bespoke Solutions
As the leading AI solution provider in the UK, our experts are on-hand to design, build and deploy custom AI infrastructures to address whatever challenge your organisation may be facing. Our unique proof-of-concept environment ensures any bespoke system can be tried and tested prior to scaling-out.
The Scan AI Difference
Scan AI Ecosystem
Starting your AI journey in research can be complex. Scan makes it simple.
Our unique AI ecosystem enables you to understand what you need at every stage of your AI journey, from initial proof of concept right through to deployed solution. As every AI research project is different we’re on hand with trusted advice and training services delivered by our expert team.
Scan was the first company in the UK to be awarded NVIDIA's Elite Solution Provider status for DGX Systems in 2017. Since then we have been at the cutting-edge of AI advancement, both for hardware and as a consultant to some of the UK's most important thought-leaders. Scan is one of the only partners that holds Elite status for DGX Cloud, Compute Solutions, NVIDIA AI, Visualisation, Networking and Omniverse making us the number one choice to help you achieve your AI goals.
NVIDIA frameworks accelerate the development of AI models and projects as they remove many of the manual tasks and complexity when first getting started. Every element of the Scan AI Ecosystem can be tailored to get the best from any given framework. Click the options below to explore further.
Case Studies
View more case studies
Peptone
Discover how Scan helped accelerate protein-based drug discovery by relocating Peptone's infrastructure to a datacentre powered by 100% renewable energy.
Read More
Oxford Robotics Institute
Discover how Scan helped the ORI leverage neural radiance fields for tactile sensory data generation, with a datacentre-hosted DGX Cloud platform.
Read More
Frontier Development Lab Europe
Discover how Scan helped FDL use a vGPU solution to see how ML could help build a warning system for solar weather events.
Read MoreFrequently Asked Questions
Getting started typically begins with a conversation to understand your workload requirements, such as model type, training vs inference needs, data size, and performance expectations. From there, we work with you to define a suitable architecture, whether that’s GPU clusters, HPC systems, cloud integration, or hybrid infrastructure. The goal is to align compute resources with your AI roadmap so you can scale efficiently from pilot to production. Contact us today by telephone 01204 474210.
Scaling AI workloads requires a combination of high-performance compute (typically GPU-accelerated systems), fast and reliable storage, high-bandwidth networking, and a suitable software stack for orchestration and model management. Requirements vary depending on whether you’re training large models, running inference at scale, or handling distributed workloads, which is why solutions are typically designed around specific use cases.
Yes. AI infrastructure is rarely one-size-fits-all. We design systems based on your specific workloads, whether that’s machine learning model training, simulation, data analytics, or inference at scale. This includes selecting the right balance of compute, memory, storage, and networking, along with optimisation for performance and cost efficiency.
That’s a common scenario in AI environments. We specialise in bespoke infrastructure design for complex or unusual workloads. Whether you need specialised GPU configurations, hybrid deployment models, or integration with existing systems, solutions can be engineered around your exact technical and operational requirements. Contact us today by live chat, contact form or telephone 01204 474210.
Yes. We can support deployment across on-premises infrastructure, private cloud environments, or hybrid models. This includes assisting with configuration, optimisation, and ensuring workloads are correctly aligned with performance and scalability requirements.
Absolutely. Modern AI infrastructure is designed to be flexible, and workloads can run in cloud, on-premises datacentres, or hybrid environments. The right approach depends on factors such as data sensitivity, latency requirements, cost control, and scalability needs.
Yes. Support typically includes technical assistance, system optimisation, performance tuning, and troubleshooting. Scan also provides NVIDIA-certified Deep Learning Institute hands-on training for developers, data scientists and researchers looking to solve challenging problems using deep learning and AI.
Yes. Scan provides supported pricing for healthcare and education providers and NVIDIA Inception program members.
Yes. Where applicable, solutions can be procured through recognised public sector frameworks in the UK. This enables education, government, and public sector organisations to access AI infrastructure through compliant and streamlined procurement routes.