As the only UK organisation to deliver both on-premise and hosted systems, Scan AI provides end-to-end AI solutions from proof of concept to development, training and inferencing. We are an NVIDIA Elite Partner and award-winning system integrator, having completed thousands of AI projects across a wide range of industry sectors.
The SCAN AI Ecosystem is a comprehensive catalogue of products and services that provides everything needed to deliver AI projects, from ideas to inference solutions. Whether it's a proof of concept or a full production platform, our team of AI experts can provide a full, end-to-end service delivery or provide just the parts of the ecosystem needed to deliver your AI project
Deep learning and AI depend heavily on parallel processing, best delivered by GPU accelerators. As the UK's leading NVIDIA Elite Solution Provider, we offer a range of purpose-built solutions, including 3XS AI workstations for development, 3XS AI servers for training with NVIDIA EGX, HGX systems, and DGX AI appliances. We also provide NVIDIA Jetson-based edge AI solutions for deployment in factories, transport, and smart cities.
We complement our GPU-accelerated hardware with Scan Cloud, a virtual GPU platform that delivers high-performance applications to any device. Hosted in secure datacentres, it allows flexible vGPU scaling based on workload needs. With a simple monthly payment, there's no upfront hardware cost or idle GPU resources, making it ideal for dynamic or large projects.
Having powerful GPU-accelerated hardware is great, but to ensure maximum efficiency, AI-optimized NVMe SSD storage is key. It provides the bandwidth and low latency needed to keep multi-GPU servers running smoothly, reducing downtime and speeding up results. Scan AI offers 3XS Systems solutions with PEAK:AIO plus options from top brands like Dell-EMC, NetApp, and DDN, to deliver the right AI-optimized storage for you.
As your training infrastructure grows, avoid bottlenecks between GPU-accelerated hardware and storage by using Spectrum Ethernet or Quantum InfiniBand switches. Paired with NVIDIA ConnectX NICs or Bluefield DPUs, these high-bandwidth, low-latency networks ensure efficient task offloading and data speeds up to 800Gb/s.
Although most AI applications are still in the early phase of adoption and integration, any systems that run across the business will be in scope for governance and compliance. Planning to integrate current research and development platforms into production requires considerations beyond the current regulation landscape. Scan has the expertise to help advise on best practices in this area, including the EU AI Act, ISO 42001, and E2EST/AA
Starting a deep learning project requires some knowledge of programming, but optimized frameworks and libraries from the NVIDIA GPU Cloud (NGC) automate many tasks. There are also specialized applications for fields like healthcare, robotics, and autonomous driving, along with platforms like Run:ai for GPU pooling and NVIDIA Omniverse Enterprise for real-time collaboration.
AI projects often start small but quickly scale, increasing hardware demands. Limited space, power, or security—especially for sensitive data—can hinder growth. To solve this, we've partnered with UK and European datacentres to offer hosted solutions like co-location, management, and monitoring. Our partners prioritize data security, GDPR compliance, and green energy solutions.
As your AI infrastructure grows, it's vital to optimize your investments. Our professional services include system health checks, hardware installation, software upgrades, remote monitoring, data science support, cybersecurity, and full AI project management. Our NVIDIA-certified Scan AI team offers expert advice and technical support.
In the fast-paced world of AI, ongoing education is crucial. As a certified partner for NVIDIA Ideation workshops and Deep Learning Institute (DLI) courses, Scan AI offers accredited training in deep learning and AI. We provide online and in-person courses year-round, helping teams expand their AI skills and new starters learn the fundamentals.
NVIDIA's concept of a five-layer cake: All layers influence and rely on the ones above and below comprises all the elements necessary for delivering real-time intelligence at scale.
Energy
Chips
Infrastructure
Models
Applications
Scan supports this five-layer concept through our AI ecosystem, designed to approach any AI journey as a whole rather than just its component parts.
NVIDIA’s "three computers" model defines how physical AI systems, such as robots and autonomous machines, are built and improved through a continuous loop of training, simulation and deployment. AI models are first developed on powerful accelerated infrastructure, then tested and refined in realistic digital environments, before being deployed on edge systems that enable real-time interaction with the physical world. This closed-loop approach allows systems to continuously learn from real-world data and improve over time.
At Scan, we support this entire lifecycle by providing the high-performance compute, simulation platforms and edge AI solutions needed to take physical AI from concept to real-world deployment.
Scan Springboard is a curated community designed to help you connect, scale, and succeed. Whether you're training your first model or scaling to meet demand, this is where connections, conversations, and commercial wins happen.
Powered by NVIDIA RTX PRO 6000 Blackwell Server GPUs, they provide best-in-class performance across a wide range of workloads including visualisation and rendering, digital twins, scientific computing and HPC, and AI.
Powered by NVIDIA's latest Blackwell architecture, the DGX B200 is built for serious training and inference workloads. Each system combines eight flagship B200 GPUs with 1.44TB of unified GPU memory, delivering up to 15× the performance of the DGX H100.
And now, this cutting-edge performance is
available on demand, directly through Scan Cloud. Whether you're prototyping, scaling training workloads, or exploring frontier models, you've got the power of NVIDIA DGX B200 behind you - without the hardware overhead.
Ignite your competitive edge and manufacture digital intelligence at scale with NVIDIA's AI factory. Experience unprecedented efficiency, accelerate AI reasoning, and future-proof innovation for tomorrow. Partner with Scan to build your bespoke, fully managed AI Factory.
Scan's robotics solutions represent the tangible edge of AI, where inference models meet real-world action. By pairing AI-driven perception, decision-making, and control with purpose-built robotics hardware, we help you deploy intelligent systems that interact with—and adapt to—their environments.
Whether it's autonomous robots navigating warehouses, robotic arms performing precision tasks, or service robots enhancing human experiences, our robotics offerings are the embodiment of AI in motion.
Scan delivers the tools, platforms, and consultancy to help bring your AI from concept to kinetic reality.
We are delighted to have Scan as part of our set of partners and collaborators who are equally passionate about advancing the real-world impact of robotics research. Integral involvement of our technology and deployment partners will ensure that our work stays focused on real and substantive impact in domains of significant value to industry and the public domain.
– Ingmar Posner, Principle Investigator & Professor of Applied AI, Applied Artificial Intelligence Lab (A2I) at ORI
The Scan AI team has supported ORI research projects as an industrial member for several years. Scan has provided numerous 3XS Systems AI Development Workstations equipped with NVIDIA RTX GPU accelerators. These are custom designed as desktop solutions for rapid iteration and training of AI models, enabling them to be routinely moved between research labs and connected directly to a range of robot arms or quadrupeds. In addition, the ORI also has access to a cluster of NVIDIA DGX servers, a multi-GPU NVIDIA RTX 6000 server and AI-optimised PEAK:AIO NVMe software-defined storage in the Scan Cloud facility, for scaling of projects and scenarios where required.
CASE STUDY
Frontier Development Lab
FDL has established an impressive success rate for applied AI research output at an exceptional pace. Research outcomes are regularly accepted to respected journals, presented at scientific conferences and have been deployed on NASA and ESA initiatives - and in space.
– James Parr, Founder, FDL / CEO, Trillium Technologies
Scan is a major supporter of ESL 2025 and FDL, building on its participation in the previous five years events. As an NVIDIA Elite Solution Provider, Scan contributes multiple DGX supercomputers via Scan Cloud, in order to facilitate much of the machine learning and deep learning development and training required during the research sprint period.
CASE STUDY
Kings College
It has been fantastic working with these companies, especially through the guidance of Scan, who have been not only supporting the decisions of what solutions we should embed in our NHS Trust, but to put them together to build a turnkey solution.
- Prof. Sebastien Ourselin, Head of Biomedical Engineering & Imaging
The AI Centre for Value-Based Healthcare (AI Centre) is a consortium of academic, NHS and industry partners led by King's College London (KCL) and based at St Thomas' Hospital. The AI Centre's partner organisations include University College London (UCL), Imperial College London, Queen Mary's University London and the Health Innovation Network, supported by numerous industry partners including Scan and NVIDIA.
CASE STUDY
InooLabs
Not only do Scan have excellent experience in configuring and building hardware according to our needs, but they add value with a surrounding ecosystem of domain experts and partners upstream of the supply chain as well.
- David Wallén, CEO - inooLabs
inooLabs is a multidisciplinary AI-first company focused on building entire AI-systems. The company was founded in Stockholm, Sweden in 2020, spun out of a think-tank treating topics about technology and the future of humanity. The team at inooLabs believe that artificial intelligence has the ability to elevate the human species to the next level and wants to do its part, so they are focused on the full chain of development, training and deployment of machine learning models and surrounding architecture.
If you are only just beginning your AI journey, Scan has end-to-end expertise honed with AI pioneers over the last 5 years. Explore how AI can revolutionise your business below.