Turnkey Solution Providers
SCAN provide a comprehensive one-stop service to build out AI Factories to scale-up and scale-out AI infrastructure. Now enhanced with NVIDIA's Mission Control, we can create a centralised management platform to orchestrate and manage AI platforms and AI Factories, including NVIDIA Run:AI
Our end-to-end service delivers the expertise required to design, build, deploy, and maintain large-scale AI infrastructure, alongside extensive support for commercial financing, international logistics, and securing power reservations at suitable sites for AI Factory deployment.
Best in Breed Compute for Processing AI Tokens
SCAN have the first mover advantage across NVIDIA's hardware ecosystem, investing in the latest generation hardware and are NVIDIA certified for both installation and deployment, and to provide ongoing managed services
Utilise our expertise and experience to select the right hardware to process your AI tokens, whether you're building for large scale LLMs, a robotics simulation and training environment, or GenAI for accelerated drug discovery.

Automation of AI Factories with NVIDIA Mission Control
NVIDIA Mission Control is a software suite that provides platform managers with powerful tools to orchestrate, manage, and optimise AI workloads at scale.
As inference workloads require the same level of production SLAs as traditional application and database compute, automation and orchestration of the platform is a necessity.
With automated workload recovery, platform owners can maintain productivity even during hardware failures or planned maintenance, maximising uptime. Designed for scalability, NVIDIA Mission Control provides advanced cluster-wide control and reporting, seamlessly managing thousands of GPUs for peak operational efficiency.

Cross-Border Logistics & Financing
Navigate international borders with our expert cross-border logistics team. We specialise in streamlining the complexities of global shipping, customs clearance, and supply chain management, ensuring your AI Factory moves swiftly into production.
Unlock your global growth potential with flexible financing solutions designed specifically for AI factories. Our integrated trade finance offerings support your international transactions by enhancing cash flow, mitigating risks, and enabling seamless execution of your overseas business strategies.

Sustainable, Wholesale Power
As a pioneer in creating hybrid, multi-cloud GPU environments, SCAN lead the way in utilising data centres powered by sustainable energy.
Near-shoring AI Factories significantly reduces your company's carbon footprint, supporting your environmental goals and enhancing your brand reputation. Additionally, renewable-powered data centres offer greater operational efficiency and long-term cost stability, shielding your business from volatile energy prices.

Deployed by Certified Professionals
Deploying AI factories through certified NVIDIA engineers ensures a robust and reliable execution of a deployment plan, built to cater to your operational design.
Our certified expertise ensures full alignment with NVIDIA best practices and standards - protecting your investment and future-proofing your AI Factory.

Customisable Management Services
No two requirements are alike. Choose from a flexible menu of managed service offerings that can be customised and tailored to complement existing technical capabilities.
SCAN is the only DGX Managed Services Partner in the UK and amongst less than dozen globally. Utilise leading expertise to power and sustain your AI Factory.

Build with Confidence
Partnering with SCAN to design, deploy, and service your AI factory ensures seamless integration of cutting-edge hardware with leading industry expertise. SCAN are the UK’s leader in AI solutions, from starting up to scaling up.
Our certified engineers and specialists meticulously design AI factories tailored specifically to your vision for utilising compute, from training large scale LLMs to running vast and complex CFD simulations. Our aim is to execute the deployments of your infrastructure at pace, making the most of your investment into a fast-moving hardware lifecycle.
FAQs
An AI factory is a scalable, repeatable system that turns raw data into valuable AI-driven insights, products, or services. It typically consists of automated pipelines for data collection, pre-processing, model training, deployment, and monitoring. Think of it as an assembly line measured by tokens for artificial intelligence—standardising how businesses build, test, and scale AI solutions.
Any organisation that wants to scale its use of artificial intelligence efficiently and responsibly can benefit from an AI factory.
Any organisation that wants to scale its use of artificial intelligence efficiently and responsibly can benefit from an AI factory. This includes:
- Enterprises managing large datasets and multiple AI projects
- Healthcare providers using AI for diagnostics or patient management
- Financial institutions deploying AI for fraud detection or risk modelling
- Retailers and e-commerce companies focused on personalisation and demand forecasting
- Manufacturers aiming to automate processes or predict maintenance
- Government and research bodies working with sensitive or high-volume data
Whether you're building one model or hundreds, an AI factory helps deliver repeatable, reliable, and governed AI outputs.
AI factories provide numerous benefits that help businesses mature their AI capabilities:
- Faster time-to-value. Automate data prep, training, and deployment to reduce lead times.
- Scalability, with the ability to reuse pipelines and models across teams and use cases.
- Consistency, applying standardised workflows, reducing error and technical debt.
- Improved ROI, streamlining operational costs and increasing model performance.
- Governance and compliance with added centralised control over data usage, lineage, and versioning.
- Adaptability, integrate with cloud, hybrid, or on-prem environments to match infrastructure needs.
These advantages make AI factories a strategic asset for organisations pursuing data-driven innovation.
Yes, small businesses can use AI factories by leveraging cloud platforms that provide pre-built templates and low-code options. These tools make it easier and more affordable for smaller teams to deploy AI workflows without building complex infrastructure from scratch. Contact our Cloud team for your readiness check today.
An AI factory helps your business scale AI by systematising the model development pipeline. Allowing teams to: reuse components, reduce development time, ensure consistency, and deploy models faster. This scalability is essential for companies looking to integrate AI into multiple departments or products.
Yes, AI factories can integrate across environments. Hybrid and multi-cloud setups allow companies to process data where it lives: whether in the cloud, at the edge (e.g., IoT devices), or in secure on-premises systems, always ensuring flexibility and compliance. Contact our specialised team for your readiness check today.
Yes, AI factories can integrate across environments. Hybrid and multi-cloud setups allow companies to process data where it lives: whether in the cloud, at the edge (e.g., IoT devices), or in secure on-premises systems, always ensuring flexibility and compliance. Contact our specialised team for your readiness check today.
Migrating to an AI factory model is a strategic move that requires planning, the right tools, and experienced support. Scan AI acts as your specialist partner to streamline this transformation, bringing technical expertise, cutting-edge infrastructure, and industry-proven workflows.
Here’s how the migration journey typically unfolds with Scan AI by your side:
- Discovery & Assessment – Starting with a full audit across the whole business that identifies bottlenecks in data prep, model development, and deployment.
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AI Factory Blueprint Design – Our teams work with you to design a scalable & secure AI factory architecture tailored to your goals. This includes:
- Standardised data ingestion and pre-processing pipelines
- Reusable model training and deployment workflows
- Governance and monitoring frameworks
- On-prem, cloud, or hybrid infrastructure integration
- Infrastructure & Platform Setup – Choose infrastructure and tools that support scalability, are built for performance, security and long-term growth.
- Automation and MLOps Integration – We help operationalise your AI workflows with best-in-class MLOps practices—introducing version control, CI/CD pipelines, model monitoring, and retraining strategies. This enables continuous delivery of AI models across teams and business units.
- Team Enablement – Scan AI doesn't just build the factory; we empower your team to run it. Alongside NVIDIA, we can provide documentation, training, and ongoing support to ensure your data scientists, engineers, and decision-makers can maintain, scale, and improve the system confidently.
- Ongoing Optimisation & Support – Your AI factory isn't a static solution. Scan AI offers long-term support and optimisation services, helping you manage compute resources efficiently, track carbon usage, refine models, and adopt emerging AI tools.
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