London Cloud & AI Infrastructure 2027

10–11 March 2027 at Excel London, London, United Kingdom. Cloud & AI Infrastructure is a two-day professional exhibition and conference within Tech Show London, organised by CloserStill Media. It focuses on the technologies and decisions involved in building, operating and governing cloud and AI infrastructure.

The 2027 edition is confirmed for these dates and venue. The official event pages reviewed currently provide 2026 conference themes and exhibitor information, while the complete 2027 visitor programme is still to be published.

Why London Cloud & AI Infrastructure matters

Evaluate architecture choices

Cloud, edge, colocation and hyperscale approaches bring different trade-offs in performance, scale, cost and data locality. The 2026 programme themes explicitly addressed those decisions, including AI workload readiness, cloud-native systems and sovereign-cloud strategy.

Connect infrastructure to AI workloads

Previous-edition themes covered AI-as-a-Service, infrastructure for large language models and agentic AI, deployment, compute demand and performance optimisation. These subjects can help technology teams frame questions about how an AI use case will affect capacity, governance and operating cost.

Compare practical solutions

The 2026 exhibitor categories included compute, storage and network services, server technologies, edge computing, cloud-management tools, colocation, managed services and DevOps software. Visitors can use the supplier floor to compare approaches against a defined technical or procurement requirement.

Who should visit London Cloud & AI Infrastructure?

Cloud and infrastructure decision-makers

Useful if you are responsible for enterprise or public-sector technology strategy, architecture or investment. Prioritise:

• Cloud, edge, colocation and hyperscale deployment options
• Resilience, data locality and sovereignty questions
• AI compute requirements and workload placement
• Cost management and performance trade-offs

The organiser positions the wider show for C-level leaders, decision-makers and technology innovators.

Platform, DevOps and infrastructure practitioners

Useful if you build, integrate or operate cloud platforms and supporting services. Compare:

• Networking, storage and server capabilities
• Cloud-management and automation tools
• Service models for compute, storage and networking
• Monitoring, deployment and operational controls

These priorities align with the official cloud event’s 2026 product categories and conference themes.

AI and digital-transformation leaders

Useful if your organisation is moving from AI experimentation toward operational workloads. Explore:

• AI-as-a-Service and cloud-native AI options
• Infrastructure for large language models and agentic systems
• Security, governance and data sovereignty considerations
• Energy-efficient computing and green FinOps

These subjects were identified in the 2026 conference themes; the 2027 agenda should be checked when published.

What can you find at London Cloud & AI Infrastructure?

Cloud, compute and data services

• Hyperscale cloud, cloud-provider and cloud-infrastructure services
• Compute-as-a-service, storage-as-a-service and network-as-a-service
• Colocation services and edge-computing solutions

Infrastructure technology

• Server, storage and networking technologies
• IT infrastructure and hardware
• Cloud and AI management, cost-management and DevOps tools

Specialist services and software

• Managed service providers, resellers and technology consultancies
• AI applications and tools
• Big-data and analytics tools

This is based on the 2026 exhibitor-category directory; it should not be treated as a confirmed list of 2027 exhibitors.

What makes London Cloud & AI Infrastructure different?

It sits inside Tech Show London, where five technology events run together: Cloud & AI Infrastructure, DevOps Live, Cloud & Cyber Security Expo, Big Data & AI World, and Data Centre World. This wider setting can help visitors connect cloud-platform decisions with adjacent questions in cyber security, data-centre operations, DevOps and analytics. The individual event remains focused on cloud and AI infrastructure; use the relevant track and exhibitor categories to keep your visit targeted.

How to prepare for London Cloud & AI Infrastructure

1. Set one decision objective. For example, compare two ways to place an AI workload or identify a shortlist of cloud-management tools that meet a defined operational need.
2. Build a question list. Ask suppliers about workload fit, data location, integration, performance, service boundaries, support, resilience and cost drivers. Tailor questions to the technology you are evaluating.
3. Review the 2026 exhibitor categories. They are useful for mapping the show’s scope, but check the current directory when the 2027 list is released.
4. Check registration and programme updates. Tech Show London’s visitor information requires a valid ticket. It describes free attendance for technology buyers and a separate paid commercial-delegate rate for service and solution providers; confirm current terms before making plans.
5. Prioritise sessions once announced. The 2026 themes covered AI workload infrastructure, sovereignty, cost and sustainability. Use the published 2027 agenda, when available, to select sessions that answer your questions.

How to use the exhibition floor

Keep a short comparison record for each conversation: provider → product or service → workload fit → evidence to request → next action. For a cloud platform, for instance, note how it handles the data-location, performance and operating-cost requirements relevant to your project. Separate a promising demonstration from the documentation or testing you still need before making a decision.

Conference themes from the 2026 edition

The published 2026 themes included secure, sovereign and AI-ready cloud infrastructure; AI-as-a-Service and optimised architecture; AI infrastructure across colocation, edge and hyperscale models; cloud sustainability; AI ethics and governance; and human-centred leadership. These are previous-edition themes, not a promise of the 2027 programme. The organiser is currently inviting speaker applications for 2027; check for the final agenda before choosing sessions.

Travel to London Cloud & AI Infrastructure

The venue is Excel London, One Western Gateway, Royal Victoria Dock, London E16 1XL. The organiser identifies Custom House as the nearest station, served by the Elizabeth line and DLR. The published daily visitor hours are 09:00–17:00 on Wednesday 10 March and 09:30–17:00 on Thursday 11 March 2027. Confirm event arrangements before travelling.

After London Cloud & AI Infrastructure

Turn notes into decisions while conversations are fresh. Group providers by fit, information still required and follow-up priority. Request the technical documentation, service boundaries, security and data-location information, performance evidence or cost assumptions that matter to your evaluation. Record a clear next step for each supplier, then compare proposals against the same workload and governance requirements.

Who should consider exhibiting?

The 2026 directory included cloud and AI service providers, hyperscalers, colocation providers, hardware and network companies, MSPs, resellers, consultancies, software platforms, DevOps tools and analytics vendors. These groups may use the event to explain their offer to technology buyers and practitioners. Exhibitors should define which roles and technical questions they need to reach, then check the organiser’s 2027 exhibitor information for audience fit, stand options and current terms.

London Cloud & AI Infrastructure visitor checklist

Before

• ☐ Write down the workload, platform or supplier decision you want to progress.
• ☐ Check the 2027 ticket terms, exhibitor directory and published programme.
• ☐ Prepare comparable questions on integration, data location, resilience and cost.

During

• ☐ Prioritise relevant cloud, compute, storage, networking and management categories.
• ☐ Record demonstrations and follow-up evidence separately from marketing claims.
• ☐ Leave time for the sessions that match your objectives once the agenda is available.

After

• ☐ Rank contacts by fit and urgency.
• ☐ Request missing technical or commercial information.
• ☐ Compare options against the same use case and decision criteria.

Is London Cloud & AI Infrastructure worth visiting?

It is most relevant to people making or implementing decisions about cloud platforms, AI workloads, data-centre services and supporting infrastructure. The value of a two-day event depends on arriving with a clear question and using the supplier categories and conference agenda selectively. A focused comparison is more useful than trying to cover every track in the wider Tech Show London.

London Cloud & AI Infrastructure 2027 at a glance

Plan your London Cloud & AI Infrastructure visit

Decide which architecture or supplier question matters most, then use this ilikevents guide to build a shortlist of technologies and questions before you register. When the organiser publishes the final 2027 programme, align your session plan with those priorities. Discover. Compare. Evaluate. Follow up.

Cloud and AI infrastructure opportunities in the United Kingdom

Market size and demand

The Office for National Statistics’ August 2026 research estimated market-sector investment in UK digital infrastructure at £11.2 billion in 2025 using an expanded definition that includes assets beyond the headline telecommunications measure. The ONS labels this work as statistics in development and cautions that it is not official statistics for policy or decision-making. Separately, the UK Government’s Compute Roadmap cites £44 billion of private-sector investment in AI data centres over the preceding 12 months in its 2025 publication. These are investment indicators, not a measure of cloud-service revenue or a guarantee of demand for any supplier.

Drivers and commercial opportunities

The roadmap commits up to £2 billion through 2030 to develop a public compute ecosystem and describes plans for AI Growth Zones. It also identifies energy requirements, security and sustainability as important to AI infrastructure. These priorities make several areas worth investigating:

• Compute and cloud infrastructure: suppliers of compute, storage, networking, cloud platforms and managed services may assess how their capabilities fit public and private AI-compute plans. Project access, procurement and technical requirements need to be checked individually.
• Efficient infrastructure and operations: providers of energy-conscious workloads, cloud optimisation and infrastructure-management tools may examine the operational needs highlighted by the roadmap. No specific contract or buyer access is implied.

Market-entry conditions

The primary sources reviewed do not establish product-specific certification, procurement-access or foreign market-entry requirements for the categories at this event. Businesses should verify applicable requirements and eligibility directly before pursuing a UK project or public-sector opportunity.

What this means for exhibitors

Exhibitors may use the show to compare their offer with documented UK investment priorities, identify the infrastructure or governance questions their buyers need answered, and test whether their technical evidence is ready for procurement discussions. The cited public funding and investment figures do not guarantee access to projects or customers.

What this means for visitors

Visitors evaluating cloud and AI systems could use the market context to compare compute, colocation, network, storage and optimisation options against their own capacity, data-location, security and energy needs. The event can help frame supplier questions; investment headlines alone cannot determine which solution is appropriate.