Funding opportunity

Funding opportunity: AIRR compute opportunity: AI open access

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This opportunity is open to UK-based researchers and artificial intelligence (AI) developers from academia, industry, public sector or other organisations.

This funding opportunity offers compute resource aligned with AI for Science priority areas, including:

  • material science
  • nuclear fusion
  • medical research
  • engineering biology
  • quantum technologies
  • AI-driven research and scientific discovery

Each project can apply for between 50,000 and 1,400,000 graphics processing unit (GPU) hours on the Isambard-AI supercomputer, to be used over a six or 12-month project. No funding is provided.

Who can apply

This opportunity is open to eligible researchers from across the UK Research and Innovation (UKRI) remit.

To be a project lead, you must have a contract (of longer duration than your proposed project) or a substantial relationship with your organisation. Project leads for academic-led projects must be employees at lecturer or equivalent level.

Your organisation must be one of the following:

More information on the different types of organisation can be found in our funding rules and research organisations eligible for UKRI funding.

There is no limit to the number of applications from any one organisation.

We welcome collaborative projects.

Applicants can only be project lead on one application to this opportunity.

We consider research technical professionals, including research software engineers, as academic employees. They are eligible to be a project lead or co-lead under the same terms as traditional researchers.

Equality, diversity and inclusion

We are committed to achieving equality of opportunity for all applicants. We welcome and encourage applications from people of all backgrounds and are committed to making our application process accessible to everyone.

What we're looking for

This application process is purely for compute resource. No funding is available.

We are inviting ambitious proposals that use graphics processing unit (GPU) compute to accelerate AI-driven scientific discovery across the UK’s priority domains.

We are seeking high-impact projects of all scales that push the boundaries of science and AI, delivering breakthrough insights, real-world outcomes and economic value.

Applications should demonstrate strong collaboration across disciplines, sectors and institutions, building the partnerships needed to tackle complex challenges and drive transformative innovation in the age of AI.

Priority research areas

Through the AI for science strategy, the government has set out a clear ambition: to position the UK as a global leader in AI-enabled science.

We are prioritising areas where the UK already excels, and where AI has the potential to accelerate discovery:

  • AI for scientific discovery
  • engineering biology
  • fusion energy
  • materials science
  • medical research
  • quantum technology

The area of AI for scientific discovery, also previously covered by the Innovator funding opportunity, includes, but is not limited to:

  • development of novel algorithms and software tools
  • exploring AI-assisted workflows
  • AI-driven data collection, production, and synthesis
  • early-stage development of AI products

The AI Open Access route covers activities that fall into the following categories:

  • fundamental research
  • feasibility studies
  • industrial research
  • experimental development

See more on our categories of research and development.

Trusted research and innovation (TR&I)

UKRI is committed in ensuring that effective collaboration in research and innovation takes place with integrity and within strong ethical frameworks.

TR&I is a UKRI work programme designed to help protect all those working in our thriving and collaborative international sector.

It will enable partnerships to be as open as possible and as secure as necessary.

Our TR&I principles set out UKRI’s expectations of projects awarded through this route in relation to due diligence for UK and international collaboration.

Subsidy control and state aid where applicable

All AIRR access routes provide awards in line with the Subsidy Control Act 2022.

In the ‘Lead organisation details’ section of your application you will be asked questions to indicate if State Aid or Subsidy applies to your organisation, including your subsidy history.

If you are unsure about your obligations under the Subsidy Control Act 2022 or the State aid rules, you should take independent legal advice. We are unable to advise on individual eligibility or legal obligations.

You must always make sure that the resources awarded to you are compliant with all current Subsidy Control legislation applicable in the UK.

See further information about the subsidy requirements for this route, including the relevant support ratios.

Important information

We will not accept requests to significantly delay the award start date.

UKRI and the Department for Science, Innovation and Technology reserve the right to pause your access to AIRR to allow high priority projects and urgent national requirements to access AIRR. We will provide as much notice as possible should this occur and work with you to reschedule work appropriately.

How to apply

To apply

We are using the AIRRPortal for this funding opportunity.

Apply to use AIRR

Read the guidance on how to apply to the AI Open Access route.

If your application does not follow this guidance, it may be rejected.

Read the general guidance on using the AIRRPortal.

Before submitting, it is the lead applicant’s responsibility to ensure that:

  • all information provided in the application is accurate
  • all project information details requested have been provided
  • the application meets the eligibility and scope criteria for the chosen access route
  • the application contains the additional documents requested in the guidance (templates for the documents to be uploaded are available on the AIRRPortal)

What to include in your application

The application consists of two components.

AIRRPortal online form

The form has three sections, not scored by assessors:

  • project details (basic project information), which includes the ‘Upload supporting documentation’ option, where the supporting attachments should be uploaded
  • resource requests (Isambard-AI service)
  • project team (include all project members who will be using the AIRR service)

Supporting documentation

The AI Open Access application form should be uploaded, including:

  • assessment questions (scored by assessors)
  • project details (not scored by assessors) including organisational information, team members, trusted research and innovation, project costs, and subsidy history

The template for the application form is available on the AIRRPortal.

Processing personal data and data sharing

UKRI  will need to collect some personal information to manage your application.

We will handle personal data in line with UK data protection legislation and manage it securely. For more information, including how to exercise your rights, read our privacy notice.

UKRI will need to share the application and any personal information that it contains with the Department for Science, Innovation and Technology (DSIT) so that they can participate in the assessment process.

See more information on how DSIT uses personal information.

How we will assess your application

Assessment process

Eligibility and remit

UKRI will check applications for eligibility and remit.

Expert review

Following UKRI eligibility and remit checks, AI Open Access applications will be subject to distributed peer review (DPR).

In DPR, applicants are also assessors and review other applications submitted to the same funding opportunity to decide who gets funding. By submitting an application, applicants agree to act as reviewers and to have their application reviewed by their peers.

The DPR rules and guidelines are in the Additional info section under ‘Supporting documents’. It is important that you read these carefully before applying.

By applying for this scheme, you are consenting to take part in DPR. Do not apply for this opportunity if you would prefer not to take part in the DPR process.

By submitting an application, you accept the following terms and conditions:

  • all applicants will receive up to five applications to review, of varying level of resource request
  • the reviewer is expected to carefully read all the assigned applications, rate them and provide feedback to the applicants following the rules and guidelines
  • failing to provide the reviews by the deadline will lead to the automatic rejection of the application submitted by the given applicant

By using different reviewer pools, applications will be assigned to reviewers in such a way that scoring an application has no bearing on the ranking of the reviewer’s own application. See the DPR rules and guidelines in the ‘Supporting documents’ section.

Allocating resources

Following assessment, applications will be allocated to one of three tiers.

Resources will be allocated to the applications in the top tier as priority, using partial randomisation as required.

Applications in the middle tier may be recommended for resources using partial randomisation.

Resources are allocated until the budget is exhausted throughout the middle tier.

Each review pool will have a separate resource budget, as a proportion of the overall resource budget for the opportunity.

Assessment by experts remains the mainstay of the process and applications must pass a certain threshold to be deemed competitively strong against the assessment criteria. Therefore, only highly competitive applications will be considered via randomisation.

The UKRI and Department for Science, Innovation and Technology delivery team will make the final allocation decision.

Assessment criteria

The criteria we will assess your application against are:

  • alignment to the funding opportunity’s priority areas and highly credible research outcomes
  • the project has a high degree of ambition, novelty or there is a significant opportunity that would not be possible without access to the AIRR
  • previous use of GPU compute and demonstration that progress of research is contingent on scaling up access to compute resource
  • ethical or responsible research and innovation considerations, including how to manage these considerations

We reserve the right to modify the assessment process as needed.

What happens if you receive an award offer

If your project application is successful, UKRI will send the project lead a formal offer letter, which will contain:

  • the award terms and conditions
  • any subsidy notice required
  • a link to the online equality monitoring form

When you confirm the equality monitoring form has been completed, the project lead will be emailed a project link from the AIRRPortal.

By logging in to the AIRRPortal and accessing the compute resources, you will have accepted the UKRI terms and conditions.

Contact details

Contact us

Email: airr@ukri.org

Additional info

Background

The AIRR programme intends to address the significant shortage of publicly available computing resources in the UK. In January 2025, the government announced expanding AIRR capacity, by at least 20 times by 2030, as part of the AI opportunities action plan.

The government has committed to spending an extra £1 billion to scale up our compute power by a factor of 20, giving Britain the power to become an AI leader.

AIRR is a partnership between:

  • the UK government
  • UKRI
  • University of Cambridge
  • University of Bristol
  • HPE
  • Nvidia
  • Intel
  • Dell

AIRR compute clusters

The government is investing significantly in the Isambard-AI and Dawn AIRR clusters and will have invested over £350 million by 2030.

Isambard-AI (University of Bristol)

The Isambard-AI facility is the UK’s most powerful public compute facility. It is made up of 5,448 Nvidia GH200 Grace-Hopper superchips (supplied by HPE) and operated by the University of Bristol at Bristol’s National Composites Centre.

See further information on the Isambard-AI service.

Supporting documents

Applicant and reviewer guidance (PDF, 310KB)

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