Funding opportunity

Funding opportunity: Access to Isambard-AI and Dawn AIRR supercomputers: Gateway route

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This access route is open to UK-based researchers from academia, industry, and other organisations.

It provides flexible computational support for artificial intelligence (AI) related research and development projects, such as:

  • first-time users of AI supercomputing resources
  • testing of (novel) algorithms, code, and workflows
  • benchmarking of algorithms, code, and workflows before applying for larger AI Research Resource (AIRR) opportunities

Each project can access up to 10,000 graphics processing unit (GPU) hours on the Isambard-AI and Dawn supercomputers, to be used within three months. 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) with your organisation.

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, however this route is not aimed at large research consortia.

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

The Gateway route is an open and flexible pathway to request computational resources for users across academia, commercial and individual research. Users should be looking to explore novel and developing areas of AI research, as well as supporting upskilling across a wide range of AI-relevant experience.

Potential AI-related research topics

Research topics include, but are not limited to:

Development of novel algorithms and software tools

Examples include:

  • enhanced performance and efficiency: improved accuracy, processing speed and resource efficiency
  • scalability and adaptability: developing algorithms that are more adept at handling big data, and that can enable AI models to apply knowledge from one domain to another
  • robustness and reliability: developing algorithms that are resistant to adversarial attacks and that can provide clear explanations for their decisions
  • innovation and new applications: novel creative AI algorithms can drive advancements in generative models, or that can that enhance human-AI collaboration to leverage the strengths of both humans and machines
  • ethical and responsible AI: developing algorithms that detect and mitigate biases, and that ensure data privacy

Exploring AI-assisted workflow

Examples include:

Optimisation of experimental parameters

AI can be used to fine-tune experimental setups by analysing vast amounts of data to identify optimal conditions. This can significantly speed up research and development processes in fields like materials science and drug discovery.

AI-enhanced simulations

AI can enhance the accuracy and efficiency of simulations in various domains, such as climate modelling, financial forecasting, and engineering design. By integrating AI, simulations can become more predictive and less computationally intensive

Hypothesis generation

AI can assist researchers in generating new hypotheses by identifying patterns and correlations in data that may not be immediately apparent to humans. This can lead to novel insights and directions for research

AI-driven data collection, production, and synthesis

Examples include:

  • data collection: AI can automate and improve the processes of data collection, ensuring higher quality and more comprehensive datasets
  • data-set curation: using AI to help automate the curation and cleaning process, identifying and correcting errors, filling in missing values, and standardising data formats
  • data-set creation: generating synthetic data or compiling existing data into a structured format

Within these novel and developing areas, we are particularly keen to hear from projects that contribute to delivering against the government’s five missions:

  • growing the economy
  • an NHS fit for the future
  • safer streets
  • opportunity for all
  • making Britain a clean energy superpower

This route covers activities that fall into the following categories:

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

See further information on categories of research and development.

Resources available

Each application can request 10,000 GPU hours on either of the AIRR services, Dawn or Isambard-AI.

The GPU hours must be used within three months of the project being awarded.

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

Trusted research and innovation

UK Research and Innovation (UKRI) is committed in ensuring that effective international collaboration in research and innovation takes place with integrity and within strong ethical frameworks.

Trusted research and innovation (TR&I) is a UKRI work programme designed to help protect all those working in our thriving and collaborative international sector by enabling 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 international collaboration.

Subsidy control and State aid where applicable

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

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

How to apply

You can use the AIRRPortal to apply to use AIRR.

Apply to use AIRR

See guidance on how to apply to the Gateway route. If your application does not follow this guidance, it may be rejected.

General guidance on using the AIRRPortal can be found at:

AIRRPortal: how to apply (UKRI guidance)

AIRRPortal guidance (PDF, 448KB)

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

  • all information provided in the application is accurate
  • the application meets the eligibility and scope criteria for the chosen access route
  • the application contains the additional documents requested in the guidance (templates available on the AIRRPortal)

Processing personal data and data sharing

UK Research and Innovation (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

Gateway applications will be subject to a light touch review by a member of the UK Research and Innovation (UKRI) and Department for Science, Innovation and Technology (DSIT) delivery team.

The aim is that this will be done on a fortnightly cadence, with a maximum time-to-resource-access of one month after the date of submission.

The UKRI and DSIT delivery team will use the following assessment criteria:

  • are the project objectives in scope for the AIRR programme?
  • has the project demonstrated that access to AIRR would add value to the project?
  • have any concerns been raised regarding the project compliance information?

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

Contact details

Contact us at airr@ukri.org to ask for guidance.

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:

  • UK government
  • UK Research and Innovation (UKRI)
  • University of Cambridge
  • University of Bristol
  • Hewlett Packard Enterprise (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 system.

Dawn (University of Cambridge)

The Cambridge Dawn facility is made up of 1,024 Intel Data Centre GPU Max 1550 GPUs. It is a close partnership between Cambridge, Intel and Dell at the Cambridge Open Zettascale Lab.

See further information on the Dawn system.

Supporting documents

AIRRPortal: how to apply (UKRI guidance)

AIRRPortal guidance (PDF, 448KB)

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