AI platforms and infrastructure software
What a tenant deploys on the capacity decides how much of the campus is used and how quickly.
What the project needs
This opportunity is for the software layer a tenant runs on: model serving and inference, orchestration and scheduling, MLOps, data pipelines, and the tooling a tenant needs to put capacity to work.
Who it suits
Organisations building:
- Model serving and inference engines
- Orchestration and GPU scheduling
- MLOps and developer platforms
- Data pipelines and vector databases
- Agent tooling and observability
How it connects to the campus
What to show
At registration, tell us about up to three comparable assignments, completed or in operation, with the year, location, your role, the scale in the measure that fits your discipline, the status and a way to verify it. Newer specialist firms are welcome to present documented pilots and the founding team's record, clearly labelled.
Platforms running in production at scale, the GPU or accelerator estates they run on, how capacity is scheduled and shared, and the standards and interfaces you support.
How to take part
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Register your interest
Tell us about your organisation and your area of interest.
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A conversation
We will arrange a confidential discussion to explore fit and opportunities.
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The data room
Selected organisations will be invited to a data room with further information.
Selected organisations receive, through the data room, the capacity and interface information for their role.
These partners are not procured by the project. This page is here so that an organisation working on this side of the stack can find its place and say what it does.
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