This is a hybrid event. Please ensure you select the correct ticket for either in-person or online attendance.
Federated AI Application Container Platform/Registry Feasibility Study Workshop - UCL
Welcome to the Second Federated AI Application Container Platform/Registry Feasibility Study Workshop!
We’re excited to invite researchers, practitioners, and anyone passionate about collaborative AI development to the second workshop in our series on the Federated AI Application Container Platform/Registry Feasibility Study (https://nfcs-networkplus.ac.uk/projects/federated-ai-application-container-platform/). This workshop is part of a four-part series designed to gather community input and technical requirements for a potential National Federated Compute Service (NFCS). Our vision is to create a platform or registry that makes it easier to access and share AI application containers—simplifying workflows and improving user experience for tools like TensorFlow, PyTorch, and DeepSpeed.
Why attend?
- Help shape the future of a national AI infrastructure.
- Share your needs and challenges with containerized AI workflows.
- Explore the technical feasibility and community priorities for a federated solution.
Your insights will directly inform the design of a service that could transform how AI tools are accessed and deployed across the UK research ecosystem.
Event Details:
- Date: 22 January 2026
- Time: 1:00 PM - 5:00 PM GMT
- Format: Hybrid (In-person and Online)
- Location: G01, Bidborough House, 38-50 Bidborough St, London WC1H 9BT (For in-person attendees)
- Catering: Drinks and snacks will be provided for our in-person attendees.
- Agenda: Please refer to the event page: https://www.ucl.ac.uk/advanced-research-computing/events/2026/jan/federated-ai-application-container-platformregistry-feasibility-study-workshop
- Deadline for registering in-person ticket: 15 January 2026
Please select the correct ticket type below to confirm if you will be attending in-person or online.
G01, Bidborough House, 38-50 Bidborough St, London WC1H 9BT
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