They outlast platforms, funding cycles, and sometimes even the teams that made them.
Alces Flight exists to support decisions before commitment, when uncertainty remains, authority is still forming, and outcomes are not yet defined.
We work at the decision layer of High-Performance computing and Artificial Intelligence. Our role is to help organisations understand their context, surface constraints, and develop meaningful pathways forward.
We help organisations think clearly about long-term technical and organisational choices, including:
How supercomputing and AI capabilities are designed and sustained over time
How workforce, governance, and operational realities shape viable architectures
How procurement, sustainability, and community dynamics influence outcomes
Where trade-offs are unavoidable, and where flexibility can be preserved
Our work is based off lived experiences with those building, managing, and running HPC/AI systems and the communities that support them.
Alces Flight is the front door for conversations within the Alces Group.
When appropriate, the work may later involve our sister organisations, which focus on delivery and operations. Engagement is never assumed, routed, or accelerated.
If you are:
shaping a supercomputing or AI direction, rather than selecting a product
navigating uncertainty, constraint, or organisational complexity
responsible for decisions that must remain defensible over time
You have come to the right place. If any of this sounds familiar, we invite you to explore.
We’re not just a pretty bunch of faces! Find out more about our team and the skills and experience we bring together to deliver our award winning subscriptions.
We invite you to explore our resources, or contact us if you would like to start a conversation.
See what we’re exploring at Alces Flight.
Client testimonial
“By using the Alces Flight Center service, they keep all information in one location and launch courses as needed. This ensures their time is spent more on delivering quality coursework while the cloud resource is managed efficiently and cost-effectively.”
Andrea Townsend-Nicholson, Professor of Biochemistry & Molecular Biology University College London (UCL).
