Dell Technologies
Workstations, servers, storage and enterprise infrastructure relevant to private and accelerated AI.
Technology ecosystem
AFA’s role is to understand the workload and assemble an appropriate intelligence environment across compute, models, software, interfaces and physical systems—not to force every customer into one vendor stack.

Unless AFA explicitly states a formal status, names on this page describe technologies we work with, evaluate or design around. This distinction is deliberate and consistent with the Trust Centre.
The proposed Sovereign AI & Physical AI Reference Lab is being designed around Dell Technologies and NVIDIA accelerated-computing infrastructure so AFA can build practical expertise from professional AI systems through larger accelerated environments.
Workstations, servers, storage and enterprise infrastructure relevant to private and accelerated AI.
GPU computing, AI software, edge/robotics platforms and accelerated computing for digital and Physical AI.
Customer requirements may lead to local, private, cloud or hybrid combinations rather than a universal topology.
Copilot, Copilot Studio, Azure and Microsoft data/security services where they fit customer environments.
Model choice can depend on capability, licence, privacy, context, cost, latency and governance requirements.
Spatial interfaces and devices can support immersive demonstrations, training and new forms of intelligent experience.
Physical AI can combine sensors, compute, simulation, networking, motion systems, safety controls and fleet coordination. AFA’s developing robotics work is evaluated in that complete context.
Tell us the workload, environment and responsibility; technology selection should follow.
Discuss the Technology Stack