Technology ecosystem

Use the right technology for the job

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.

Use the right technology for the job
Important distinction

Technology references do not imply partnership, reseller, endorsement or certification status

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.

Infrastructure

Dell Technologies and NVIDIA accelerated computing

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.

Dell Technologies

Workstations, servers, storage and enterprise infrastructure relevant to private and accelerated AI.

NVIDIA

GPU computing, AI software, edge/robotics platforms and accelerated computing for digital and Physical AI.

Hybrid architecture

Customer requirements may lead to local, private, cloud or hybrid combinations rather than a universal topology.

Software & intelligence

Use the right intelligence for the workload

Microsoft ecosystem

Copilot, Copilot Studio, Azure and Microsoft data/security services where they fit customer environments.

Commercial & open models

Model choice can depend on capability, licence, privacy, context, cost, latency and governance requirements.

Apple & spatial computing

Spatial interfaces and devices can support immersive demonstrations, training and new forms of intelligent experience.

Physical systems

Robotics requires an ecosystem, not just a robot

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.

Architecture before allegiance.

Tell us the workload, environment and responsibility; technology selection should follow.

Discuss the Technology Stack