Private AI hardware

AI infrastructure for Physical AI and advanced industry.

Physical AI and advanced industry need compute that connects digital intelligence to real operational work.

Toronto-based Canadian teamGovernance built into deliveryHuman accountability

Workload fit

Start with workload, data sensitivity and operating requirements.

AFA does not treat hardware as a generic box sale. The design should reflect model size, concurrency, memory, storage, networking, security, data location, user workflows and support.

Robotics & Physical AI

Support simulation, perception, model development and robot coordination.

Engineering & design

Run local AI beside CAD, simulation, visualization and technical project data.

Edge & industry

Bring governed AI closer to plants, sites and operational workflows.

Architecture

Private and sovereign AI design

Decide what should run locally, what may use cloud services and how information, models and users are governed.

Explore sovereign AI →

Procurement

Turn requirements into an infrastructure plan

Translate workloads into a practical compute, storage, networking and implementation sequence.

Procurement readiness →

Bring us the decision, workload or capability you need to move forward.

We can help determine the right strategy, governance, training, architecture or infrastructure starting point.

Discuss Your AI Project