Genomics & bioinformatics
Plan compute for data-intensive model and analysis workflows.
Private AI hardware
Private AI infrastructure for research and life sciences.
Protect emerging knowledge while giving researchers useful AI capability.
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.
University & institutional research
Create governed AI environments for research teams and shared facilities.
High-IP R&D
Reduce unnecessary exposure of proprietary research, code and experimental data.
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.