AI Governance
How the Hub governs a shared national compute resource – workload quotas, priority tiers, access control, scheduling policy, and data sovereignty.
Because the node is a single shared national resource serving many tenants, AI governance is a core capability, not an afterthought. Governance is the set of rules that decides who gets compute, when, at what priority, and under what data and access controls.
The workload governance framework
Before any usecase enters into production, The following will be defined to govern the workflow:
- Quota policies – GPU time, memory, and storage limits per tenant.
- Priority tiers – which workloads preempt which, and which are protected.
- Scheduling rules & workload calendar – training / fine-tuning placed in off-peak inference windows so services are not degraded.
- Access & identity – authentication and role-based access.
More details coming soon.
Data sovereignty & access control
Governance also covers where data lives and who can reach it: on-node object storage will be provided to keep proprietary Nigerian innovator's data on national infrastructure.
See Governance & Risk for the current risk register and hosting-options analysis, and Workloads for how scheduling enforces policy.
Assessing governance readiness
DSN operates a national instrument for measuring AI governance maturity – GenAIGov, a live, Gates Foundation-funded platform that scores organisations across the eight-part STANDARD framework (Systems, Transparency, Algorithms, Norms, Deployment, Accountability, Risk, Data). Teams seeking node access can be asked to establish governance readiness through it first.
More details coming soon.
Model Lifecycle Support
The Hub's end-to-end model support – helping teams choose the right model, prepare training and fine-tuning, test on the node, and evaluate quality, local-language performance, and safety before deployment.
Responsible AI Assessment
The Hub's capability to assess safety, fairness, and accountability of deployed models – with the highest bar for clinical and high-stakes national use cases.