Sovereign AI Private CloudOntario-hosted, GPU-backed large language models
Spin up and operate private LLMs in Canadian data centres, with shared GPU capacity and options for fully managed or self-serve deployments. Keep data resident, satisfy industry requirements, and control latency and costs.
What you get
Built for regulated, outcomes-first AI
Everything we deliver is tuned for Canadian governance, leadership visibility, and measurable impact.
Common wins
- Canadian residency for prompts, embeddings, and outputs with predictable latency.
- Managed or self-serve clusters with elastic access to shared GPU pools.
- Isolation, RBAC, and auditability for health, legal, financial, and public-sector teams.
- Cost control versus hyperscale by right-sizing models to your workloads.
Capabilities
How we deliver
Canadian residency by default
All compute and storage run from Ontario data centres. Data stays in-region to satisfy PIPEDA, PHIPA, and sector-specific residency requirements.
- Tenant isolation with dedicated VPCs and private networking.
- Encryption in transit and at rest with customer-controlled keys.
- Configurable retention and deletion policies for prompts and outputs.
Managed or self-serve
Choose fully managed clusters or administer your own. We handle patching, scaling, observability, and GPU scheduling—or hand you the keys with guardrails.
- Shared GPU pools for bursty workloads; dedicated GPUs for steady-state.
- Model catalog options (open-source + fine-tuned) with no data reuse.
- 24/7 monitoring, alerting, and runbooks for managed tenants.
Governed access and auditability
Identity-aware endpoints with RBAC, rate limits, and audit trails so regulated teams can prove control and oversight.
- SSO (SAML/OIDC) and scoped API tokens with expiry.
- Per-tenant and per-project quotas with spend visibility.
- Immutable logs for inference and admin activity.
Built for sensitive industries
Healthcare, legal, finance, public sector, research—industries that need locality, control, and evidence can run safely on local LLMs.
- PHIPA/PIPEDA-aligned operations; data never leaves Canada.
- Content safety and redaction options to prevent leakage.
- Low-latency access for internal agents, chat, and RAG workloads.
Why Suprvisr
What makes this different
Residency without lock-in
Stay in Canada and stay portable. Swap models or providers without rebuilding your stack.
GPU efficiency
Shared GPU pools and right-sized models keep quality up and costs down versus hyperscale endpoints.
Operational guardrails
Access controls, monitoring, and auditability so security and compliance teams are comfortable from day one.
Proof
Recent case study
Ontario healthcare network (concept)
Piloting clinical summarization with a resident LLM
Hosted an in-province LLM for care teams to summarize clinician notes and patient instructions without sending data to U.S. clouds.
- Resident compute and storage to satisfy PHIPA and organizational policies.
- RBAC and audit logging to trace every request and response.
- GPU pooling to balance peak clinic hours and overnight batch summarization.
- Content safety filters to prevent sensitive data leakage in outputs.
Ready to see it for your team?
Book a walkthrough tailored to your data, compliance needs, and business outcomes.