Compute

Need GPU compute now?

Sovereign B300 capacity in Waterloo. Skip the AWS waitlist - talk to a real engineer.

Sovereign compute capacity designed for AI training, inference, and HPC simulations - close to the teams building the work.

Workloads

AI training + fine-tuning
High-throughput inference
HPC simulations and analytics
Quantum-adjacent R&D readiness

Why on-campus matters

Keep infrastructure close to your team, reduce latency, and scale without heavy upfront capex - supported by resilient on-site systems.

Private AI. Local AI. Sovereign Compute.

At SPUR, we believe artificial intelligence should work for your business, not the other way around. Whether you are a growing SME taking your first steps into AI or an established enterprise scaling a production workload, SPUR delivers the infrastructure, expertise, and services to get you there securely, efficiently, and on budget.

Your Data Never Leaves the Building

SPUR runs production-grade AI entirely on our own GPU infrastructure in Waterloo, Ontario and across Canada. Your training data, your inference queries, your fine-tuned models - everything stays on hardware you can walk up and touch. No third-party APIs. No data leaving Canadian soil. No hoping that a terms-of-service update changes how your data is used.

Private and Local AI

Your data is your most valuable asset. SPUR's Private and Local AI solutions keep it that way. Unlike public cloud AI services that process your data on shared, third-party infrastructure, SPUR deploys AI models and inference workloads directly within your dedicated environment, either on-premises at your facility or within your private colocation space at a SPUR data centre. Your data never leaves your control.

Data Sovereignty - All inference, training, and model storage occurs within your defined perimeter. Fully compliant with Canadian data residency requirements and sector-specific regulations including PIPEDA, HIPAA, and SOC 2 frameworks.
No Usage-Based Exposure - Your prompts, queries, and outputs are never logged, shared, or used to train third-party models.
Predictable Costs - Fixed infrastructure costs replace unpredictable per-token or per-query cloud billing, delivering long-term cost certainty as usage scales.
Low Latency - Local inference eliminates round-trip API calls to remote cloud endpoints, delivering faster response times for latency-sensitive applications.
Customization - Deploy and fine-tune open-source and commercial large language models tailored specifically to your industry, terminology, and workflows.

Complete AI Integration for Small and Medium Enterprises

AI adoption does not have to be complex or cost-prohibitive. SPUR offers end-to-end AI integration services purpose-built for SMEs, from initial discovery through to full production deployment and ongoing support. We handle the technical heavy lifting so your team can focus on outcomes, not infrastructure.

Discovery and Readiness Assessment - We evaluate your existing systems, data environment, and use cases to identify where AI delivers the highest return.
Solution Design - Tailored AI architecture designed around your business, not a generic template. We match the right models, hardware, and deployment model to your actual needs and budget.
Deployment and Integration - Full deployment of AI infrastructure, including connectivity to your existing business systems, applications, and data pipelines.
Staff Enablement - Practical training to help your team confidently use, manage, and expand AI capabilities over time.
Ongoing Managed Support - Monitoring, maintenance, and optimization as your workloads evolve.

Full-Stack Delivery

SPUR is not just a colocation provider. We deliver the complete stack, from bare metal to business outcomes:

Hardware Solutions

NVIDIA GPU server configuration and deployment including Blackwell B-series and Hopper H-series architecture. High-density compute rack builds with optimized power and cooling. Complete hardware lifecycle management.

Software Solutions

Open-source LLM deployment with custom fine-tuning. Inference serving frameworks, vector databases for RAG workflows, AI gateway and API management, MLOps tooling for versioning and monitoring.

Network and Infrastructure

Low-latency connectivity, full-mesh encrypted networking, networking fabric design for GPU cluster interconnects, and direct peering to major cloud providers for hybrid workloads.

Security and Compliance

Infrastructure engineered to meet SOC 2, PCI-DSS, and ISO 27001 standards. HSTS, encryption at rest, real-time security monitoring, full audit trails, and DSAR workflow for privacy compliance.

Managed AI Services

For organizations that want the power of AI without the overhead of managing it, SPUR's Managed AI Services deliver a fully operated solution with infrastructure, software, security, and support included.

24/7 infrastructure monitoring and incident response
Model performance monitoring and drift detection
Security patching and platform updates
Capacity planning and scaling recommendations
Regular business reviews and optimization reporting

SPUR acts as your AI operations partner, accountable for uptime, performance, and the reliability of your AI environment so your internal team stays focused on strategic priorities.

Why Private AI Matters Now

Data Sovereignty

Canadian data stays in Canada. No CLOUD Act exposure. No cross-border data transfers. Full control over encryption keys and access policies.

Regulatory Readiness

As PIPEDA, the EU AI Act, and Canada's AIDA take shape, organizations using third-party AI face growing compliance risk. Private AI eliminates the biggest variable.

Competitive Advantage

Fine-tune models on your proprietary data without it ever touching a third-party server. Your competitive intelligence stays yours, permanently.

Vendor Neutral

We recommend what is right for your workload, not what benefits a single vendor. One partner from hardware to application layer, no finger-pointing between vendors.

Why SPUR for AI

Facility Infrastructure	Purpose-built data centres with high-density power and cooling designed for GPU workloads
Canadian Operations	Domestic data residency with no cross-border data exposure
Vendor Neutral	We recommend what is right for your workload, not what benefits a single vendor
End-to-End Accountability	One partner from hardware to application layer, no finger-pointing between vendors
SME-Focused Pricing	Scalable engagement models built for organizations without hyperscaler budgets

What We Run Today

SPUR operates production AI workloads across our own infrastructure every day. This is not a roadmap, it is what is running right now:

Large language model inference for document analysis, email triage, and operational briefings
AI-powered application screening and evaluation for venture and scholarship programs
Automated security threat analysis with IP reputation scoring and incident classification
Natural language project extraction from unstructured text, emails, meeting notes, and documents
Real-time AI operations briefings synthesized across multiple business units
Integration with business applications including ERP, CRM, document management, and communication platforms

Every one of these workloads processes sensitive business data. Every one runs entirely on our servers. We built this for ourselves first, and now we deliver the same capability to our clients.

Ready to Own Your AI Infrastructure?

From a single inference endpoint to a fully managed AI platform, SPUR delivers the complete stack.

Request allocation

Email: Contact us