Fast-Track
Enterprise-Grade Infrastructure
The TELUS Sovereign AI Catalyst program is more than a compute grant; it is your fast-track to enterprise-grade infrastructure. While other clouds off er credits for waitlisted hardware, we provide guaranteed access to the world’s most powerful GPUs, ensuring your model training never stalls.
In addition to providing grants for access to incredibly high performance compute clusters, we make it simple to deploy models (open-source or customer-provided) as inference endpoints and allow ML researchers and data scientists to prototype in Notebooks. Once the grant period has expired, our venture companies can easily keep their compute environment and continue to receive reserved capacity at a preferred rate.
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Key Benefits of TELUS' Sovereign Catalyst Program
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FAQs about TELUS' Sovereign AI Catalyst Program
What sets TELUS' Sovereign AI Catalyst Program apart
- Built for Developers, Optimized for AI: We provide a purpose-built environment designed to accelerate the end-to-end AI lifecycle, giving you control without the infrastructure headache.
- Instant Prototyping: Spin up Jupyter Notebooks immediately for rapid experimentation and model development.
- Production-Ready Inference: Leverage NVIDIA NIMs (Inference Microservices) to deploy optimized pre-built models or bring your own Open Source Software (OSS) models with one-click inference endpoints.
- Flexible Orchestration: Architect your way with support for both Virtual Machines (VMs) and managed Kubernetes clusters, allowing for scalable training jobs.
- Eliminate I/O Bottlenecks: Keep your GPUs fed with WEKA high-speed NVMe storage, specifically engineered to handle the massive throughput required for training large models.
- Massive Compute Density: Access NVIDIA H200 GPUs interconnected with NVIDIA InfiniBand networking for ultra-low latency distributed training.
Who is this collaboration for?
AI startups and scaleups building compute-intensive products that need reliable GPU availability for:
- Training and fine-tuning foundation models and domain-specific models
- High-throughput inference for production deployments
- Large-scale experimentation, evaluation, and synthetic data generation
- Multi-tenant enterprise AI platforms and AI-native SaaS products
Applied research teams and developers who require reserved capacity for sustained work, including:
- University labs, research institutes, and consortia running long-duration training runs
- Developers creating advanced AI tools, agentic workflows, and enterprise RAG systems
- Teams working with sensitive datasets that must remain under Canadian jurisdiction
Are you prioritizing specific vertical markets?
The collaboration will prioritize organizations in regulated and mission-critical sectors where data residency, auditability, and Canadian legal jurisdiction are essential, including:
- Healthcare & Life Sciences: medical imaging, genomics, clinical decision support, drug discovery, patient operations
- Public Sector & Public Services: citizen services, program integrity, digital identity, secure AI modernization
- Financial Services & Insurance: fraud detection, risk and compliance analytics, sovereign AI copilots
- Critical Infrastructure & Utilities: grid optimization, predictive maintenance, outage forecasting, operational resilience
- Telecommunications & Network Intelligence: network optimization, security analytics, AI-enabled service assurance
- Cybersecurity & Digital Trust: threat detection, anomaly monitoring, secure AI operations for regulated environments
- Advanced Industry (manufacturing, logistics, resources): computer vision, robotics, planning optimization, digital twins
How do I get started?
Simply contact our team at info@l-spark.com to get started. We look forward to hearing from you!
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