Behind the Growth
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Behind the Growth
Saeed Shamsi on Sovereign AI Data Centers in Canada
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Saeed Shamsi, Director of Engineering and AI Factory Lead at TELUS, joins Mudassar Malik on Behind the Growth to break down what it takes to build enterprise AI infrastructure that can ship fast, compliant, and within Canada’s regulatory boundaries. He opens by grounding the conversation in TELUS’s evolution beyond telecom, and why its expansion into data-driven businesses made sovereign AI a practical necessity, not a future bet.
Saeed explains why TELUS refers to its infrastructure as an “AI factory,” describing it as a system that turns power, cooling, and compute into usable intelligence at scale. He walks through how TELUS retrofitted existing Canadian data centres with GPU clusters designed to support model training, fine-tuning, inferencing, and modern AI applications without forcing customers into a single model, stack, or hyperscaler dependency.
The discussion then shifts to the problem facing Canadian enterprises: the gap between Canada’s AI talent and its lack of domestic compute. Saeed outlines why data residency, jurisdictional control, and regulatory compliance are critical for sectors like healthcare and financial services. He also explains how TELUS is addressing these constraints while giving startups and enterprises room to move, iterate, and retain their IP.
To close, Saeed gets specific about architecture and execution, from adopting NVIDIA’s reference designs to validating performance through global benchmarks. He looks ahead to scaling sustainable, sovereign AI infrastructure so Canadian organizations can compete globally without exporting their data, decisions, or innovation.
Saeed unpacks topics including:
- Sovereign AI infrastructure in Canada
- AI factories and GPU compute
- Data residency and regulation
- Enterprise AI performance benchmarks
- Sustainable, renewable-powered data centres
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