AI Summit - Future of AI Infrastructure
AI Infrastructure: From Power to Production
AI is no longer just about models—it’s about the infrastructure that makes them viable at scale.
This panel brings together senior leaders from data centers, hardware vendors, hyperscalers, and enterprise platforms to walk through the entire AI infrastructure stack—from land and power, to data centers, GPUs, orchestration, models, and real-world applications.
The discussion will follow a layered approach, covering:
How AI-ready data centers are designed and powered
GPU servers and hardware choices shaping AI workloads
Orchestration platforms like Kubernetes and Slurm
Model decisions for training vs inference
How enterprises turn AI infrastructure into business outcomes
Agenda
5:30 – 6:00 PM · Registration, and networking
6:00 – 6:15 PM · Introduction of Panelists & Opening Remarks
6:15 – 7:00 PM · Panel Discussion: Topics
Land & Power - Site selection, power density, grid constraints, renewable vs traditional power, long-term scalability
Data Center Infrastructure - Co-lo vs greenfield, cooling (air/liquid), networking basics, DC readiness for AI workloads
AI Hardware Bare metal vs managed, GPU selection, server design, supply chain constraints, hardware lifecycle
Orchestration Layer - OS choices, Kubernetes vs Slurm, scheduling GPUs, multi-tenant isolation, reliability at scale
Model Layer - Training vs inference, open vs closed models, cost/performance trade-offs, model lifecycle
Applications & Ecosystem - Enterprise adoption, real-world use cases, data pipelines, ROI, operational challenges
7:00 - 8:00 PM: Networking
8:00 - Onwards - Post event Mixers
👉 RSVP on Meetup: Toronto AI Meetup
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