What we’re about
About TorontoAI
TorontoAI is a vibrant, inclusive community of engineers, builders, founders, and curious minds passionate about making AI infrastructure more accessible, human-centered, and scalable.
We host bi-weekly in-person socials, tech meetups, and hands-on webinars to connect people across disciplines — from DevOps to Data Science, from students to senior architects. Whether you're deploying LLMs in production or just exploring what Databricks does, you're welcome here.
🤝 We’re Building More Than a Meetup
In a world dominated by virtual everything, we believe in real, human-to-human connection.
TorontoAI is a space to:
- Share ideas over coffee
- Spark collaborations face-to-face
- Meet people who understand your stack and your journey
- Build your network beyond LinkedIn likes
💬 What We Talk About:
- Scalable AI & LLM infrastructure (Kubernetes, GPUs, vLLM, Ollama, LangChain)
- Databricks, Snowflake, Fivetran, dbt — building the modern data stack
- MLOps, LLMOps, DevOps — the operational glue of AI systems
- Real-world engineering stories, founder spotlights, and tool breakdowns
🌈 Who We Welcome:
- DevOps, SREs & Platform Engineers moving into data/AI
- Data Engineers, Analysts & ML practitioners
- Founders, freelancers, and technologists in transition
- Students and early-career professionals seeking real-world exposure
We’re committed to creating a welcoming, diverse, and equity-focused space where all voices matter — no gatekeeping, no rockstars, just good humans building cool stuff.
📍 Based in Toronto, open to the world
📅 Join an event — and be part of something human, helpful, and hands-on.
Upcoming events
3
Canada’s AI Challenges: Are We Ready to Scale?
Toronto, ON, CACanada’s AI Challenges: Are We Ready to Scale?
***** Registration link https://luma.com/xjvjnahx *****
Canada has long been recognized as a global leader in Artificial Intelligence (AI) — with world-class researchers, strong academic roots, and a vibrant startup community. But as the global AI race accelerates, critical questions remain: Do we have the infrastructure, regulation, and public trust needed to truly scale?
This exclusive panel discussion brings together leaders from technology, retail, finance, and media to explore the opportunities and challenges facing Canada’s AI ecosystem.Agenda
5:30 – 6:00 PM · Registration, Welcome Snacks & Refreshments
6:00 – 6:15 PM · Introduction of Panelists & Opening Remarks
6:15 – 7:00 PM · Panel Discussion: Topics- Infrastructure & Power: Canada’s edge in clean energy and next-gen data centers.
- Retail: AI’s impact on grocery, delivery, and retail jobs.
- Finance & Regulation: Responsible AI in banking and the role of policy.
- Public Perception: Media, trust, and shaping Canadian views on AI
7:00 - 7:30 PM: Networking
Please note! Registration for this event will require attendees to go to Luma to register. The link will be included down below
https://luma.com/xjvjnahx
# Panelists
Kyle McCrindle is the co-founder and Chief Technology Officer (CTO) of Denvr Dataworks, a technology company dedicated to reshaping AI cloud infrastructure to foster accelerated innovation. Kyle has previously led technology teams in Capital Markets trading and enterprise data architecture at major Canadian banks. Under his technical leadership, Denvr Dataworks has developed a purpose-built AI cloud platform that makes HPC & AI technologies more accessible, productive, and cost-efficient.
Mohit Rajhans is one of Canadas leading media and tech subject matter experts for National Radio and TV outlets. Advisory consultant and board member, jury and festival founder - Frmr TV and Digital Producer. He is a frequent guest on CTV and other local news channels as a Tech and AI expert. He is also recognized for bridging the gap between culture, business, and technology, helping organizations and audiences understand the evolving impact of innovation on society.
Gayatri Sikka is the Sr. Director of Data & Engineering at Loblaws where she leads teams of data scientists and ML engineers to deliver AI-driven products, pricing optimization, and generative AI strategies. With prior experience at Ritual, Facebook, and NerdWallet, they have built scalable data infrastructures, customer segmentation models, and analytics solutions that transformed growth and engagement across retail and fintech. Their expertise bridges machine learning, data strategy, and product innovation, giving them a unique lens on how AI is reshaping industries and how Canada can scale in the global AI race.Olga Tsubiks is the Director of AI and Data Product at RBC, where she leads teams advancing AI, data science, and analytics across commercial and private banking. With more than six years at RBC, she has guided the development of next-generation AI/ML models, regulatory-aligned frameworks, and data-driven products that shape the future of financial services. A frequent public speaker at global AI and data conferences, she is also the founder of Data for a Cause, a nonprofit initiative that leveraged data visualization for social impact. Her expertise spans AI strategy, data innovation, and responsible AI adoption in highly regulated industries.
## Why Attend?
- Gain insights from AI leaders across industries on the future of Canada’s AI ecosystem.
- Network with startup founders, executives, AI professionals, and students shaping the next wave of innovation.
- Understand the intersection of infrastructure, data, regulation, and public trust in scaling AI responsibly.
## Who Should Join
- Startup founders & entrepreneurs exploring opportunities in AI
- Decision makers & executives navigating AI adoption in their organizations
- AI professionals & data scientists keen on infrastructure, regulation, and use cases
- Computer science & engineering students looking to connect with industry leaders
Canada has the talent, vision, and leadership — but scaling AI will require collective effort across power, policy, and public trust.
Disclaimer: Event Photography & Filming
By attending this event, you acknowledge and agree that you may be photographed, filmed, or otherwise recorded. Your participation constitutes your consent to the use of such photography, video, or recordings by the event organizers for promotional, marketing, and archival purposes. These materials may be published on our website, social media channels, or other platforms.📲 Connect with us:
- Website: https://www.torontoai.io/
- Instagram: https://www.instagram.com/torontoai_
- Facebook: https://www.facebook.com/torontoai
- LinkedIn: https://www.linkedin.com/company/torontoai/
- TikTok: https://www.tiktok.com/@torontoai
#TorontoAI #AISummit #MachineLearning # #RAG #MultiAgentSystems #AIInnovation #Networking #SovereignAI
3 attendees
•OnlineFine-Tune AI Model on H100/A100 with Hugging Face
Online### 🔧 Webinar: Fine-Tuning Google Gemma with QLoRA on H100 GPU (Linux Setup + Hugging Face)
🚀 What You'll Learn:
- How to set up a Linux VM with an NVIDIA H100 GPU (Denvr AI Cloud) for ML workloads
- Installing and configuring NVIDIA drivers and CUDA correctly (no more version mismatch headaches!)
- Fine-tuning Google Gemma using QLoRA and Hugging Face Transformers
- Using real-world Text-to-SQL datasets to train LLMs efficiently
- How to save, merge, and test your fine-tuned models
👨💻 Live Demo Includes:
- End-to-end GPU environment setup
- Installing PyTorch, TRL, PEFT, and related libraries
- Downloading and preparing Hugging Face datasets
- Launching Jupyter Notebook to train and run inference
- Model merging and deployment tips
🎯 Key Takeaways:
- Master CUDA + PyTorch compatibility for training
- Optimize for low memory training with QLoRA
- Easily transition from fine-tuning to inference-ready models
📍 Who Should Attend:
- ML Engineers, Data Scientists, MLOps Practitioners
- Anyone training open LLMs (Gemma, Mistral, LLaMA, etc.)
- Developers struggling with driver/CUDA issues on GPUs
We will be using Denvr AI Compute for this Webinar
106 attendees
Past events
267
