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
4
- CA$20.00
Founder Matchmaking Night — Find Your CTO / CMO / CRO
Cafe Landwer Front, 33 Yonge St, Toronto, ON M5E 0A9, Toronto, ON, CAStart your 2026 with Bang!
You got an idea or MVP and want to scale or just looking to partner with like minded Hungry entrepreneurs to build something. Join our Founder Match maker Dinner/Drink.
An invite-only, small-group networking evening for early-stage founders and operators looking to build together.
This is not a typical mixer. The Ticket fee will cover
- Drink
- Sharable
Who should attend
The goal is to create real connections between like-minded entrepreneurs who are:
- Building or validating a startup
- Looking for a CTO, CMO, or CRO
- Open to co-founder or early leadership conversations
We’ll keep the group intentionally small (max 10 people) and use light structure to help meaningful 1:1 conversations.
Luma RSVP Link - https://luma.com/ngmkpzax
- Startup founders (idea → early revenue)
- Technical or business leaders exploring co-founder roles
- Builders serious about long-term collaboration
If you have any questions please reach out to me - C K | LinkedIn
Questions
What best describes you?
- Founder
- Operator (CTO / CMO / CRO)
- Exploring both
What are you currently working on? (1–2 lines)
What role are you looking for right now?
- CTO
- CMO
- CRO
- Co-founder (open)
Startup stage:
- Idea
- MVP
- Early users
- Revenue
Industry or domain (optional)
What are you hoping to get out of this evening? (1 line)
Learn More about TorontoAI - https://www.torontoai.io/3 attendees 
Fine-Tune AI Model on H100/A100 with Hugging Face
·OnlineOnline### 🔧 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
211 attendees
AI Pitch Night: From Idea to Seed
ShyftLabs, 100 Yonge St Suite 1501, Toronto, ON M5C 2W1, Toronto, ON, CARSVP Link - https://luma.com/qhj60bys
TorontoAI Pitch Night is an evening dedicated to early-stage founders building AI-driven startups who are looking to validate their ideas, sharpen their pitch, and connect with potential seed investors, angels, and ecosystem partners.
This event creates a safe, founder-first space where builders can present what they’re working on, get candid feedback, and start real conversations around funding, traction, and next steps.
What to Expect
- Founder Pitches
Selected early-stage startups (pre-seed to seed) will pitch their ideas, products, or MVPs to a live audience of investors, operators, and fellow founders. - Live Feedback & Q&A
Each pitch is followed by constructive feedback from experienced investors, operators, and AI practitioners—focused on clarity, market fit, and execution. - Investor & Operator Presence
The audience includes angel investors, VCs, startup advisors, and senior leaders from AI, cloud, data, and product organizations. - Networking with Purpose
Stick around after the pitches to connect with investors, mentors, potential co-founders, and early customers.
Here’s a clear, application-ready section you can add to the event page or directly reuse in the pitch application form. It sets expectations without discouraging early founders.
***
## Who Can Pitch at TorontoAI Pitch Night
TorontoAI Pitch Night is focused on early-stage, execution-oriented startups that are actively working toward their first institutional or angel investment.
Eligibility Criteria
To apply for a pitch slot, startups must meet the following requirements:
1. Stage & Funding Goals
- Early-stage startups (Pre-Seed to Seed)
- Actively raising a seed round between $10K – $100K
- Clear plan for how the initial capital will be used (product, GTM, hiring, infrastructure, etc.)
2. Product Readiness
Applicants must have at least one of the following:
- A working MVP
- A live demo
- A functional mockup or prototype (Figma, clickable demo, recorded walkthrough, etc.)
> Idea-only pitches without any form of prototype or demo will not be accepted.
3. Pitch Materials (Required)
Startups must submit:
- Pitch Deck (PDF or link)
Recommended: Problem, Solution, Market, Product, Traction, Business Model, Team, Ask - Product Demo / Mockup Link
(Live URL, video demo, or design prototype) - Brief Startup Summary
What you’re building, who it’s for, and why now
4. Founder Commitment
- At least one founder must be present to pitch in person
- Founders should be prepared for live Q&A and feedback
5. Focus Areas (Preferred, Not Mandatory)
While all strong startups are welcome, preference may be given to teams building in:
- AI /ML GenAI
- Data & Analytics
- Developer Tools
- Cloud & Infrastructure
- Healthcare, FinTech, Enterprise AI, or AI-powered SaaS
***
## Pitch Selection Process
- All applications will be reviewed by the TorontoAI organizing team
- Startups will be selected based on:
- Clarity of problem and solution
- Product readiness
- Market opportunity
- Founder insight and execution potential
- Selected teams will be notified prior to the event with pitch format and timing details
2 attendees- Founder Pitches
Past events
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