☕ Cerebras Cafe Compute | Vancouver
An exclusive evening for AI engineers, founders, and builders.
Join a curated group of developers for a hands-on session exploring what becomes possible when inference is no longer the bottleneck. Bring your laptop, build alongside other AI practitioners, exchange ideas, and experience Cerebras in action.
This isn’t a conference. It’s a small, interactive builder session designed for meaningful conversations, live experimentation, and collaboration.
Co-hosted by Daniel, Cerebras Ambassador, and Sigrid Jin, Codex Ambassador
Schedule
6:00 PM Doors open. Settle in and connect with fellow builders.
6:15 PM Welcome and introduction.
6:20 PM Cerebras with Daniel.
6:30 PM Codex with Sigrd.
6:40 PM Live Zoom Q&A.
7:00 PM Introduction to the build session.
7:15 PM Hands-on build sprint. Build, experiment, and collaborate.
7:45 PM Participant show-and-tell.
8:05 PM Networking and discussions.
8:30 PM Event concludes.
Why attend?
Cerebras is the world's fastest AI inference, up to 15x faster than leading GPUs. Cerebras Inference is powered by our Wafer-Scale Engine (WSE-3) - the world's largest AI chip. Experience the speed for yourself with OpenAI Codex-Spark, powered on Cerebras, or one of the open source models like GLM 4.7. Get free compute at Cerebras.ai.
Whether you’re building AI agents, coding assistants, voice AI, or production LLM applications, this is an opportunity to experience the platform firsthand alongside fellow builders and members of the Cerebras community.
Seats are intentionally limited to keep the experience interactive and conversation-driven. Register early to secure your spot.
Join our rapidly growing communities:
Discord ↗
Reddit ↗
X ↗
Ever wondered why the web is the way it is — or who decides where it goes next? The W3C's Technical Architecture Group (TAG) is a group of 12 people tasked with stewardship of the web platform. They review proposals, advise spec authors, and write documents like the Design Principles that shape how new web technologies are built. The TAG is in Vancouver for their face-to-face meeting, and they're joining us for an open panel. Bring your questions about the platform, the opportunities it brings, the challenges it faces, and the features you'd like to see. They're keen to hear from developers and content authors — this is a conversation, not a lecture. Panelists Heather Flanagan — Spherical Cow Consulting Jeffrey Yasskin — Google Brian Kardell — Igalia Yves Lafon — W3C Christian Liebel — Thinktecture Schedule 5:30 — Doors open, food & mingling 6:00 — “What’s New in Web? 2026 Edition” (Christian Liebel) 6:30 — Panel (moderator: Marcos Cáceres, Apple) Free to attend. Everyone welcome — from folks who just started writing JavaScript to people who've been arguing about specs for a decade.
We’re a community dedicated to understanding the foundations of large language models through thoughtful, rigorous discussion. Each week, we gather in downtown Vancouver to engage with influential papers, exchange ideas, and learn together in a welcoming, intellectually curious environment. Please read the paper beforehand (It's okay not to understand everything), meeting is primarily for discussion. 📖 This Week’s Paper Efficient Memory Management for Large Language Model Serving with PagedAttention https://arxiv.org/abs/2309.06180 🕒 Schedule 6:00 PM — Arrival, introductions, and announcements 6:30–7:30 PM — Paper presentation and discussion 7:30 PM onward — continued conversation Past Readings: https://github.com/meghakalia/LLM_paper_reading_group Discord : https://discord.gg/CSmN35Ebm (By friends at a larger machine learning reading group)
Every Thursday at DCTRL (328 West Hastings) For the latest information, see [Vancouver Crypto Events · Events Calendar](https://luma.com/yvr)