Building Local-First AI Workflows w/ Razer AIKit

​Ever wondered what it takes to run AI directly on your machine, no cloud, no API bills, no waiting?

​Come find out. Join us to explore how the Razer AI team is approaching local-first AI workflows with Razer AIKit, an open-source toolkit for running and experimenting with AI models directly on your machine.

​See on-device LLM inference live and get some hands-on time with local LLM inference and image generation workflows, and the chance to stress test the setup alongside other builders and tinkerers.

​​​🗓️ Schedule

• ​1330 - 1400: Registration & Setup

  • ​*Do arrive on-time to ensure you have sufficient time to troubleshoot your set-up.

• ​1400 - 1435: Intro to Razer AIKit + Live Demos

• ​1435 - 1500: Hands-On Time

​⚠️Some Important Notes

• ​Please bring an internet-facing laptop for the session.

• ​As this is a hands-on session, please update your RSVP in advance if you're unable to attend. Last-minute cancellations or no-shows are strongly discouraged.

• ​Lorong AI members will be prioritised for the session. Registration is subject to approval.

​🧑‍💻Facilitated by Andrei Kulish (Lead Product Manager, Razer)

​Andrei Kulish is a Lead Product Manager at Razer, where he works on AI infrastructure and local-first AI tooling initiatives including Razer AIKit. His work focuses on enabling developers to run and experiment with AI models across distributed and on-device compute environments. With experience spanning AI platforms, infrastructure, and product development, Andrei is particularly interested in practical approaches to scalable and accessible AI systems

​🤗More About the Series

​Tinker Time is Lorong AI's hands-on meetup combining guided workshops with open collaboration time for builders to share code, troubleshoot together, and experiment with AI development techniques.

​Get involved: Learn more about Lorong AI | Speaker Sign-up | WhatsApp Community | LinkedIn | X