Hands-on Workshop: AI Accelerated - Google Cloud + NVIDIA GPUs

Learn Hands-on from direct NVIDIA and Google Cloud

Important Note: A successful registration for this event will be a two step process as below. Meetup event is only a broadcast at this time and doesn't guarantee a seat to attend the workshop.

Step 1: Registration using the form https://rsvp.withgoogle.com/events/servingopenmodels
Step 2: Confirmation of seat from Google Event team

This is a hands-on workshop with very limited seats delivered by NVIDIA and Google at the Google Toronto Office.

Serving Open Models on Google Cloud Run and GKE

Join NVIDIA and Google Cloud for a hands-on workshop l focused on the cutting edge of enterprise AI, led by NVIDIA Developer Relations Manager Dimitri Maltezakis, and Google Cloud Go-To-Market lead Adam Lord —this session will take you from theory to live deployment.
In this workshop, you will:
Explore AI Infrastructure: Understand how deep integrations between Google Cloud and NVIDIA GPUs (like the RTX PRO 6000) are accelerating AI and data science workloads. Master NVIDIA NIM & Nemotron: Learn about the highly efficient Nemotron 3 family of open models (featuring up to a 1-million-token context length) and how to easily deploy them using NVIDIA NIM microservices. Deploy at Scale: Get hands-on experience deploying optimized large language models using serverless GPUs on Google Cloud Run and Google Kubernetes Engine (GKE).

Register NOW to secure your spot.
https://rsvp.withgoogle.com/events/servingopenmodels

Agenda

12:00 PM - 1:00 PM EDT
Registration & Lunch
1:00 PM - 3:00 PM EDT
Hands On Lab: Open Models on Cloud Run and GKE
3:00 PM - 5:00 PM EDT
Networking Reception

WHAT TO BRING

Please bring your laptop.

Why Attend

Get Hands-on Experience: Complete a guided lab to deploy NVIDIA NIM on Cloud Run using serverless GPUs.
Explore NVIDIA Open Models: Discover the NVIDIA Nemotron 3 family of models (including Nano, Super, and Ultra) and how they span capabilities across reasoning, vision, retrieval, safety, and speech.
Optimize Your GPU ROI: Learn how to right-size GPU capacity and tailor compute resources using fractional G4 VMs powered by NVIDIA vGPU technology.
Scale and Secure AI Workloads: Understand how to deploy and scale models in multi-node GKE environments using NVIDIA Dynamo, and how confidential G4 VMs help safeguard prompts, models, and data.
Discover Cutting-Edge Integrations: Hear the latest on the Google Cloud and NVIDIA partnership, including NeMo Retriever on GKE, RAPIDS on Dataproc, and Gemini on NVIDIA for Regulated and Sovereign AI.

Who Should Attend

AI/ML Developers and Data Scientists
Cloud Architects and Platform Engineers
DevOps and Infrastructure Professionals