Talk: A live, end-to-end demo of wiring an open-source vision-language model (SmolVLM) into Vertex AI - with a lightning primer on what Vertex AI is, which quotas matter (GPUs), and how to pick the right model tier for your latency x cost sweet spot. We’ll then drive that endpoint from a Firebase web app that streams camera frames and spits back analytics in milliseconds - real-time video AI minus the heavyweight MLOps baggage. Target Audience: Cloud and DevOps engineers, full-stack developers, AI-ML hobbyists, and startup builders already shipping (or keen to ship) on GCP who want a pragmatic path to weaving generative/computer-vision AI into their products and pipelines. Takeaways: A checklist for matching model size/tier to performance and budget. A lightweight pattern for streaming video to that endpoint via Firebase and turning frames into instant insights.
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google cloud platform
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Workshop on fundamentals of infrastructure as code using Pulumi. Learn the Pulumi Programming Model and how to provision, update, and destroy Google Cloud resources.
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In this workshop, you will learn the fundamentals of infrastructure as code through guided exercises. You will be introduced to Pulumi and learn how to use programming languages to provision modern cloud infrastructure. This workshop is designed to help new users familiarize themselves with the core concepts needed to deploy resources effectively on Google Cloud. The basics of the Pulumi Programming Model; How to provision, update, and destroy GCP resources.
Learn how to provision, update, and destroy Google Cloud Platform (GCP) resources using Pulumi.
A hands-on workshop introducing infrastructure as code with Pulumi, using programming languages to provision modern cloud infrastructure on Google Cloud. Covers fundamentals of the Pulumi programming model, provisioning, updating, and destroying GCP resources, and serverless containers on Cloud Run.
Learn the basics of the Pulumi Programming Model.
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