Google Cloud Tech
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Follow along for how-tos, demos, product news, and more. For company updates, check out @GoogleCloud. Watch #GoogleCloudNext on demand ⬇️
Optimize factory operations with Google Distributed Cloud. In this demo, explore how to enable the work force with single-piece flow and batch flow processes using vision AI, K8s, and AI-optimized cloud infrastructure extended to the factory floor edge.
Skills Boost Summer—had me a blast! From learning about Gemini for end-to-end SDLC to building real-world apps with Gemini and Imagen, check out all the labs and courses from Skills Boost Summer that can help you gain skills to grow your career → goo.gle/4m1CLDl
We expanded Compute flexible committed use discounts! Compute Flexible CUDs now cover eligible spend on memory-optimized VM instances & compute-optimized H3 instances. Plus, flexible CUDs extend to your Cloud Run request-based billing & Cloud Functions → goo.gle/45izhXh
Learn how to tap into natural language AI services using the Conversational Analytics API → goo.gle/455d9iX Now in preview, the API integrates multiple AI-powered tools to process user requests, including NL2Query and a Python code interpreter for generating responses.
It’s now easier than ever to leverage Gemini in Firebase Studio to build beautiful, powerful apps in more of your preferred frameworks and languages. Explore Firebase Studio’s new AI-optimized templates, streamlined backend integration, and more ↓
We’ve updated five of our most popular Firebase Studio templates with new AI capabilities ↓
Take this lab to learn how: - RAG enhances LLM capabilities - AlloyDB can be used to find relevant information - Vertex AI and Google's foundation models can provide powerful gen AI capabilities to apps Start building an LLM and RAG-based chat app → goo.gle/4ldO6jj
In this quick demo, we show how to build a competition-aware social scheduling tool using Firebase Studio, Agent Development Kit (ADK), and Agentspace all working together to help teams make smarter, faster content decisions. @StephanieNAnani talks you through it ⤵️
Have you checked out BigLake Iceberg native storage yet? Read how it leverages Google’s Cloud Storage to provide an enterprise-grade experience for managing and interoperating with Iceberg data → goo.gle/3TztYw5
You can set up event-driven transfers that automatically load data from Cloud Storage into BigQuery when it detects changes to your Cloud Storage files. Here's a guide to event-driven transfers from Cloud Storage to BigQuery → goo.gle/3THsPm9
