Cloud Run
PulseAugur coverage of Cloud Run — every cluster mentioning Cloud Run across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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Gemma 4 deployed on Google Cloud Run with NVIDIA Blackwell GPUs
This article details a deployment guide for Gemma 4, a 12B parameter model, utilizing Google Cloud Run with GPU capabilities. It outlines the use of the MCP (Model Control Plane) framework, NVIDIA Blackwell 6000 GPUs, a…
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Gemma 4 12B Model Deployed on Cloud Run with NVIDIA L4 GPUs
This article details a deployment guide for the 12B Gemma 4 QAT model on a Google Cloud Run instance equipped with NVIDIA L4 GPUs. It focuses on implementing speculative decoding to enhance the model's efficiency and pe…
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Gemma 4 Model Deployment and Quantization Performance Explored
This cluster details the deployment and performance of the 12B Gemma 4 model, including its Quantized Aware Training (QAT) variant. Articles provide step-by-step guides for deploying Gemma 4 on Google Cloud Run and Comp…
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Guide Details ADK Agent Deployment on Google Cloud
This article details the process of deploying an ADK Agent, a system designed for AI applications, within a Google Cloud environment. It focuses on integrating the Agent Development Kit (ADK) with the Model Context Prot…
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gemini-faf-mcp tool adapts to local and cloud environments
The gemini-faf-mcp tool has been updated to version 2.4.0, introducing a "Chameleon Edition" that allows a single binary to function as both a local MCP server and a hosted server on Cloud Run. This update enables the t…
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Genkit 2.0 enables TypeScript AI apps with MCP and Cloud Run
Genkit has released version 2.0, offering a framework for developers to build and deploy AI-powered applications using TypeScript. The new version allows for the definition of typed AI actions locally, which can then be…
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Google Genkit 2.0 integrates Firebase, Cloud Run for AI apps
Google's Genkit framework, designed for building AI-powered applications, has reached general availability with version 2.0. This update integrates closely with Google's Firebase and Cloud Run services, enhancing its ca…
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Terraform vs. CI/CD: Choosing the Right Tool for Serverless Deployments
This article argues against using Terraform for application deployments, distinguishing between the slow lifecycle of infrastructure and the rapid, frequent updates required for applications. While Terraform excels at d…
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Secure AI assistant data access with Firebase Auth
This article details how to secure a Model Context Protocol (MCP) server using Firebase Authentication. It outlines a production-ready architecture for an MCP server, which allows AI assistants to access user data, emph…
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Google's Gemini CLI workshop showcases LINE bot creation with MCP
A workshop demonstrated how to use Google's Gemini CLI with Model Context Protocol (MCP) to build a Google Drive LINE bot. The session, part of the Build with AI 2026 event, highlighted Gemini CLI's evolution into a dev…
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Google launches Agent Platform, enhancing AI agent creation beyond Vertex AI
Google is launching its new Agent Platform in 2026, aiming to streamline the creation and deployment of AI agents for enterprises. This platform is designed to be more efficient than its existing Vertex AI offerings. It…
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Solo developers leverage AI for coding and production with OpenCode, Graphify
This article details a solo developer's architecture for offloading intensive coding tasks to AI. It focuses on integrating tools like OpenCode, Graphify, and Cloud Run to manage AI-assisted development without disrupti…
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Replit speeds up deployments with lazy image streaming
Replit is introducing a new deployment feature that streamlines the process from idea to production by converting code into container images. To address slow deployment times caused by large container images, Replit is …