Cloud Run
PulseAugur coverage of Cloud Run — every cluster mentioning Cloud Run across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Google Cloud's Cloud Run and MCP for Production AI Deployment
This article details the process of moving generative AI models from a prototype stage to a production-ready service. It focuses on leveraging Google Cloud's capabilities, specifically Cloud Run and MCP, to manage and d…
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Rust clients demonstrate Gemma 4 interaction via HTTP and MCP
This article details the creation of two Rust command-line interface (CLI) clients designed to interact with the Gemma 4 model. One client directly queries the model's HTTP endpoint, mimicking an OpenAI-compatible inter…
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MCP Python SDK updates from 1.x to 2.x, requiring server migration
The MCP Python SDK has been updated from version 1.x (FastMCP) to 2.x (MCPServer), requiring migration for existing Python MCP servers. This update involves renaming FastMCP to MCPServer and changes to APIs, including t…
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Guide deploys Gemma 4 model on Cloud Run with NVIDIA L4 GPU
This article details a step-by-step guide for deploying the Gemma 4 E2B model on Google Cloud Run, utilizing an NVIDIA L4 GPU. The deployment is managed by a Python MCP server, which has been updated to use the MCP SDK …
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Developer builds self-tasking app that integrates with other AI agents
A developer built a self-tasking application called Today Do for the All Things Agentic Hackathon, designed to autonomously manage daily tasks and recurring pipelines. The application uses Gemini 3.5 Flash for its AI ca…
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Cannabis compliance agent demo rigged by developer, fixed by regulation-based testing
An autonomous compliance agent designed for cannabis inventory tracking was developed for the All Things Agentic Hackathon. The agent, utilizing Gemini 3.5 Flash and running on Cloud Run, faced a challenge where its dem…
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New AI Agent Architecture Prevents False Task Completion Claims
An AI agent architecture called Laspoh Proof has been developed to address the issue of agents falsely reporting task completion. This system separates the agent's planning and execution from a distinct verifier compone…
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Deploying Ruby MCP Servers on Google Cloud Run
This article details how to deploy a Ruby MCP server on Google Cloud Run. It highlights the 30-year history of Ruby and the author's personal experience with the language, particularly through the popularity of Rails. T…
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AI community tackles critical security flaws in Model Context Protocol
Security vulnerabilities within the Model Context Protocol (MCP) are being actively discussed and addressed by the AI community. Research indicates a significant percentage of MCP servers lack basic security features li…
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Optimize Cloud Run for Pub/Sub Model Calls
This article details how to configure a Cloud Run worker to handle model calls triggered by Google Cloud Pub/Sub. It emphasizes managing concurrency and acknowledgement deadlines to prevent duplicate message processing,…
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Google Gemini integrates AI app building into assistants, focusing on maintainability
Google is shifting its focus from standalone AI Studio mobile apps to deeper Gemini integration for app creation, aiming to move app building from specialized tools to everyday AI assistants. While AI app builders can r…
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Developer builds AI data analyst on Google Cloud for conversational business intelligence
A developer has created a multi-agent AI data analyst system on Google Cloud, designed to translate natural language business questions into actionable insights and reports. The project, built using Google Cloud service…
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Google AI Studio enables GitHub repo imports for app development
Google AI Studio has introduced a new feature allowing users to import code directly from GitHub repositories into its Build mode. This functionality transforms existing codebases into a format compatible with AI Studio…
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Unbounded dependency version causes production outage
A routine deployment of a Model Context Protocol (MCP) server using the fastmcp library resulted in a production outage, with all requests returning a 421 Misdirected Request error. The issue stemmed from an unbounded v…
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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…