Agent Sandbox Brings Kernel-Level Guardrails to AI Agents on Kubernetes
Agent Sandbox, a new Kubernetes primitive, was introduced at KubeCon NA 2025 to enhance AI agent management on Kubernetes and Google Kubernetes Engine.
Updates and recent posts about Vertex AI..
That's all about @Vertex AI — explore more posts below...
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@devopslinks shared an update, an hour ago
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AWS Unveils Graviton5: A 192-Core Leap in Cloud Performance and Efficiency
AWS introduces Graviton5-based EC2 M9g instances, boosting performance by 25% and enhancing scalability while reducing costs.
News FAUN.dev() Team
@varbear shared an update, 4 hours ago
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Tor Goes Rust: Introducing Arti, a New Foundation for the Future of Tor
The development of "Arti," a Rust-based Tor implementation funded by Zcash, aims to enhance security and efficiency by addressing the limitations of the current C-based Tor.
News FAUN.dev() Team
@kala shared an update, 4 hours ago
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Gemini Deep Research Is Now Programmable Through a New API
The enhanced Gemini Deep Research agent is now available via API, enabling developers to integrate advanced research capabilities into applications, with the open-sourcing of DeepSearchQA for evaluating complex tasks.
News FAUN.dev() Team
@kala shared an update, 5 hours ago
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GitHub Copilot Adds GPT-5.2 With Long-Context and UI Generation
OpenAI unveils GPT-5.2 for GitHub Copilot, enhancing software engineering with improved long-context reasoning and UI generation, integrated with Microsoft Azure and NVIDIA.
News FAUN.dev() Team
@kala shared an update, 5 hours ago
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GPT-5.2 Quietly Beats Human Experts at Knowledge Work
OpenAI releases GPT-5.2, enhancing professional tasks with improved speed and cost-effectiveness, now available for paid users in ChatGPT and via API.
Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.
The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.
Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.
