Google ADK v1.18.0 introduced the Visual Agent Builder — a browser-based interface that lets you design, configure, and test complex…

Announcing new capabilities across the entire agent lifecycle to help developers build, scale, and govern AI agents using Vertex AI Agent Builder. Get started today.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI - GoogleCloudPlatform/generative-ai

Welcome to The Agent Factory, a podcast that goes beyond the hype and dives into building production ready AI agents. Join hosts Shir Meir Lador and Ivan as ...

By: Ekaterina Sirazitdinova, NVIDIA and Ivan Nardini, Google Cloud TL;DR: A technical guide to AI model formats for AI inference. Learn the trade-offs: use Safetensors for fast, secure serialization (replacing .bin), GGUF for quantized local/CPU inference (e.g., llama.cpp), TensorRT for compiled, high-performance NVIDIA GPU engines, and ONNX for graph-level framework interoperability. For further learning and hands-on experience with foundational inference workloads on Google Cloud, conside...

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-python

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI - GoogleCloudPlatform/generative-ai

End-to-end modular samples and landing zones toolkit for Terraform on GCP. - GoogleCloudPlatform/cloud-foundation-fabric

Understand Vertex AI's managed open models as a service (MaaS). Discover, deploy, and use serverless open models, including embedding models.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI - GoogleCloudPlatform/generative-ai