Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge
Enabling efficient execution of large language models (12B parameters) on resource-constrained devices like laptops with limited RAM while maintaining multimodal and agentic capabilities.
Gemma 4 12B: The Developer Guide
Running high-performance multimodal AI models efficiently on consumer devices without the computational overhead of traditional visual and audio encoders.
Introducing the Google Colab CLI
Developers and AI agents needed a way to seamlessly execute code on remote GPU-powered Colab runtimes without context-switching between local terminals and web interfaces.
Enhancing Android Checkout with Dynamic Callbacks in Google Pay
Android developers needed a streamlined way to integrate Express checkout functionality with Google Pay while handling asynchronous payment callbacks efficiently.
How the community trained Gemma to "Think" with Tunix and TPUs
How to enable developers with limited compute budgets to transform small base language models into capable reasoning engines through efficient training techniques.
Supercharge your integration workflow with the Google Pay & Wallet Developer MCP server
Developers integrating with Google Pay & Wallet APIs experienced friction by having to context-switch between their IDE and external documentation/tools to validate implementations and manage accounts.
The latest updates to Google Pay
Enabling AI agents to autonomously manage payment integrations and commerce workflows while reducing checkout friction across multiple platforms and devices.