Zro

In plain words

Zro is a developer tool that provides private inference for coding agents using open models across multi-region infrastructure. The service is designed to process requests without retaining any data, emphasizing privacy for developers building AI-powered coding applications. It offers fast, optimized inference as an API, making it suitable for teams who need secure model execution without data persistence concerns.

written from the facts on this page · September 2026

From the sources

Fast and optimized open-model inference on multi-region infrastructure with zero request retention.

Run GLM, DeepSeek, and Kimi coding models through a fast, multi-region API with zero request retention and no training on customer data.

Fast multi-region endpoint for open-weight models. Zero data retention, zero training, and optimized for long-context workloads. Zro serves coding-agent workloads across multiple regions, with zero request retention and no training on customer data. Zro is tuned for long-context, multi-turn coding sessions. Under the endpoint, MoonMath applies HyperQuant compression, custom kernels, and hardware-aware deployment. Install the npm package, log in once, then launch supported coding tools with temporary session config. npm install -g @moonmath-ai/zro zro login zro launch claude zro launch codex npm install -g @moonmath-ai/zro zro login zro launch claude --model glm-5.2 zro launch codex --model…from zro.moonmath.ai

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