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MoonMath launches Zro private coding inference

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MoonMath launches Zro private coding inference
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// 3h agoPRODUCT LAUNCH

MoonMath launches Zro private coding inference

MoonMath has launched Zro, a private, fast inference endpoint optimized for coding agents and long-context workloads. Operating from multi-region EU infrastructure with zero request retention, it supports open-weight models like MiniMax M3 and GLM-5.2 and integrates with popular developer CLI and IDE harnesses.

// ANALYSIS

For developer teams bound by strict EU privacy requirements, public LLM endpoints are often a non-starter. Zro addresses this bottleneck by combining EU hosting with a strict zero-retention policy, while optimizing for long-context workloads that are typical of agent runs.

* **Agent-First Integration:** Rather than just a general API, Zro is built for coding tools, offering easy integration via a dedicated CLI wrapper (`zro launch`) for popular assistants like Claude Code and Codex.

* **Privacy Assurance:** Zero data retention and no training on customer prompts/completions directly appeal to enterprise security teams.

* **Performance Enhancements:** Leveraging HyperQuant compression, custom attention kernels, and hardware-aware deployments specifically to handle heavy, streaming multi-turn coding tasks.

// TAGS
private-inferencecoding-agentdevtoolllm-apiopen-weightsmoonmathprivacyeu-infrastructureai-codingagentllm

DISCOVERED

3h ago

2026-07-16

PUBLISHED

9h ago

2026-07-16

RELEVANCE

8/ 10

AUTHOR

[REDACTED]