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.
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.
DISCOVERED
3h ago
2026-07-16
PUBLISHED
9h ago
2026-07-16
RELEVANCE
AUTHOR
[REDACTED]