Privacy Guidelines for Cluaiz Technology.
Every single token, parameter weight, and prompt instruction remains 100% locked inside your local workstation or isolated private cloud network. We implement zero external API processing calls.
Our active hardware monitor streams metrics locally to your CLI dashboard in real-time. No analytics, tracking tokens, or dynamic profiles are uploaded to any server.
Distributed VRAM clustering uses strictly peer-to-peer authenticated local sockets. No centralized gateway controls, stores, or intercepts execution steps.
Cluaiz operates on a local-first execution paradigm. We enforce absolute workspace isolation. All compute and model loading operations happen strictly in local RAM and hardware. We do not maintain, lease, or operate central model hosting networks that ingest user inputs.
Unlike standard proprietary LLM networks, Cluaiz has no data monetization layer. We do not track, collect, or catalog your inference logs, prompt patterns, task execution trees, or fine-tuning datasets. Any performance dashboard statistics (TPS, token counts, system VRAM utility) are processed exclusively at the system level and purged automatically upon process termination.
When scaling workloads using masterless multi-node P2P clusters, all data packages are encrypted natively via atomic binary pipelines before propagation across the local high-speed network fabric. The shared namespace remains cryptographically isolated, ensuring that hardware nodes cannot leak private memory contexts or model fragments.
Cluaiz is established in strict adherence to global open-source software security and privacy standards. We govern all technical protocols in compliance with international digital data protection principles and high-grade cryptographic privacy laws, ensuring high-integrity compliance across both local workstation loops and global distributed enterprise nodes.
