
Perplexity Computer is introducing hybrid agentic inference that splits tasks between local and cloud AI models. The system uses a compact model on-device to detect sensitive data like financial records, health information, and personal files, keeping them local. When more powerful frontier models are needed, tasks are routed to server-based AI. This dynamic switching happens task by task, without requiring user input. Most real-world tasks involve both sensitive and complex components, so the system autonomously coordinates local and cloud processing. Unlike prior tools that require upfront local/cloud selection, Perplexity's approach adapts per task, improving privacy and performance for users handling personal or confidential data.
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Two-tier AI system keeps sensitive data offline
Summary by ByteBrief