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Perplexity is introducing a hybrid AI system that splits work between a user’s personal device and cloud servers. The system will be added to Personal Computer, Perplexity’s AI agent for files, apps, and the web, starting in July.
The idea is simple but important: sensitive or routine tasks can be handled locally on a user’s laptop, while more complex work can still be sent to powerful AI models in the cloud. Perplexity says the system will make those decisions automatically, so users won’t have to choose between local AI and cloud AI before starting a task.
Perplexity is adding a hybrid local-server system to Personal Computer, its AI agent that works across files, apps, and the web.
The system will decide which parts of a task should run locally and which should go to cloud-based AI models.
Sensitive information such as financial records, health information, and personal files could be processed locally by a smaller AI model.
More complicated tasks that require stronger AI capabilities could still be handled by larger cloud models.
Users will not need to manually decide whether to use a local model or a cloud model.
Personal Computer is currently available through Perplexity’s Mac app.
The company says Personal Computer is also coming to Windows.
Perplexity presented the system with Intel, and says the framework also runs on other local silicon, including Nvidia’s RTX Spark platform.
The shift could reduce the amount of expensive cloud computing needed for routine AI work.
“People would rather own a data center in their laptop than build on one they don’t control,” Perplexity says.
Perplexity argues that routine work should not use the same data center resources as a task that truly needs one of the most capable AI models.
Perplexity is positioning personal devices as a more active part of the AI infrastructure, not just endpoints that send requests to the cloud.
The move suggests a future where AI agents handle sensitive personal data more locally, while still relying on cloud models when tasks become too complex.
For users, the main promise is convenience: the system automatically chooses where each part of the work should happen.
For AI companies, the bigger implication is cost and efficiency. If routine work can be done on local hardware, companies may be able to reduce reliance on expensive cloud data centers.