The data center moves to your machine
Blog post from Perplexity
Perplexity announces Personal Computer, described as a hybrid local-server inference orchestrator that automatically divides AI tasks between a user’s device and cloud-based frontier models to balance accuracy, privacy, cost, and energy use. A compact local model identifies sensitive information, such as financial, health, or personal data, that should remain on-device, while more demanding components can be processed in the cloud. The company says its model-agnostic system builds on its existing orchestration of tools, sources, and AI agents, and will support local hardware including Intel chips and NVIDIA RTX Spark. Perplexity argues that stronger local compute could reduce reliance on centralized data centers, support data sovereignty, and improve efficiency by reserving cloud resources for tasks that require them. Personal Computer with local inference is planned for release in July.
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