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Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX

As local models become more capable, AI agents can handle more work directly on a PC while keeping sensitive information on the device.

Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX

As local models become more capable, AI agents can handle more work directly on a PC while keeping sensitive information on the device.

Key specifications and details

  • Portable Computer is a local version of the agent Perplexity Computer that plans and carries out multistep tasks. Accelerated by NVIDIA GPUs, it uses local models to analyze data, bring together information across files and handle recurring work. Sensitive information stays on device, and locally completed work doesn’t consume Perplexity Computer credits. Users can also orchestrate work up to cloud models for more advanced research and reasoning.
  • Perplexity brings local and cloud AI together in one app, letting users work with sensitive files on their PCs and take advantage of Computer’s built-in tools such as the built-in browser and proprietary SPACE sandbox.
  • For tasks that call for more advanced reasoning, Portable Computer can also identify when a task needs cloud support, asking the user for permission before sending information off-device.
  • The app simplifies setup with a local model, such as Qwen 3.8 27B, that is post-trained to work with Perplexity Computer and optimized for NVIDIA RTX GPUs. Users can put the agent to work without having to research models or configure the complex software stack typically required to run local AI.
  • Connectors for Microsoft Outlook, OneDrive, Word, Google Drive, Gmail, Slack and GitHub extend that experience across the files and apps already part of users’ daily workflows.
  • Engineering: Review open pull requests in a connected GitHub project, organize them by status and identify next steps. Computer can also flag outdated documentation and submit proposed updates for review.

Official source: NVIDIA Official Blog

panos kapetanakis
Written by

panos kapetanakis

GamingBroject editorial team contributor.

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