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You can now run Perplexity's local AI agent on your Windows PC
Sep 15, 2026 — 8:11 AM ET

- Perplexity’s Portable Computer can now run on Windows PCs with RTX GPUs.
- It runs AI tasks locally, keeping sensitive files secure and saving token costs.
- Portable Computer requires an RTX GPU with at least 24GB of VRAM.
Perplexity has been rolling out feature after feature this year. After the agentic “Personal Computer,” the company launched a new Portable Computer late last month for NVIDIA DGX Spark systems. Now, Perplexity and NVIDIA are finally making Portable Computer accessible to even more people.
NVIDIA announced today that Perplexity’s Portable Computer now works on Windows machines with compatible NVIDIA RTX GPUs. This means users no longer need a $5,000 NVIDIA DGX Spark setup to run Portable Computer. It also finally opens up access beyond DGX Spark and Linux-based systems.
Perplexity Portable Computer runs completely on-device, with the AI models, tools, and the agent itself installed directly on the user’s computer. This is useful for two main reasons: First, users can hand off tasks to the agentic AI without worrying about privacy because everything runs locally. Second, on-device tasks do not incur token costs, making them more cost-effective.
For more advanced workflows, Portable Computer can still use cloud-based models. However, it asks for permission before offloading any tasks to more powerful cloud alternatives.
Though Portable Computer supports Qwen 3.8 27B and a post-trained version of Qwen 3.8 called PPLX 27B, these models remain exclusive to NVIDIA DGX Spark systems. Users on Linux or Windows machines with RTX GPUs can only use Qwen 3.8 locally. However, Perplexity is working to add support for the NVIDIA Nemotron 3.5 Lightning model on both Linux and Windows.
Portable Computer also requires an RTX GPU with at least 24GB of VRAM. That means you’ll need an RTX 3090, 3090 Ti, 4090, or 5090 to run it, or a professional workstation GPU like the RTX Pro 4000, RTX A5000, or RTX Pro 6000. None of these GPUs are affordable, but they are considerably cheaper than a DGX Spark setup.
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