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Portable Computer is Perplexity's new local AI agent - why it's a game changer
Follow ZDNET: Add us as a preferred source on Google. ZDNET's key takeaways * Perplexity's new agentic Portable Computer runs AI locally. * Local AI is faster and cheaper than cloud-based models. * But you'll need some beefy hardware for Linux or Windows. Perplexity has unveiled a new version
[2]
Now Perplexity is trying to get into the local AI action
AI company Perplexity has already tried its hand at search services, advertising, personal assistants, browsers, and a hosted agent platform - and now it's getting into local AI services. The biz, having already built a hybrid agent inference orchestrator that connects cloud and local inference,
[3]
I built a fully local agentic AI setup with one open-source app, and it never touches the cloud
Handing an app permission to browse, write files, and execute on your behalf is powerful, but there's a whole category of work that I think you shouldn't give to a cloud-based agent. Basically, I feel like if you wouldn't send it in a DM or post it on social media, then it's probably best left on
[4]
Perplexity and Nvidia launch Portable Computer, a local AI agent for Nvidia GPUs
Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. First look: Perplexity and Nvidia have jointly launched an agentic AI platform designed to run locally on a user's PC or workstation. Named Portable Computer, it's an optimized version of
[5]
Perplexity launches a local AI agent with zero token costs
It will not incur token costs for tasks completed locally, but can connect to cloud models if needed. Months after launching its agentic AI tool, "Personal Computer," Perplexity is introducing a new option for users who prefer to run their AI agents locally. The company today announced "Portable
[6]
Perplexity Launches Local AI Model That Will Run on Your GPU Instead of the Cloud
Perplexity, a largely forgotten player in the AI space save for its role as Joe Rogan's personal fact checker, is looking to regain some relevance by asking people to think global, process local. The company announced Tuesday that it is launching Portable Computer, a version of its agentic
[7]
I turned two mini PCs into a local AI that reads my whole codebase, and now it reviews my code for me
I've been spending some time with two DGX Sparks recently, with DeepSeek V4 Flash, a 284-billion-parameter model, being my go-to model of choice running across both of them. They're connected over a ConnectX-7 cable with 128 GB of unified memory each, and can push anywhere from 30 to 50 tokens per
[8]
Perplexity and NVIDIA team up to release a local AI agent
Nick Lewis is an editor at How-To Geek. He has been using computers for 20 years --- tinkering with everything from the UI to the Windows registry to device firmware. Before How-To Geek, he used Python and C++ as a freelance programmer. In college, Nick made extensive use of Fortran while pursuing
[9]
Perplexity's new local-first AI runs on your PC -- and asks before using the cloud
Portable Computer keeps your files and AI tasks on your own hardware, only turning to a cloud model when you give it permission Most AI assistants require you to send your questions, files and other data to somebody else's servers. Perplexity's new Portable Computer turns that arrangement around
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Perplexity partners with Nvidia to launch Portable Computer, a fully local AI agent with zero token costs
Perplexity is launching Portable Computer today, a version of its agentic "Computer" platform that runs entirely on hardware users already own -- starting with Nvidia's DGX Spark desktop supercomputer and Linux machines equipped with Nvidia RTX GPUs. The launch, developed in close partnership with
[11]
Perplexity AI launches Portable Computer on-device AI agent
Perplexity AI launches Portable Computer on-device AI agent Perplexity AI Inc. today introduced Portable Computer, an artificial intelligence agent designed to run on desktops equipped with Nvidia Corp. silicon. The launch follows a report that Nvidia is weighing an investment in the startup that
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Perplexity's New Portable Computer Arrives as a New On-Device AI Agent
* Portable Computer runs on Nvidia DGX Spark * Portable Computer can run with Qwen 3.8 27B model * Portable Computer is available to Pro and Max users Perplexity Computer AI agent was launched earlier this year, in February, as the tech firm's latest multi-model AI workflow system. However, the
[13]
Perplexity Portable Computer: System Leverages NVIDIA DGX Spark, RTX GPUs
Agent-focused computing: The platform goes beyond chat by handling files, coding, research, connected services, and multi-step tasks autonomously. Artificial intelligence tools usually depend on large cloud servers, but Perplexity now wants powerful AI agents to run closer to the user. The company
[14]
Perplexity, NVIDIA Bring Local AI Tools for Better Data Privacy
Perplexity, in partnership with NVIDIA, is bringing locally run AI tools to users through a new feature called Portable Computer. The tool is designed to run AI agents directly on a user's device, reducing the need to send sensitive information to cloud servers. The Portable Computer provides AI
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Perplexity unveiled Portable Computer, a local AI agent that runs entirely on-device using Nvidia GPUs. The platform eliminates cloud dependency for AI tasks, offering zero token costs for local inference while maintaining data privacy. Available now for Pro and Max subscribers on Linux systems with Nvidia DGX Spark or RTX GPUs with 24GB VRAM, Windows support arrives in September.
Perplexity has launched Portable Computer, a local AI agent designed to run AI tasks entirely on-device without cloud dependency
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. Announced in partnership with Nvidia, this local-first agent represents a shift from the company's cloud-based Computer platform introduced in February2
. The platform runs entirely on user hardware, keeping models, files, and work on the local machine while offering the same interface and features as its cloud counterpart4
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Source: Tom's Guide
The primary advantage of Perplexity Portable Computer centers on cost savings and data privacy. Local inference avoids per-token API fees entirely, making it possible to handle high-volume tasks without exhausting tokens or incurring extra costs
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. According to Perplexity, tasks handled locally in an isolated sandbox on your machine reduce the risk of data breaches significantly1
. Nader Khalil, Nvidia's Director of Developer Technologies, emphasized that the platform lets users lean on AI more broadly without worrying about data security or recurring token costs4
. Sensitive data never leaves the device without permission, addressing concerns about sending private information like bank statements, contracts, or health records to cloud servers3
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Source: VentureBeat
Portable Computer demands substantial hardware requirements that may limit accessibility. On Linux systems, the platform requires an Nvidia DGX Spark or other Linux machine with an Nvidia RTX GPU, running Nvidia DGX OS or Ubuntu on ARM or x64 systems
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. For Windows users, expected to gain access in September, machines must feature an Nvidia RTX GPU with at least 24GB of VRAM4
. These Nvidia GPUs with 24GB VRAM typically cost at least $1,500, creating a financial barrier for many users1
. The platform is currently available only to paid Perplexity Pro, Max, Enterprise Pro, and Enterprise Max subscribers1
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Source: SiliconANGLE
Portable Computer offers access to small but capable models for agentic workflows. Users can choose between Qwen 3.8 27B, an open-source model recognized for speed, performance, and prowess with coding and complex tasks, or PPLX 27B, a post-trained version refined by Perplexity for enhanced accuracy and efficiency
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. Support for Nvidia Nemotron 3.5 Lightning, a 30-billion-parameter Mixture-of-Experts model with 3 billion active parameters per token, is coming soon4
. Benchmarks published by Perplexity show Computer running Qwen 3.8 27B on Nvidia DGX Spark achieved an 82.6% accuracy score using 520,000 tokens on the Local Knowledge Work Bench, exceeding Pi's 77.6% and Hermes' 74.0% across 53 tasks4
. On PPLX 27B, accuracy reached 85.4% using 678,000 tokens4
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While emphasizing local inference, Portable Computer maintains the ability to tap into cloud models for complex tasks requiring more powerful frontier models
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. The agent asks for user permission before sending any data to the cloud, ensuring control over when online resources are accessed5
. Users can still connect to external services like Google Drive, Gmail, Slack, and GitHub to incorporate cloud-based files and information1
. This hybrid approach balances the benefits of on-device AI with the flexibility to leverage cloud resources when necessary.Portable Computer arrives amid growing interest in fully local agentic AI setups. Alternative solutions like Eigent, an open-source desktop app built on the CAMEL-AI multi-agent framework, offer similar capabilities for users seeking to keep workflows entirely local
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. Eigent runs specialized agents for development, search, document processing, and multi-modal tasks, with a Coordinator agent decomposing prompts into subtasks dispatched across independent branches running concurrently3
. The platform's timing coincides with Nvidia reportedly contemplating a $30 billion investment in Perplexity, though no official confirmation has been provided2
. As Khalil noted, local AI has reached an inflection point, moving from a hobbyist pursuit toward an indispensable productivity tool4
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