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Perplexity and Nvidia launch Portable Computer, a fully local AI agent

Perplexity and Nvidia launch Portable Computer, a fully local AI agent

New Capabilities

Agentic workloads run on the user's own GPU, with zero token costs for local work

2 days ago: Perplexity and Nvidia launch Portable Computer

Overview

Updated Yesterday

Perplexity launched Portable Computer on Tuesday, a version of its agentic Computer platform that runs entirely on a user's own hardware. Work completed locally costs no tokens, and no data leaves the machine unless the user approves a specific cloud step.

Built with Nvidia, the launch is among the most aggressive attempts to move AI agent workloads off the cloud and onto local devices. It starts on Nvidia's DGX Spark desktop supercomputer and Linux machines with RTX GPUs holding at least 24GB of memory. Windows support arrives in September.

Portable Computer ships to Pro, Max, and enterprise subscribers, with plans starting at $20 per month on top of whatever hardware the user already owns. The economic shift is direct: the per-token cloud billing model gives way to hardware ownership for the bulk of everyday agent tasks.

Why it matters

Enterprises can run AI agents on their own hardware, keeping data local and cutting per-token cloud costs on local steps.

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Key Indicators

24 GB
Minimum GPU VRAM required
Any Nvidia RTX GPU with at least 24GB of memory, roughly an RTX 3090 or newer, can run Portable Computer.
$0
Token cost for work handled locally
Local processing consumes no billing credits; cloud escalation costs only when the user approves a specific step.
27B
Parameters in the local model
Runs Qwen 3.8 27B or PPLX 27B, Perplexity's post-trained Qwen variant; Nvidia's Nemotron 3.5 Lightning (30B) arrives soon.
$20
Monthly cost of Perplexity Pro
Required to download and run Portable Computer; the Max tier costs $200 per month.
15+
Cloud frontier models available for escalation
Users can approve escalation to one of 15+ frontier models for advanced reasoning, web access, or connected apps.

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People Involved

Organizations Involved

Timeline

1 event Latest: 2 days ago
  1. Perplexity and Nvidia launch Portable Computer

    Latest Product launch

    Local-first AI agent runs on Nvidia DGX Spark and Linux machines with 24GB+ RTX GPUs. Zero token cost for local work; cloud escalation requires per-step approval.

Historical Context

2 moments from history that rhyme with this story — and how they unfolded.

August 1981

IBM PC 5150 (1981)

IBM released the 5150, bringing computing to offices and homes. For two decades, computing had run on centralized mainframes operated by specialists in climate-controlled rooms. The PC put that power on individual desks for roughly $1,565.

Then

PC clones flooded the market within a few years, and personal computing became the dominant paradigm.

Now

The shift from centralized to local computing created the software economy built around Microsoft and Intel, reshaping the entire industry.

Why this matters now

Portable Computer moves AI agents from cloud data centers to local hardware, a similar architectural reversal. Where the PC made computing local, this makes AI agent execution local, with the cloud reserved for hard cases.

February 2023

Meta releases Llama (2023)

Meta released Llama, an open-weight large language model that researchers could run on their own hardware. Before Llama, frontier models ran almost exclusively in cloud data centers with per-token API pricing.

Then

Open-weight models created an ecosystem of local inference, privacy-focused deployments, and cheap fine-tuning.

Now

The open-model movement established that useful models could run without cloud infrastructure, enabling the hardware requirements market Portable Computer now targets.

Why this matters now

Portable Computer builds directly on this foundation, using Qwen 3.8 27B and Perplexity's post-trained PPLX variant. Without open-weight models, local agent execution at this scale would not exist.

Sources

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