
Perplexity launched Portable Computer, a fully local AI agent. It runs on Nvidia DGX Spark and RTX-equipped Linux machines.
Local work uses no billing credits.
The system asks before using cloud models.
What happened
Perplexity launched 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 with Nvidia RTX GPUs. The launch was developed in close partnership with Nvidia.
Why it matters
This is one of the most aggressive attempts yet to move serious AI agent workloads off the cloud and onto local devices. Work completed locally consumes no billing credits, and every task starts on the device by default, with the system asking permission before sending any step to a more powerful cloud model.
What to watch
The system asks permission before sending any individual step to a frontier model in the cloud, meaning users can choose to keep everything local. The full UI is brought to a fully local app, according to Perplexity's VP of engineering for infrastructure and enterprise, Nate, during a press briefing Monday.
Ask the AI about this article →
Perplexity's Portable Computer represents a shift in how AI agents are deployed, moving from cloud-dependent operations to fully local processing. The partnership with Nvidia is key, as it leverages Nvidia's hardware ecosystem—starting with DGX Spark and RTX GPUs—to provide a seamless local experience. This move addresses growing concerns about data privacy and operational costs, as local processing eliminates token costs and keeps files on the user's machine.
The system's design, where every task defaults to local execution and only sends steps to the cloud with explicit permission, offers users control over their data and spending. This could appeal to enterprise users who handle sensitive information or have strict compliance requirements. By bringing the exact same UI to a fully local app, Perplexity ensures that users do not have to sacrifice functionality for locality, potentially accelerating adoption of on-device AI agents.
As AI workloads become more demanding, the ability to run them on local hardware could reduce reliance on cloud infrastructure, but it also depends on the performance of consumer-grade hardware. Nvidia's DGX Spark, designed for AI at the edge, suggests that high-performance local inference is becoming more accessible. The success of Portable Computer may hinge on whether it can match cloud-based agents in capability while delivering the promised cost savings and data sovereignty.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Israeli startup DataAgent Ltd
SK Hynix presented a custom HBM concept at SEMICON Taiwan 2026, where compute functions are placed in the base…

Taoyuan is positioning itself as a northern hub for AI data centers (AIDC), citing the Tatan area and an LNG c…

The U.S. Department of Defense announced on August 31 that it has deployed ChatGPT Mil, a customized version o…

Nvidia reported earnings that were both remarkable and boring, reflecting its focus on avoiding a consolidated…

Anthropic has agreed to a $35bn cloud-computing contract with Lambda, a Nvidia-backed cloud provider
