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Product Independently confirmed2 publishers 3 min read Published

Perplexity makes "ask before the cloud" a feature, and prices it at DGX Spark

Portable Computer keeps agent work on hardware you own and asks permission before any single step escalates. The entry fee is 24GB of VRAM and a paid subscription.

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What happened

  • Perplexity announced Portable Computer on Tuesday, a version of its agentic Computer platform that runs on Nvidia DGX Spark and other Linux machines with compatible Nvidia GPUs.
  • Tasks start on the local machine, and the system asks permission before sending any individual step that needs stronger reasoning to a cloud frontier model.
  • The release is Linux-first and needs Nvidia hardware with at least 24GB of VRAM, including DGX Spark or DGX OS and Ubuntu machines on ARM or x64.
  • Model choice narrows to two at launch, Alibaba's Qwen 3.8 27B or Perplexity's post-trained PPLX 27B, against the 19 models Computer was pitched with.

Why it matters

  • capability Procurement can now buy an answer to "where does our data go" as a device plus a consent step, instead of accepting a vendor promise about server-side retention.
  • cost The buyer pays roughly $4,500 up front, plus a paid Perplexity tier, before finding out whether a 27B local model handles enough of the work to justify it.
  • contradiction Gizmodo describes Computer as an agent that works while you are away; the privacy control here needs someone present to approve each handoff, so the two pitches pull against each other.
  • exposure Gmail, Drive, Slack and GitHub connectors give data a route off the machine that no escalation prompt governs, which is where a security review will land first.

The escalation prompt is the product. Everything beneath it, the inference engine, the agent harness, the sandbox, the app connectors, is assembly work a competent team could do itself and normally has to [8][7]. What a team cannot easily build is the moment where the agent halts, says this step exceeds the local model, and waits to be told yes or no [2][6]. That is a governance artifact dressed as a UX detail.

The billing design is the part worth reading twice. Locally completed work consumes no credits, and only the portion sent to the cloud counts toward cloud usage [10]. Run that backwards and the invoice becomes a meter: credits accrued are a rough measure of how much of a month's agent work left the box. For an auditor asking where the data went, a line item beats a policy statement.

The awkwardness is in the pairing. Computer was pitched in February as an always-on agent that keeps working whether or not you are at the keyboard, with the processing in the cloud [14]. Portable Computer's privacy claim depends on a human being present to approve handoffs [6]. Neither account says what happens to an unattended overnight run that hits a step the 27B local model cannot handle: it either stalls or the approval degrades into a reflex click. That distinction decides whether this is a compliance control or a dialog box.

The GPU is also not the perimeter. Portable Computer reads local files and PDFs, runs shell commands and searches the web, and connects to Google Drive, Gmail, Slack and GitHub [3]. Gizmodo, citing VentureBeat, describes a demo in which it posted data analysis into a Slack channel on the user's behalf [17]. Data leaves through sanctioned integrations with no frontier model involved and no escalation prompt to approve. Tom's Guide, which credits Perplexity's claim that code and tool use stay inside the local sandbox, said it wanted more detail on exactly what that sandbox can reach and how the permissions are controlled [9]. That is the first question any security review asks, and it is currently unanswered.

Then the bill. Gizmodo puts a Mac Mini with an M4 at about $900 and a DGX Spark at roughly five times that [15], which is about $4,500 [19], one-time rather than metered [18]. Add a Pro, Max, Enterprise Pro or Enterprise Max subscription [13] and a 24GB VRAM floor that clears most desks out of the running [11]. Meanwhile the menu narrows: Computer launched offering 19 models, Portable launches with two [16], seventeen fewer [20]. Pay more, choose less, and in return know which steps ran where. For a regulated team that has been told no to every agent pilot, that trade may be the only one on offer.

What to watch

  • Whether enterprise admins can set escalation as central policy, including a hard refusal, rather than leaving each approval to whoever is at the keyboard.
  • Windows support, due in September, and whether it keeps the 24GB VRAM floor or drops to consumer cards.
  • Whether Nvidia's reported investment at a $30 billion valuation closes, and whether the hardware requirements loosen if it does not.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence36
Adoption13
Hype gap+31
Incentives74
Confidence57
Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    Perplexity announced Portable Computer on Tuesday, bringing its agentic Computer platform to Nvidia DGX Spark and other Linux machines with compatible Nvidia graphics cards.

  2. [2]

    Perplexity says every task begins on the user's machine, and if the local model reaches a step requiring more advanced reasoning, Portable Computer asks permission before sending that individual step to a frontier model in the cloud; the answer returns to the local workflow while files and other sensitive information can remain on the device.

  3. [3]

    Portable Computer can work with files stored on the computer, read PDFs, run shell commands, take dictation and search the web, and users can connect services including Google Drive, Gmail, Slack and GitHub.

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Sources

2 independent publishers whose own reporting we read for this story.

  1. gizmodo.com

    1 article · August 25, 2026

    Perplexity Launches Local AI Model That Will Run on Your GPU Instead of the Cloud
  2. tomsguide.com

    1 article · August 25, 2026

    Perplexity’s new local-first AI runs on your PC — and asks before using the cloud | Tom's Guide

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