Portable Computer for Windows went live on 14 September 2026, three weeks after Perplexity first shipped its local agent for Linux and NVIDIA’s DGX Spark. The release puts the same agent harness, orchestrator, scheduler and a post-trained local model inside the existing Perplexity app for Windows, provided the PC carries an NVIDIA GeForce RTX or RTX PRO graphics card with at least 24GB of video memory. Work the agent finishes on the device does not consume Computer credits.
That summary is accurate, and it leaves out the details that decide whether the update matters to you. Perplexity’s own product page says Windows machines get one local model, PPLX 27B, and that Qwen 3.8 27B “is not available on Windows RTX PCs”, while NVIDIA’s launch blog names Qwen 3.8 27B as the model the app sets up. Setup starts inside a different product, Personal Computer for Windows. And the 24GB rule excludes most gaming PCs, never mind office laptops: in Steam’s August 2026 hardware survey, just 1.50% of systems reported one of the three qualifying GeForce cards the survey lists.
We covered the original launch in detail in Perplexity’s Portable Computer launch with Nvidia, including the benchmarks and the credit arithmetic. This article is about what Portable Computer for Windows changes: which GPUs qualify, which model you actually get, how scheduled tasks and local MCP servers work, where the privacy boundary sits, and where the launch-day coverage got the details wrong. For every other local and cloud release, our AI models, tools and releases hub keeps the running list.
Table of contents
- What Portable Computer for Windows Actually Adds
- Portable Computer for Windows vs the August Linux Launch
- Which RTX GPUs Run Portable Computer for Windows
- How Few PCs Can Run Portable Computer for Windows
- One Model, Not Two: PPLX 27B on Portable Computer for Windows
- Setting Up Portable Computer for Windows Starts With Personal Computer
- What Portable Computer for Windows Saves on Credits
- Privacy Boundaries in Portable Computer for Windows
- Where the Coverage of Portable Computer for Windows Went Wrong
- Who Should Install Portable Computer for Windows Now
- Frequently Asked Questions About Portable Computer for Windows
- References
What Portable Computer for Windows Actually Adds
Portable Computer is the local edition of Perplexity Computer, the agent that plans and carries out multistep tasks. Perplexity says the Windows release “adds Computer’s local agent harness and orchestrator to compatible Windows PCs”, and that the model, agent harness, orchestrator and scheduler run “entirely on the Windows device”. Files, queries and agent activity stay on the PC unless you approve something leaving it.
The same harness, now on the Windows desktop
The harness is the part Perplexity built around a small model rather than borrowing from a general-purpose agent framework. Its August research post describes a deliberately short system prompt, skills that load and unload on demand, context compaction when a job runs long, and an OS-level sandbox for every tool call. Portable Computer for Windows inherits all of that. What changes is the desktop around it: Windows files, Windows applications and the Microsoft tools most offices already run.
Scheduled tasks are the headline feature
The Windows announcement leads with scheduling. Users can set recurring workflows, such as analyses or file processing, to run on a local model on their own hardware instead of doing them by hand. Perplexity’s worked example is a logistics controller who schedules Portable Computer for Windows to reconcile freight invoices in a permitted folder every morning, match each one against the carrier’s local rate sheets, flag duplicate charges and off-contract rates, and produce an exception queue with a recommended dispute action for each.
“The invoice and rate data never leave the company’s device,” the company says. That sentence is the whole commercial pitch of Portable Computer for Windows in one line: recurring, document-heavy work that a finance or operations team would never paste into a chatbot, running on a timer, on hardware the company controls.
Local MCP servers widen what the agent can touch
The second addition is local Model Context Protocol support. Portable Computer for Windows can connect to other desktop applications through MCP servers running on the same machine, so the local model can use those applications’ tools inside a workflow. Perplexity’s example is a designer connecting it to an installed application to create or revise a file, with the model, the source files and every application interaction staying local.
That is a notable turn. For the Linux launch, Perplexity’s research post explains, the team converted the most-used connectors from MCP servers into compact command-line tools, because MCP tool definitions “consume a substantial share of the context” a small model can use well. Local MCP on Windows reopens that door for desktop software. Whether a 27B model copes with a large MCP tool surface is something to test on your own applications rather than assume.
The agent can also work with documents, spreadsheets, presentations, PDFs, code and images stored in folders you permit, then act on them with tools. The permitted-folder model is worth planning around: point it at a working directory, not at a whole user profile.
Portable Computer for Windows vs the August Linux Launch
The Linux release on 25 August and the Windows release on 14 September share one core, but several details moved. The table sets the two side by side using only what Perplexity and NVIDIA published.
| Detail | Linux launch, 25 Aug 2026 | Portable Computer for Windows, 14 Sep 2026 |
|---|---|---|
| Reference hardware | NVIDIA DGX Spark, with RTX PCs “soon” | GeForce RTX and RTX PRO GPUs with 24GB+ VRAM |
| Operating system | Linux | Windows, inside the Perplexity app |
| Local models | PPLX 27B or Qwen 3.8 27B on DGX Spark | PPLX 27B only |
| Setup | One-click setup via the Perplexity app | Personal Computer for Windows first, then local inference in Settings |
| Desktop application tools | Connectors converted to command-line tools | Adds local MCP servers for desktop applications |
| Connectors named by Perplexity | Google Drive, Gmail, Slack, GitHub | Gmail, Outlook, Slack, GitHub |
| Scheduler | Runs on device | Runs on device, promoted as the lead feature |
| Plans | Pro and Max subscribers | Pro and Max, individual and enterprise plans |
| Cloud escalation | 15+ frontier models, on permission | 15+ frontier models, on permission |
What stayed the same
The permission model did not change. When a task needs to send anything from the device to a cloud service, Portable Computer for Windows asks first. Cloud escalation still reaches Perplexity Search, wide or deep research, and “15+ frontier models” for harder reasoning. On-device work still carries no credit charge, and the sandbox is still mandatory rather than optional.
What quietly changed
Two things narrowed and one widened. On RTX hardware the local model choice is PPLX 27B alone, where the Spark offers two. The setup path now depends on a second Perplexity product being installed first. The hardware base, by contrast, widened from a single desk-sized NVIDIA system to any Windows PC with a qualifying card, which is the change that turns Portable Computer for Windows from a developer curiosity into something an IT team might be asked to approve.
The timing also held. Perplexity said in August that Windows support was “coming soon”, and our launch coverage recorded a September target. Delivering Portable Computer for Windows three weeks later is on schedule, which is worth noting in a category where “soon” often means next year.
Which RTX GPUs Run Portable Computer for Windows
NVIDIA’s rule is one line: Portable Computer “is available for NVIDIA GeForce RTX and RTX PRO GPUs with 24GB or more of VRAM”. Perplexity refers to “supported eligible” GPUs and has not published a model-by-model list, so the table applies the 24GB rule to NVIDIA’s own memory specifications.
| GPU | Form factor | Memory | Meets the 24GB rule? |
|---|---|---|---|
| GeForce RTX 5090 | Desktop | 32GB GDDR7 | Yes |
| GeForce RTX 4090 | Desktop | 24GB GDDR6X | Yes |
| GeForce RTX 3090 Ti | Desktop | 24GB GDDR6X | Yes |
| GeForce RTX 3090 | Desktop | 24GB GDDR6X | Yes |
| GeForce RTX 5090 Laptop GPU | Laptop | 24GB GDDR7 | On paper, yes |
| GeForce RTX 5080 | Desktop | 16GB GDDR7 | No |
| GeForce RTX 5070 Ti | Desktop | 16GB GDDR7 | No |
| GeForce RTX 4080 SUPER and RTX 4080 | Desktop | 16GB GDDR6X | No |
| GeForce RTX 5080 Laptop GPU | Laptop | 16GB GDDR7 | No |
| RTX PRO 4000 Blackwell | Workstation | 24GB GDDR7 with ECC | Yes |
| RTX PRO 4500 Blackwell | Workstation | 32GB GDDR7 with ECC | Yes |
| RTX PRO 5000 Blackwell | Workstation | 48GB or 72GB GDDR7 with ECC | Yes |
| RTX PRO 6000 Blackwell Workstation Edition and Max-Q | Workstation | 96GB GDDR7 with ECC | Yes |
The 24GB rule in plain terms
A 27-billion-parameter model has to fit in video memory together with its working context, which is why the line sits at 24GB and why 16GB cards miss out however new they are. The RTX 5080 is two generations newer than the RTX 3090, and the older card qualifies for Portable Computer for Windows while the newer one does not. For anyone buying hardware, the rule is simple: check the memory figure, not the model number.
Laptops are a grey area
NVIDIA’s laptop specifications list the GeForce RTX 5090 Laptop GPU with 24GB of GDDR7, which meets the stated threshold, while the RTX 5080 Laptop GPU carries 16GB and does not. Neither Perplexity nor NVIDIA mentions laptops in the Windows announcements, and both describe support in terms of “compatible” or “supported” PCs. If you plan to run Portable Computer for Windows on a 5090 laptop, treat it as likely rather than promised, and confirm in the app before buying anything.
The newer RTX Spark superchip laptops are a separate question. They use a large pool of unified memory rather than a discrete card with its own VRAM, the same broad design as the DGX Spark that Portable Computer already supports on Linux. Neither company has said whether those Windows machines will count.
RTX PRO workstations are the safer business bet
The RTX PRO line is where business buyers will find the most headroom, from 24GB on the RTX PRO 4000 Blackwell up to 96GB on the RTX PRO 6000 Blackwell, according to NVIDIA’s workstation specifications. NVIDIA also says support for its DGX Station is “expected to come soon”, which would extend Portable Computer beyond PCs and the Spark to NVIDIA’s larger deskside system.
How Few PCs Can Run Portable Computer for Windows
Steam’s monthly hardware survey is the largest public sample of Windows PC graphics cards. It skews heavily towards gaming hardware, so it almost certainly overstates how common a 24GB card is in a typical office. Even so, the August 2026 figures are sobering for anyone hoping to roll Portable Computer for Windows out widely.
1.50% qualify and 3.01% just miss
Add the three qualifying GeForce cards the survey lists, the RTX 4090 at 0.71%, the RTX 5090 at 0.43% and the RTX 3090 at 0.36%, and you get 1.50% of surveyed systems. Add the three high-end 16GB cards in the same chart, the RTX 5080 at 1.71%, the RTX 4080 at 0.67% and the RTX 4080 SUPER at 0.63%, and you get 3.01%. Roughly twice as many Steam users own a premium NVIDIA card that falls short of Portable Computer for Windows as own one that clears the bar.
What this means for an office fleet
The survey’s audience buys graphics cards for games, so business laptops and standard office desktops will sit far below even that 1.50%. The realistic base for Portable Computer for Windows is not “Windows users”. It is engineering, design, data science and research workstations that already carry a big card, plus anyone willing to buy one for the purpose.
That is also why the headline reach claims need care. Perplexity’s July launch post said Personal Computer for Windows brings its agent platform to “more than a billion devices globally”. That describes the cloud product, which runs on ordinary PCs. Portable Computer for Windows is the local layer on top, and its hardware gate shrinks the addressable base by orders of magnitude.
One Model, Not Two: PPLX 27B on Portable Computer for Windows
The model detail is where the two launch posts diverge. NVIDIA’s blog says the app “simplifies setup with a local model, such as Qwen 3.8 27B, that is post-trained to work with Perplexity Computer and optimized for NVIDIA RTX GPUs”. Perplexity’s product page is more specific: on Windows, “Available local model: PPLX 27B. Qwen 3.8 27B is not available on Windows RTX PCs.”
| Platform | Local models Perplexity lists | Notes |
|---|---|---|
| NVIDIA DGX Spark | PPLX 27B and Qwen 3.8 27B | The August reference machine |
| Linux PC with a 24GB+ RTX GPU | PPLX 27B | “Qwen 3.8 27B is not available on Linux RTX PCs” |
| Windows PC with a 24GB+ RTX GPU | PPLX 27B | Set up after Personal Computer for Windows |
| NVIDIA DGX Station | Not yet listed | NVIDIA says support is “expected to come soon” |
| Any supported system | NVIDIA Nemotron 3.5 Lightning | Listed as coming soon |
| Apple silicon Mac | None | Not a supported platform |
Why the two descriptions do not really conflict
PPLX 27B is Perplexity’s post-trained version of Qwen 3.8 27B. Read that way, NVIDIA’s phrase “a local model, such as Qwen 3.8 27B, that is post-trained to work with Perplexity Computer” is describing PPLX 27B by its base model. The practical outcome is the same either way: on an RTX PC, Portable Computer for Windows gives you the post-trained model, not the stock Qwen weights, and you cannot switch to the base model for comparison.
PPLX 27B is the stronger of the two anyway
Perplexity trained PPLX 27B in two stages, rejection fine-tuning followed by reinforcement learning, inside synthetic environments built from the kinds of tasks people run in Computer and containing no real user documents. On its 53-task Local Knowledge Work Bench, PPLX 27B scored 85.4% against 82.6% for base Qwen 3.8 27B in the same harness, at the cost of more tokens, 678k against 520k.
Those results come from a DGX Spark, not a Windows RTX PC. Perplexity has not published any Windows-specific accuracy, speed or token figures for Portable Computer for Windows, so the numbers are a reasonable guide to the model’s quality and no guide at all to how a 24GB card will cope with long contexts.
Only one local model runs at a time
The product page adds a constraint that matters for scheduling: “Only one local model runs at a time.” If you plan several recurring jobs, they share one model on one GPU. That is a queue, not parallel capacity, so stagger schedules rather than stacking every job at 9am, and expect a game, a render or a CAD session on the same card to compete for the memory.
Setting Up Portable Computer for Windows Starts With Personal Computer
Perplexity’s Windows instructions are two steps: “Start with Personal Computer for Windows, then set up PPLX 27B for local inference in Settings on a supported PC.” The announcement adds that you download the local model you want “in one click after selecting it in the model dropdown”.
Personal Computer and Portable Computer are different products
Personal Computer for Windows launched on 28 July 2026. It brings Computer’s cloud agents to the Windows desktop, working across local files, Microsoft 365 and the web, and it is available to Pro, Max and Enterprise subscribers on Windows 10 and 11. Portable Computer for Windows is the local-inference layer inside that app. The names are close enough to confuse a procurement request, so the table separates them.
| Detail | Personal Computer for Windows | Portable Computer for Windows |
|---|---|---|
| Launched | 28 July 2026 | 14 September 2026 |
| Where the model runs | Perplexity’s cloud | Your RTX GPU |
| Credits | Consumed by agent work | Not consumed by on-device work |
| Hardware | A Windows 10 or 11 PC | A Windows PC with a 24GB+ GeForce RTX or RTX PRO GPU |
| Plans | Pro, Max and Enterprise | Pro and Max, individual and enterprise plans |
| Connectors | Microsoft 365 plus 400+ App Connectors | Gmail, Outlook, Slack and GitHub through the local orchestrator, plus local MCP servers |
| Guard on risky actions | Alerts before sending an email or deleting a file | Asks before sending anything to a cloud service |
Pro and Max only
Portable Computer for Windows is available “to Pro and Max subscribers on both individual and enterprise plans”. Pro costs $20 a month and Max $200 a month with 10,000 credits, the figures we reported for Computer in August. There is no free tier for local inference, even though the inference itself runs on a graphics card you paid for. The subscription is the price of the harness, the orchestrator and the model, not of the compute.
What Portable Computer for Windows Saves on Credits
The cost argument is the one Perplexity made in August, now aimed at a much bigger installed base: “When people run work on device, it doesn’t consume Computer credits, making long-running workflows more practical.” The interesting question is how much that is worth once scheduling enters the picture.
The scheduler is where the saving compounds
A one-off task saves a one-off amount; a scheduled task saves it every day. Our effort selector coverage recorded the reference figures: Max at $200 for 10,000 credits, so 2 cents a credit; an eight-minute research task measured at 225.71 credits; and a heavier due-diligence workflow at around 500 credits. The chart runs one such job daily for a 30-day month in the cloud product.
One daily 500-credit workflow uses 150% of a Max allowance in a month, and one daily 225.71-credit task uses 67.7% of it. Run either as a scheduled job on Portable Computer for Windows and the on-device portion costs nothing in credits. Two caveats: the credit figures come from Perplexity’s cloud product, and a smaller local model may take more steps to finish the same job, so measure your own workload rather than borrowing ours.
Escalation is not free
Local work is free at the margin; escalated steps are not. Perplexity’s research post measured advisor escalation on Terminal Bench 2.1, an 89-task coding benchmark. The local Qwen 3.8 27B scored 59.6%. Allowed to consult a Claude Opus 5 advisor, it reached 73.0% at an estimated API cost of $0.415 per rollout. Claude Opus 5 working alone in the same harness scored 82.4% at $0.65 per rollout.
The arithmetic behind “three-fifths”
The gain from escalation is 13.4 points (73.0 minus 59.6; Perplexity quotes 13.5, presumably from unrounded scores). That recovers 58.8% of the 22.8-point gap to Opus 5 alone, for 63.8% of Opus 5’s per-rollout cost ($0.415 divided by $0.65). Perplexity summarises it as “roughly three-fifths of the gap to the frontier at about two-thirds of the frontier’s cost”, and the user decides whether advisor calls are allowed at all and whether each one needs manual approval.
Privacy Boundaries in Portable Computer for Windows
Privacy is the other half of the pitch, and Perplexity’s documentation is unusually specific about where the boundary sits. That makes Portable Computer for Windows easier to assess than most agent products, provided you read the research post rather than the launch blog.
Permission before anything leaves the PC
“When a task needs to send something from the device to the cloud, Portable first asks for the user’s permission before moving forward.” Perplexity’s pull-request example shows the pattern: the agent reviews open pull requests against the local codebase and groups them as ready to merge, needs review, blocked or stale, and only after the engineer approves the summary does it post to the team’s Slack channel and tag the owner of each item.
A PII classifier runs before advisor calls
For escalation to a frontier model, the research post says the harness selects the relevant context, “applies a PII classifier to flag sensitive information, and shows the user what would leave the device”. The advisor receives only the approved context and returns text guidance. It gets no direct access to the device’s files, tools or conversations.
The sandbox refuses to degrade
Tools run in an OS-level sandbox that restricts processes, filesystem paths and network access by policy, which NVIDIA’s post calls Perplexity’s “proprietary SPACE sandbox”. If the sandbox is unavailable, “the harness disables itself before any tool calls rather than degrading to unsandboxed execution”. Perplexity contrasts that with the open-source harnesses Pi and Hermes, which run commands with the user’s own permissions by default.
For anyone writing a data protection assessment of Portable Computer for Windows, that fail-closed behaviour is the most useful sentence in the documentation. The questions left open are the connectors, web search and Slack posts, each of which crosses the boundary by design once approved, and whether approvals are logged anywhere an auditor can see.
Where the Coverage of Portable Computer for Windows Went Wrong
Launch-day coverage leaned heavily on the NVIDIA post, and several details did not survive the trip. The table checks each claim against Perplexity’s own pages.
| Claim | Where it appeared | What Perplexity’s pages say |
|---|---|---|
| The app sets up Qwen 3.8 27B | NVIDIA blog | Windows RTX PCs get PPLX 27B; “Qwen 3.8 27B is not available on Windows RTX PCs” |
| The models include “Qwen3.5 27B” | AlphaSignal | The base model is Qwen 3.8 27B |
| Connectors include OneDrive, Word and Google Drive | NVIDIA blog | The Windows post names Gmail, Outlook, Slack and GitHub for the local orchestrator |
| A list of qualifying GeForce and RTX PRO cards | PC Guide | No model list is published; the 24GB rule also covers the RTX 5090 Laptop GPU and the RTX PRO 4000 and 5000 Blackwell |
| Linux support came first, on 25 August | PC Guide | Correct |
| On-device work “consumes zero account credits” | AlphaSignal | Correct for on-device work; escalation and the subscription still cost money |
The connector list is a real ambiguity
NVIDIA’s list, Outlook, OneDrive, Word, Google Drive, Gmail, Slack and GitHub, may describe everything the Perplexity app connects to, while Perplexity’s shorter list describes what works “through the local orchestrator”. The difference matters because a connector that routes through Perplexity’s cloud is a data flow your privacy review has to cover. Ask which path each connector takes before you enable it in Portable Computer for Windows.
The benchmarks are still from a Spark
Every accuracy number in circulation, from 85.4% on the Local Knowledge Work Bench to 65.1% on ParseBench-100, was measured on a DGX Spark with 128GB of unified memory. A 24GB RTX card has far less memory for context, and Perplexity has not said whether Windows runs use the same context settings. Treat the numbers as indicative for Portable Computer for Windows, not proven.
Who Should Install Portable Computer for Windows Now
The release is genuinely useful for a narrow group and premature for everyone else. The split is mostly about hardware you already own and data you cannot send out.
Strong fits
Teams that already have 24GB workstations on the desk, in CAD, visual effects, data science or research, are the obvious first users, because the hardware cost is sunk. Finance, legal and operations teams with recurring document work, like Perplexity’s freight-invoice example, are the second group. Heavy Computer users whose scheduled jobs would otherwise burn through a Max allowance are the third.
Wait for now
Anyone on 16GB cards, standard business laptops or a Mac should wait; Perplexity’s approach for the Mac is a different design, covered in our piece on Hybrid mode for Mac. So should anyone whose workload is mostly hard reasoning that a 27B model will escalate anyway, and any organisation that needs a clear position on connector data flows before switching agents on.
A two-week pilot
Pick one workflow you can measure. Run it in the cloud product for a week and log the credits. Run it as a scheduled task on Portable Computer for Windows for a week and log escalations, failures and any contention for the GPU. Compare the two logs before buying hardware. It is the same discipline that makes any AI strategy survive contact with real work, and it keeps an agent pilot honest about what autonomous AI agents can finish without help.
Frequently Asked Questions About Portable Computer for Windows
Is Portable Computer for Windows free?
No. It requires a Perplexity Pro or Max subscription on an individual or enterprise plan. Work finished on the device consumes no Computer credits, but steps you approve for cloud escalation do, and you supply the graphics card.
What GPU do I need?
An NVIDIA GeForce RTX or RTX PRO GPU with at least 24GB of VRAM. On the desktop that means an RTX 3090, 3090 Ti, 4090 or 5090, or an RTX PRO card with 24GB or more. The RTX 5080, 5070 Ti and 4080 have 16GB and do not qualify.
Does Portable Computer for Windows run on a laptop?
The GeForce RTX 5090 Laptop GPU has 24GB of VRAM, which meets NVIDIA’s stated rule, but neither company has confirmed laptop support. Check in the app before buying a laptop for this purpose.
Which model does it use?
PPLX 27B, Perplexity’s post-trained version of Qwen 3.8 27B. Perplexity’s product page says the base Qwen 3.8 27B is not available on Windows RTX PCs, and only one local model runs at a time.
Does my data leave the PC?
Not by default. The model, files, queries and agent activity stay local. Anything sent to a cloud service, including web research, advisor calls and posts to apps such as Slack, requires your permission first, and advisor calls pass through a PII classifier.
How is it different from Personal Computer for Windows?
Personal Computer for Windows runs Perplexity’s cloud agents on any Windows 10 or 11 PC and consumes credits. Portable Computer for Windows adds local inference on a 24GB RTX GPU inside that app, so on-device work consumes none.
References
Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX
Portable Computer for Windows is here
Portable Computer: Local-First AI
Introducing Portable Computer for local-first AI
A Local-First Agent for Private and Cost-Effective Knowledge Work
Personal Computer is now available on Windows
Steam Hardware Survey: Video Card Usage
NVIDIA GeForce Graphics Cards Compare
NVIDIA GeForce RTX 50 Series Laptops
Nvidia partners with Perplexity to bring Portable Computer AI to Windows PCs
Perplexity Brings Portable Computer to Windows RTX PCs for Free Local AI
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