NVIDIA RTX Spark Laptops Start at 9,746 Riyals: When Can One Replace Your Company's Cloud AI Subscription?

The short answer: On October 16, 2026, NVIDIA's RTX Spark laptops went on sale worldwide from ASUS, Dell, HP, Lenovo, Microsoft and MSI, starting at 2,599 US dollars, about 9,746 riyals at the official rate of 3.75. They combine an NVIDIA Grace processor with a Blackwell RTX graphics chip and up to 128 GB of shared memory, so AI models can run on the device itself without sending your files to the cloud. They make sense for a developer, a designer or a team handling sensitive documents. For ordinary office work they are an expensive machine, and because the processor is Arm-based, test your accounting software and printer drivers before you buy.

What did NVIDIA launch, and how much does it cost?

RTX Spark is a single "superchip" that puts the processor, the graphics and the memory in one package. According to NVIDIA's announcement, it delivers up to one petaflop of AI compute (in the FP4 format), with a processor of up to 20 cores, a graphics chip of up to 6,144 cores and up to 128 GB of unified memory shared between them. Pre-orders opened on October 7 and the laptops went on sale on October 16. NVIDIA says compact desktops will follow in November 2026.

The first models are the ASUS ProArt P14 and P16, the Dell XPS 16, the HP OmniBook Ultra and OmniBook X 14, the Lenovo Yoga Pro 9n, the Microsoft Surface Laptop Ultra and the MSI Prestige N16. Microsoft's Surface Laptop Ultra shows how price climbs with memory:

The riyal figures are a straight conversion of the US price. The price at a Saudi retailer may differ, so ask for a local quote before you budget.

What does running AI on the device actually give a company?

Most companies today use AI through a cloud service: the employee types or uploads a file, and it is processed on the provider's servers. RTX Spark offers a different model. NVIDIA says it can run "unmetered" models "without sending data to the cloud". In practice that brings three things:

• Privacy: customer contracts, financial files and internal documents stay on the machine instead of going to an outside server.
• No per-use bill: once you own the device, summarising a thousand pages costs nothing extra, unlike services billed per request.
• Working offline: the model keeps running without an internet connection, for example on a site visit.

How large a model you can run depends on memory. NVIDIA lists its Nemotron 3.5 Bolt model running on a 24 GB configuration, and larger models need 64 or 128 GB. Keep expectations realistic: a local model on a laptop is useful for summarising, drafting, searching your own documents and writing code, but the strongest cloud models remain ahead on the hardest tasks.

The catch: it is an Arm computer

The Grace processor uses the Arm architecture, not the Intel and AMD architecture most office software was built for. Microsoft explains that Windows 11 on Arm runs x86 and x64 applications through emulation, but that emulation only covers ordinary applications and not drivers: any driver must be built natively for Arm64. In its review of the Surface Laptop Ultra, PCWorld noted that some applications do not run natively, and that Adobe Premiere at first refused to run until a beta version supported the platform.

For a Saudi company, that means checking before buying:

• Your desktop accounting or ERP software, if it is installed on the device rather than used in the browser.
• Printer, label printer and barcode reader drivers.
• The VPN client and the security and antivirus agent your company uses.
• Drivers for USB tokens used for digital signatures or banking.

Local laptop or cloud subscription: who should buy?

The device is a good fit for a developer building AI features into your systems, who needs to test models without a growing API bill; for a team that handles documents it cannot send outside the company; and for designers and video editors, since NVIDIA says it can edit 8K video and render 3D scenes of 90 GB or more. It is not a good fit for an accountant or salesperson whose work is email, spreadsheets and a browser: a cheaper laptop does that job, and the difference pays for a cloud subscription for years. If you are renewing several devices, read our article on replacing company laptops by priority first.

Before you buy: five steps

1. Name the task: what will the employee run on the device that cannot run in the cloud?
2. Choose memory for the task: 24 GB for small models and everyday work, 64 to 128 GB for larger models.
3. Test your programs and drivers on a demo unit or with the retailer before ordering in bulk.
4. Ask for a local quote and warranty in Saudi Arabia rather than relying on the US price.
5. Compare the cost of the device over three years with the cloud subscription it would replace.

The Origami view

Running AI on the device is a real step for companies that hesitated to send their data to the cloud, but it is a tool for specific people, not a reason to replace every machine. Our advice is to start with one or two units for the developer or the team handling sensitive data, measure the benefit for a month, then decide. If you want to build an AI tool that runs inside your company on your own devices or servers, talk to us.

Sources

• NVIDIA: RTX Spark PCs Available Today (October 16, 2026) — availability, starting price, manufacturers, models and specifications.
• NVIDIA blog: RTX Spark and local AI agents on Windows — pre-order date, desktops in November, running models without sending data to the cloud.
• Microsoft: Surface Laptop Ultra — starting price and memory up to 128 GB.
• Microsoft Learn: How emulation works on Arm — x86 and x64 apps run by emulation, drivers must be Arm64.
• PCWorld: Microsoft Surface Laptop Ultra review — configuration prices and application compatibility notes.