Nvidia RTX Spark Laptops Go On Sale Today: Every Model, Price and Spec
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Nvidia RTX Spark laptops go on sale today, October 16, 2026. The first wave comes from Microsoft, ASUS, Dell, HP and Lenovo, with prices starting at about $2,600 and running to roughly $7,000 for 128GB configurations. Preorders opened October 7, and today is the first shipping and availability date, though some OEM orders may arrive a few days later.
I’ve built PCs around Intel and AMD chips for a long time. This is the first launch day in years where the processor inside a Windows laptop doesn’t come from either of them. RTX Spark is Nvidia’s own Arm-based chip, with Grace CPU cores and a Blackwell GPU sharing one big pool of memory. Today it stops being a keynote slide and becomes something you can actually order. Here’s every model, what it costs, and who should hold off.
Every RTX Spark laptop available at launch
Prices below are US starting and top-end figures as listed at preorder time, mostly at Best Buy and the makers’ own stores. Retailer listings have moved around a bit over the past week, so check the final price at checkout.
| Laptop | Price range (US) | Screen | Memory | Battery |
|---|---|---|---|---|
| Microsoft Surface Laptop Ultra | $2,599.99 to $5,899.99 | 15-inch mini-LED touchscreen | 24GB to 128GB | 92Wh |
| ASUS ProArt P14 | About $2,600 to $6,500 | 14-inch 2880×1800 OLED touch | 24GB to 128GB | 90Wh |
| ASUS ProArt P16 | About $2,800 to $7,000 | 16-inch 3840×2400 OLED touch | 24GB to 128GB | 99.9Wh |
| Lenovo Yoga 9n | About $3,000 to $4,500 | 16-inch 2880×1800 OLED, reversible | 32GB or 64GB | 99.9Wh |
| HP OmniBook Ultra 16 | About $3,200 to $5,000+ | 16-inch 2880×1800 OLED touch | 32GB or 64GB | 99.9Wh |
| Dell XPS 16 Creator Edition | From about $3,800 | 16-inch 3200×2000 OLED touch | 32GB to 128GB | Not yet listed |
A few notes on that table. HP’s OmniBook Ultra 16 only comes with the top 20-core chip. The others offer both chip tiers. Dell’s specs are the least complete, and some of its retail listings don’t match each other, so I’d wait for Dell’s own configurator to settle. Acer and Gigabyte are confirmed RTX Spark partners but haven’t announced models or dates. They come later.
What’s inside: the RTX Spark chip in plain English
Every laptop above uses one of two RTX Spark configurations:
- Top tier: 20 Arm CPU cores plus a Blackwell GPU with 6,144 CUDA cores.
- Lower tier: 18 CPU cores plus 5,120 GPU cores.
The part that matters is the memory. On a normal gaming laptop, the GPU has its own 8GB to 16GB of video memory, and anything bigger than that won’t fit. RTX Spark uses unified memory, so the GPU can use the laptop’s whole RAM pool, up to 128GB. Nvidia says the graphics perform roughly like a desktop-class RTX 5070, at least on paper.
If that sounds like Apple’s M-series pitch, it is. Apple has sold unified memory since 2020, and it worked. The difference here is that you get Nvidia’s CUDA software stack, which nearly every AI tool already supports. For anyone running local AI models, image generation or 3D rendering, that is the whole reason this platform exists.
The Surface Laptop Ultra is the flagship
Microsoft’s machine is the one getting the most attention, and I covered it in detail when Microsoft announced the Surface Laptop Ultra’s price and release date last week. Quick recap: $2,599.99 gets you the 18-core chip, 24GB of memory and a 512GB SSD. The 20-core model with 32GB and 1TB is $3,699.99. The 128GB version is $5,899.99. It comes in Platinum and Nightfall, and Microsoft is offering MacBook owners up to $1,000 back on an eligible trade-in.
Microsoft is also selling a Surface RTX Spark Dev Box desktop for $5,999. That one ships in November, not today.
Which one I’d actually pick
Here’s my blunt take, model by model:
- ASUS ProArt P14 is the one I’d look at first. It’s the lightest of the bunch at about 3.26 lb, it has a proper OLED, and it starts at the same price as the Surface. If you want portability and real GPU power, this is the sweet spot.
- Surface Laptop Ultra is the safest bet if you want first-party Windows support and the best keyboard and trackpad. Microsoft built Windows on Arm, so you’d expect its own hardware to get fixes first.
- ASUS ProArt P16 is for creators who want a 4K-class OLED and the biggest memory option. It’s also the most expensive machine in the lineup.
- Lenovo Yoga 9n is interesting for its reversible screen, but it tops out at 64GB, which undercuts the main reason to buy this platform.
- HP OmniBook Ultra 16 is heavy at about 4.89 lb, but every configuration gets the full 20-core chip.
One spec I’d ignore: the base 24GB configurations. If you’re buying RTX Spark for local AI work, 24GB is the floor, not the target. Spending $2,600 and then finding out your model doesn’t fit is a bad day. I’d treat 48GB or 64GB as the real starting point, and I’d say the same about any unified-memory machine. With memory prices up sharply this year, that extra RAM is also where these laptops get expensive fast.
The catch: Windows on Arm and games
Before you preorder for gaming, know this. RTX Spark runs Windows on Arm, and most PC games are still built for x86 chips. Those games run through Microsoft’s Prism emulation layer. Early demos looked smooth, but emulation always costs something, and anti-cheat systems in many online games have historically been the biggest problem on Arm.
Leaked pre-release testing of a Surface prototype was mixed. GPU results landed around RTX 4070 laptop territory in working benchmarks, and CPU results trailed Apple’s newer M5-class chips. One encouraging finding: performance was the same on battery as when plugged in, which is rare for a Windows laptop with a serious GPU. Treat those numbers as provisional. Final reviews on shipping hardware will tell the real story, and I’ll update our coverage when they land.
If gaming is your main reason to buy, a conventional laptop with a discrete RTX GPU is still the lower-risk choice. Our graphics card buying guide explains how the RTX tiers compare. RTX Spark makes more sense if your work is AI, video, 3D or software development and gaming is a bonus.
Where to buy RTX Spark laptops
In the US, Best Buy has the broadest selection across brands. Microsoft sells the Surface directly, and ASUS, HP, Dell and Lenovo all list their models on their own stores. Shipments start today, but delivery dates depend on the retailer and configuration. High-memory models seem most likely to slip a few days. For a running list of configurations, PCWorld has a useful roundup of every RTX Spark laptop available at launch.
My advice: unless you need the hardware for work right now, wait two to three weeks for full reviews and the first round of driver updates. First-generation platforms always ship with rough edges. The early adopters get to find them, and the next wave of buyers gets the fixes.
Frequently asked questions
When do RTX Spark laptops go on sale?
RTX Spark laptops became available on October 16, 2026, after preorders opened on October 7. Microsoft, ASUS, Dell, HP and Lenovo models are in the first wave. Acer and Gigabyte models are coming later.
How much does the cheapest RTX Spark laptop cost?
The entry price is about $2,600. Both the Microsoft Surface Laptop Ultra ($2,599.99) and the ASUS ProArt P14 start there with the 18-core chip and 24GB of memory. Top configurations with 128GB of memory run from about $5,900 to $7,000.
Can RTX Spark laptops play PC games?
Yes, but with caveats. They run Windows on Arm, so most games run through Microsoft’s Prism emulation, and some anti-cheat-protected online games may not work. The GPU is roughly RTX 5070-class on paper, but full gaming reviews aren’t out yet.
Is RTX Spark better than Apple’s M5 chips?
It depends on what you do. Early leaked tests put RTX Spark’s CPU behind Apple’s newer M5-class chips, but its GPU and CUDA support are strong for AI and creative apps. Wait for final reviews before deciding.
Marcus has been building and tuning custom PCs for over a decade, from budget first builds to water-cooled overclocking rigs. He writes about components, cooling, and squeezing the most performance out of every dollar.
