Skip to main content
  1. Home
  2. Computing
  3. Gaming
  4. Mobile
  5. News

Nvidia and OEMs may reveal 'mobile' notebook versions of the GeForce GTX 1000 GPUs series

Add as a preferred source on Google
The Gamescom Opening Night Live stage.
This story is part of our complete Gamescom 2026 coverage
Updated less than 5 days ago

The latest rumor surrounding the upcoming mobile versions of Nvidia’s GeForce GTX 1000 graphics chips is that the company will make an official announcement later this month at Gamescom in Germany, which takes place between August 17 and August 21. The rumor arrives by way of Digitimes, which reports that Asus, MSI, Gigabyte, and Clevo will be on hand to showcase notebooks sporting these new-yet-unannounced discrete graphics chips.

According to the report, Nvidia is ditching its “M” label for notebook-bound GPUs, while sticking with the original names it’s currently using for the desktop graphics chips, namely the GeForce GTX 1080, GTX 1070, and GTX 1060. Given that previously leaked specs show no huge differences between mobile and desktop chips, dropping the “M” label comes as no surprise.

Recommended Videos

As a recap, here’s what the mobile version of the GTX 1070 supposedly looks like compared to the current desktop version:

GTX 1070 Desktop Mobile
GPU GP104-200 GP104
CUDA Cores 1,920 2,048
GPU Clocks 1,506MHz, 1,683MHz 1,443MHz, 1,645MHz
Memory Clocks 2,002MHz, 8,008MHz 2,002MHz, 8,008MHz
Memory Type 8GB GDDR5 8GDDR5
Memory Bus 256-bit 256-bit

And here are the leaked specs for the GTX 1060 mobile model compared to its desktop counterpart:

GTX 1060 Desktop Mobile
GPU GP106-400 GP106
CUDA Cores 1,280 1,280
GPU Clocks 1,506MHz, 1,709MHz 1,405MHz, 1,671MHz
Memory Clocks 2,002MHz, 8,008MHz 2,002MHz, 8,008MHz
Memory Type 6GB GDDR5 6GB GDDR5
Memory Bus 192-bit 192-bit

So why choose Gamescom to reveal the new mobile GPUs? According to the report, Europe is a big player in the PC gaming sector, with its player population rapidly increasing as of late. Because of this growing hunger for high-performance PC gaming hardware, OEMs have not only expanded their European reach, but are sponsoring eSports events in that region as well.

Typically, Nvidia’s discrete mobile GPUs provide lower performance than their desktop counterparts. That’s because the mobile chips must draw less power since laptops depend on a battery when not plugged into an electrical outlet. That low power dependency limits the clock speeds and keeps the chips cool in a tightly closed environment.

However, what’s interesting here is that Nvidia finally managed to cram desktop performance into a mobile chip. If you compare the desktop and mobile GTX 1060 chips, they’re nearly identical save for the base clock speed. The mobile version of the GTX 1070 supposedly has slightly more CUDA cores than its desktop counterpart, but the clock speeds between the two aren’t too far apart.

Remember, this isn’t the first desktop-class chip Nvidia managed to cram into a notebook. Its first attempt was the discrete Maxwell-based GTX 980 for notebooks released ten months ago, which provides around a 35-percent performance boost over the GTX 980M. That desktop-class chip includes 2,048 CUDA cores, 128 texture units, 64 raster devices, a clock speed of 1,218MHz, and a thermal envelope of around 150 watts.

That all said, with Nvidia launching discrete GPUs for notebooks without the “M” label, Nvidia is expected to lower the prices of its current mobile GPUs, namely the 960M, the 970M, and the 980M, for gaming notebooks. This could actually help the lower-end gaming notebook market while OEMs churn out newer, high-performance and high-dollar solutions within the next month or so based on the GTX 1000 series.

Looking at the calendar, Gamescom really isn’t all that far away, and with recent leaks regarding Nvidia’s new mobile chip lineup really churning the rumor mill within the last month or so, all signs seem to point to the coming gaming convention at Cologne, Germany. As you can see right here, Nvidia will indeed be present at the show.

Kevin Parrish
Kevin started taking PCs apart in the 90s when Quake was on the way and his PC lacked the required components. Since then…
What’s the Right Laptop for a Student on a $1,000 Budget?
The best college laptop isn't the one with the longest spec sheet. It's the one that fits your budget and the way you'll actually use it.
Dell XPS 14 Review: Sticker

This post is brought to you in paid partnership with Dell

Buying a laptop for college isn't a decision made in isolation. Tuition, textbooks, housing, meal plans, transportation, and course materials all compete for the same budget, leaving most families with one question before the semester begins: how much is enough to spend on a laptop without paying for features that may never get used?

Read more
Siri is about to hear everything you say, but Apple’s privacy approach has me cautiously on board
Apple's new Audio Intelligence features want to hear almost everything you say. A privacy document released alongside them explains why I am mostly okay with that.
Apple Watch Audio Intelligence features

Apple used its September 2026 launch event to enter a feature category it has mostly avoided until now: ambient listening. Siri Recap, Live Rewind, Music Recognition with Shazam, and Sound Recognition all landed on the Apple Watch Series 12 and Apple Watch Ultra 4. All four depend on the watch microphone picking up sound around you far more often than any previous Apple product has.

Siri Recap listens for conversations throughout your day and turns them into short AI summaries you can check later. Live Rewind is smaller in scope but arguably more useful day-to-day. It transcribes the last 15 seconds of whatever was just said with a double-press of the crown. This is perfect for catching a name, a book title, or directions you missed the first time. Music Recognition uses Shazam to identify songs playing nearby without you lifting a finger, much like Now Playing on Google's Pixel devices. Sound Recognition is a useful accessibility feature that listens for sirens, doorbells, and alarms to alert users who have a hearing impairment.

Read more
Can You Turn a Mini PC Into a Local AI Agent?
Furniture, Table, Computer

This post is brought to you in paid partnership with MSI

Not every AI task needs the scale of the cloud. An employee searching company documents, a retail kiosk answering product questions, or a digital sign reacting to customer behavior all need fast responses, but they don't necessarily need to send every prompt to a remote data center. Running those workloads locally reduces latency, keeps sensitive information closer to where it's generated, and can lower the ongoing cost of AI deployments. As a result, many organizations are moving toward hybrid AI architectures that handle routine requests on-device while reserving cloud models for tasks that genuinely need more processing power.

Read more