Article Image

Nvidia spills the beans on its newly released mobile GTX 10 series

Nvidia's newest generation of graphics chips are ready to make their debut in gaming laptops, and along with stunning performance, all three support VR and the full Pascal feature set.

Nvidia’s latest generation of GPUs, based on the smaller Pascal architecture, whipped the PC gaming community into a frenzy. The top-end GTX 1080 brought 4K gaming to single-card setups, while the GTX 1070 and 1060 filled the midrange gaming tier with newly 1440p- and VR-capable systems.

But a whole group of gamers, bound by the constraints of an on-the-go lifestyle, were anxiously waiting for the technology to make its way into laptops. Now that wait is over. Nvidia has officially launched the new mobile 10 series line, this time without the M designation holding it back.

Nvidia’s latest mobile cards are based on the same Pascal architecture as the desktop versions. That means a 16nm FinFET process with 3D transistors, which has allowed for massive energy efficiency gains over the previous generation. When it comes to capabilities, all three cards represent the 10 series’ new additions quite well. They all support new features like the Ansel in-game photography engine, while also working with existing features like G-Sync and PhysX.

Like their desktop counterparts, all three chips also sport more granular overclocking controls via GPU Boost 3.0. That’s unusual for mobile cards, which are typically locked into a specific power setting in order to protect power usage and thermal limits. All three cards are also VR ready, which is going to make powering an HMD at a friend’s house way easier.

Like the AIB partners for the desktop chips, laptop manufacturers have more control over the chips that end up in each system. In particular, the party that installs the chip often sets everything from its memory to its power envelope and clock speeds. As such, the numbers below represent the base specifications for each GPU, rather than their practical implementation.

It appears there’s been another shift in an attempt to quell model number inflation. The mobile GTX 1080 is likely to end up filling the GTX 980’s role in a lot of heavier gaming laptops, while the GTX 1070 will replace the GTX 980M in smaller, but still powerful mobile solutions.

There’s another interesting trend with these cards that’s not immediately obvious from the table. They all have more CUDA cores available than their desktop counterparts, but with a lower base and boost clock speed.

Perhaps more so than any previous generation, we’re seeing Nvidia investing in its mobile GPUs. It’s not hard to see why. True 4K gaming might seem like a big deal, but the efficiency gains from moving to a smaller process are the real star of the show. Those improvements are going to make the most difference in portable systems that can game without crippling battery life.

That’s not to say the increased performance isn’t awesome. We were able to spend some hands-on time with the Asus G752 with a mobile GTX 1070 inside, and performance was comparable with the desktop GTX 980 Ti. That was the previous market leader in terms of performance (without reaching the insane Titan X prices), so similar performance in a portable form factor is a big deal, to say the least.

All three chips are in OEM hands now, so it’s only a matter of time before systems with the cards inside start shipping. We have the aforementioned Asus in our office and will be spending time with it over the next week to decide whether it’s worth the wait.

After five years with Apple silicon, from the original M1 MacBook Air to the M5 MacBook Air released earlier this year, I've watched these chips mature not just on the spec sheet, but in real-world workflows and overall efficiency.

The new M6 chip might sound like a routine generational upgrade, but it's the company's first chip built on a 2nm manufacturing process, which brings meaningful improvements over previous Apple chips.

Gemini Notebook’s mobile app now has a built-in recorder for capturing lectures and meetings as sources. You can record directly where you’ll use the material, skipping the separate recording app and the file upload afterward.

Google announced the feature on X, highlighting classroom lectures and team meetings as potential uses. It also works for capturing your own thoughts, so you can talk through an idea and bring that explanation into your notebook while it’s still fresh.

In 1950, Alan Turing asked whether machines can think. Rather than argue over definitions, he turned the question into a party game, where an interrogator trades typed messages with hidden players and tries to work out who is who. Since then, chatbots have gotten so good that they have already fooled humans in modern versions of the test.

So, four researchers from Paris Cité University asked the obvious follow-up question in a new study published in Computers in Human Behavior Reports: can AI at least catch its own kind?