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Nvidia GeForce RTX 4070 Ti, 40-Series Mobile GPUs and Everything Else It Announced at CES

Your next laptop may have these components. And you’ll probably want them if you create stuff or play games.

Nvidia delivered the first of the notable CES livestreamed announcements Tuesday — a day ahead of the primary marathon day of launches — with expected news about its GeForce 40-series mobile GPUs and the long-rumored RTX 4070 Ti desktop GPU. One notable surprise was the new GeForce Now Ultimate tier, which AT&T has already staked out for a six-months-free promotion. The company also gave some updates on its commercial tools for robotics, collaborative design and cars.

RTX 40-series mobile graphics

Nvidia launched a complete line of mobile GPUs, from the RTX 4050 (for barely-there cheap discrete graphics) to the RTX 4060 and 4070 (for mainstream or thin-and-light gaming and graphics laptops) up through the top-end RTX 4080 and 4090.

Thanks to the Ada Lovelace architecture, the new mobile chips are a lot more power efficient, which means a new generation of Nvidia’s Max-Q power-management technology: It incorporates ultra-low voltage DLSS 3, «tri-speed memory control» to drop to lower power memory states on the fly and more. My experience with the 4080 and 4090 showed quite an improvement in DLSS over the last gen. And finally gaining traction is the adoption of Advanced Optimus, Nvidia’s design for allowing the GPU to live on the same bus as the CPU, which lets you use G-Sync on the built-in display and switch to the integrated graphics for lower power use without a system reboot. (Every time the phrase «MUX Switch» is used, my soul dies a little more.)

It highlighted nongaming 14-inch laptops, such as the Lenovo Yoga Pro 14 and Asus ZenBook Pro 14 with RTX 4070, 4060 or 4050 mobile chips, shipping in late February starting at $999. Gaming laptops like the Alienware x16 with an RTX 4080 or RTX 4090 ship in early February, starting at $2,000.

Desktop GeForce RTX 4070 Ti

Nvidia first announced the 12GB card as a low-end RTX 4080, but people pointed out that its specs really didn’t match those expected of an xx80-class GPU, causing Nvidia to «unlaunch» the card. It’s subsequently been reborn as the RTX 4070 Ti, which starts shipping on Jan. 5, starting at $800.

What seems particularly interesting is that despite Nvidia’s generic renderings of the card, there doesn’t seem to be an Nvidia-branded Founders Edition version, which there usually is for this level of GPU. That means there’s no guarantee that there will be an actual card available at that entry-level price; we could always count on an Nvidia Founders Edition to be the one model that hewed to the announcement price. Even if it had a tendency to go out of stock and stayed that way.

Stay tuned for my review!

GeForce Now Ultimate

Nvidia has also upgraded its back-end cloud servers for its cloud-gaming service with RTX 4080-class GPUs from the RTX 3080-class models, which means its top-tier option for its cloud-gaming service gets an upgrade as well. By going with «Ultimate,» Nvidia doesn’t have to rebrand every time it upgrades, as it does from the previous «RTX 3080» membership.

For the same $20 per month, you get the same perks but the better performance afforded by the card. That can translate to effectively 240 frames per second up from 120fps (the details are unclear). Current RTX 3080 subscribers will automatically transition to the new plan when it becomes available. As usual, it will roll out incrementally across different regions.

You may also get GeForce Now as part of your car’s entertainment system if it uses Nvidia Drive technology. Now all you need is a way to create routes based on the quality of your cell signal to prevent interruptions.

Creator tools

Two notable software tools that run on RTX GPUs join the family. Nvidia Broadcast will get a beta Eye Contact effect — faking eye contact for videoconferences and presentations is the New Big Thing that I don’t like (Windows has it as well). I’ve never seen an implementation that’s not disturbing, and I think at least one of the presenters in the stream was using it because of the unblinking thousand-yard stare that didn’t so much look at you as through you. Maybe that’s just me, though.

The other potentially big feature is RTX Video Super Resolution, designed to improve video streaming on Chrome and Edge. It uses AI upscaling and artifact reduction to improve the look of 1080p video on higher-resolution screens. That will run on RTX 30- and 40-series GPUs.

And Nvidia’s Canvas generative-AI sketch tool, which can work on any RTX GPU, will go into beta this quarter.

Nvidia also provided some updates on its robotics and automotive development technologies. They include new features in its Isaac Sim environment, such as the ability to model multiple humans and arrays of robots (for AI training) and more. CES isn’t a big show for these back-end technologies — that’s more the purview of Nvidia’s designer- and developer-focused GTC and GDC conferences — so most of the news was about partnerships and updates on capabilities entering early access. If that’s what floats your boat, you can get all the details on Nvidia’s site rather than have me de-weed them for you.

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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