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I Love GeForce Now on My Steam Deck — Until It Starts ‘Waiting for the Next Available Rig’

It was the first time I’d encountered it in the past week, but 20 to 45 minutes seems like an eternity when you have a console in your hands and are ready to play.

I started chair dancing when Nvidia told me about its GeForce Now cloud-gaming app for the Steam Deck. My Deck OLED is my most frequently used nonessential device, so I was stoked that GFN provided a way to play Xbox Game Pass Ultimate games on it. And it was great, even on my pretty uneven Wi-Fi connection, until it started tossing me into queues with up to 40 people ahead of me. And that was on Ultimate, the priciest tier with the shortest wait times and longest sessions. 

It was a blip in my otherwise great experience during the past week — relatively glitch-free, low-latency gameplay, including when attached to a monitor with a hub for keyboard and mouse — and it cleared up later in the day, but it was a frustrating blip nonetheless. (I contacted Nvidia, but the company didn’t have an explanation like «East Coast servers down for maintenance!» at the ready.) It’s something people on the Premium and free plans might experience, though, so it merits discussion.

And yet, it’s still less glitchy and frustrating than Xbox Cloud Gaming. Sigh.

To me, the Game Pass support is the most important feature because a lot of Xbox Cloud gameplay is really erratic for me on my mobile devices. To Nvidia, battery life is most important, I suspect partly because it’s critical and quantifiable. 

And yes, the Deck can last much longer — I’d say I get a couple more hours out of it — because it takes a lot less power to run the game in the cloud and stream to you than it does to run locally, which requires a lot more processing to run and render the games. That said, I also tested the app on the Lenovo Go S SteamOS model (which I’m working on a review of and otherwise really like), and that, thus far, seems to have poorer battery life than the Deck, so it may become an important factor for me as well.

In general, even weighty games such as Doom: The Dark Ages and Clair Obscur Expedition 33 (the first from Game Pass, the second Steam) played zippily (60-plus fps) on a monitor at Epic/Ultra/whatever quality presets, although I didn’t get a chance to test HDR. Platformers like Have a Nice Death (Steam) seemed equally responsive and relatively latency-free compared with running locally.  

The app provides extensive, or more compact, statistics if you want, but even shrunk down, they take up a relatively large amount of (sometimes critical) real estate on the Deck’s small screen. On the flip side, the icon indicating a Wi-Fi bandwidth issue is tiny and easy to miss. While GFN occasionally gave me network warnings, which I’m used to, it never seemed to result in more than the occasional stutter. 

I do find that after about an hour in most games — especially my current addiction, The Blue Prince (see above re: Game Pass) — my connection gets wonky enough that some games become bogged down until they become pretty unresponsive and unplayable. GFN seems to provide the most consistency, although I did get dizzy once from buffered camera rotations racing around the screen to catch up with my stick movement.

I have a few nitpicks about the implementation that aren’t really Nvidia’s fault. Installation requires switching to desktop mode, which I always forget to customize, so I can actually hit what I want in the touch interface. I have to look up how to switch every time. Installing only happens once, though, so it’s not really a big deal.

More long-term annoying is the app’s relegation to the Non-Steam Games section of your library, combined with the absence of any content on its screen. GFN also has its own overlay and doesn’t provide any statistics, such as how many hours you played a given game for, in its interface, even aggregated for GeForce Now use. All the info is in there, but not always where you expect or want it. As a whole, these make the GFN experience feel disconnected.

Note that for free or even Premium plans, your mileage may vary because they run on lower-end GPUs rather than the GeForce RTX 4080-class versions. And you’re still restricted to games GFN supports, which is a fraction of the games universe. But it’s still a great way to play games on the Deck, especially non-Steam games, if you have one.

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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Technologies

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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Technologies

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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