NVIDIA

Big AI firms pump money into world models as LLM advances slow

AI, Google, Meta, NVIDIA, openai, superintelligence, syndication, world models / Mike M. / September 29, 2025

Runway, a video generation start-up that has deals with Hollywood studios, including Lionsgate, launched a product last month that uses world models to create gaming settings, with personalized stories and characters generated in real time.

“Traditional video methods [are a] brute-force approach to pixel generation, where you’re trying to squeeze motion in a couple of frames to create the illusion of movement, but the model actually doesn’t really know or reason about what’s going on in that scene,” said Cristóbal Valenzuela, chief executive officer at Runway.

Previous video-generation models had physics that were unlike the real world, he added, which general-purpose world model systems help to address.

To build these models, companies need to collect a huge amount of physical data about the world.

San Francisco-based Niantic has mapped 10 million locations, gathering information through games including Pokémon Go, which has 30 million monthly players interacting with a global map.

Niantic ran Pokémon Go for nine years and, even after the game was sold to US-based Scopely in June, its players still contribute anonymized data through scans of public landmarks to help build its world model.

“We have a running start at the problem,” said John Hanke, chief executive of Niantic Spatial, as the company is now called following the Scopely deal.

Both Niantic and Nvidia are working on filling gaps by getting their world models to generate or predict environments. Nvidia’s Omniverse platform creates and runs such simulations, assisting the $4.3 trillion tech giant’s push toward robotics and building on its long history of simulating real-world environments in video games.

Nvidia Chief Executive Jensen Huang has asserted that the next major growth phase for the company will come with “physical AI,” with the new models revolutionizing the field of robotics.

Some such as Meta’s LeCun have said this vision of a new generation of AI systems powering machines with human-level intelligence could take 10 years to achieve.

But the potential scope of the cutting-edge technology is extensive, according to AI experts. World models “open up the opportunity to service all of these other industries and amplify the same thing that computers did for knowledge work,” said Nvidia’s Lebaredian.

Additional reporting by Melissa Heikkilä in London and Michael Acton in San Francisco.

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Why does OpenAI need six giant data centers?

AI, AI chips, AI development tools, AI infrastructure, Biz & IT, chatgpt, Clay Magouyrk, CoreWeave, datacenters, machine learning, Masayoshi Son, NVIDIA, openai, oracle, sam altman, SB Energy, SoftBank / 9u50fv / September 24, 2025

Training next-generation AI models compounds the problem. On top of running existing AI models like those that power ChatGPT, OpenAI is constantly working on new technology in the background. It’s a process that requires thousands of specialized chips running continuously for months.

The circular investment question

The financial structure of these deals between OpenAI, Oracle, and Nvidia has drawn scrutiny from industry observers. Earlier this week, Nvidia announced it would invest up to $100 billion as OpenAI deploys Nvidia systems. As Bryn Talkington of Requisite Capital Management told CNBC: “Nvidia invests $100 billion in OpenAI, which then OpenAI turns back and gives it back to Nvidia.”

Oracle’s arrangement follows a similar pattern, with a reported $30 billion-per-year deal where Oracle builds facilities that OpenAI pays to use. This circular flow, which involves infrastructure providers investing in AI companies that become their biggest customers, has raised eyebrows about whether these represent genuine economic investments or elaborate accounting maneuvers.

The arrangements are becoming even more convoluted. The Information reported this week that Nvidia is discussing leasing its chips to OpenAI rather than selling them outright. Under this structure, Nvidia would create a separate entity to purchase its own GPUs, then lease them to OpenAI, which adds yet another layer of circular financial engineering to this complicated relationship.

“NVIDIA seeds companies and gives them the guaranteed contracts necessary to raise debt to buy GPUs from NVIDIA, even though these companies are horribly unprofitable and will eventually die from a lack of any real demand,” wrote tech critic Ed Zitron on Bluesky last week about the unusual flow of AI infrastructure investments. Zitron was referring to companies like CoreWeave and Lambda Labs, which have raised billions in debt to buy Nvidia GPUs based partly on contracts from Nvidia itself. It’s a pattern that mirrors OpenAI’s arrangements with Oracle and Nvidia.

So what happens if the bubble pops? Even Altman himself warned last month that “someone will lose a phenomenal amount of money” in what he called an AI bubble. If AI demand fails to meet these astronomical projections, the massive data centers built on physical soil won’t simply vanish. When the dot-com bubble burst in 2001, fiber optic cable laid during the boom years eventually found use as Internet demand caught up. Similarly, these facilities could potentially pivot to cloud services, scientific computing, or other workloads, but at what might be massive losses for investors who paid AI-boom prices.

Why does OpenAI need six giant data centers? Read More »

If you own a Volvo EX90, you’re getting a free computer upgrade

Cars, NVIDIA, Volvo EX90 / Shannon Garcia / September 19, 2025

If you own a 2025 Volvo EX90, here’s some good news: You’re getting a car computer upgrade. Even better news? It’s free.

The Swedish automaker says that owners of model year 2025 EX90s—like the one we tested earlier this summer—are eligible for an upgrade to the electric vehicle’s core computer. Specifically, the cars will get a new dual Nvidia DRIVE AGX Orin setup, which Volvo says will improve performance and reduce battery drainage, as well as enabling some features that have been TBD so far.

That will presumably be welcome news—the EX90 is a shining example of how the “minimal viable product” idea has infiltrated the auto industry from the tech sphere. That’s because Volvo has had a heck of a time with the EX90 development, having to delay the EV not once but twice in order to get a handle on the car’s software.

When we got our first drive in the electric SUV this time last year, that London Taxi-like hump on the roof contained a functional lidar that wasn’t actually integrated into the car’s advanced driver-assistance systems. In fact, a whole load of features weren’t ready yet, not just ADAS features.

The EX90 was specced with a single Orin chip, together with a less-powerful Xavier chip, also from Nvidia. But that combo isn’t up to the job, and for the ES90 electric sedan, the automaker went with a pair of Orins. And that’s what it’s going to retrofit to existing MY25 EX90s, gratis.

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Nvidia will invest $5 billion in Intel, co-develop new server and PC chips

gaming, intel, NVIDIA, Tech / 9u50fv / September 18, 2025

Intel once considered buying Nvidia outright, but its fortunes have shifted.

In a major collaboration that would have been hard to imagine just a few years ago, Nvidia announced today that it was buying a total of $5 billion in Intel stock, giving Intel’s competitor ownership of roughly 4 percent of the company. In addition to the investment, the two companies said that they would be co-developing “multiple generations of custom data center and PC products.”

“The companies will focus on seamlessly connecting NVIDIA and Intel architectures using NVIDIA NVLink,” reads Nvidia’s press release, “integrating the strengths of NVIDIA’s AI and accelerated computing with Intel’s leading CPU technologies and x86 ecosystem to deliver cutting-edge solutions for customers.”

Rather than combining the two companies’ technologies, the data center chips will apparently be custom x86 chips that Intel builds to Nvidia’s specifications. Nvidia will “integrate [the CPUs] into its AI infrastructure platforms and offer [them] to the market.”

On the consumer side, Intel plans to build x86 SoCs that integrate both Intel CPUs and Nvidia RTX GPU chiplets—Intel’s current products use graphics chiplets based on its own Arc products. More tightly integrated chips could make for smaller gaming laptops, and could give Nvidia a way to get into handheld gaming PCs like the Steam Deck or ROG Xbox Ally.

It takes a while to design, test, and mass-produce new processor designs, so it will likely be a couple of years before we see any of the fruits of this collaboration. But even the announcement highlights just how far the balance of power between the two companies has shifted in the last few years.

A dramatic reversal

Back in 2005, Intel considered buying Nvidia outright for “as much as $20 billion,” according to The New York Times. At the time, Nvidia was known almost exclusively for its GeForce consumer graphics chips, and Intel was nearing the launch of its Core and Core 2 chips, which would manage to win Apple’s business and set it up for a decade of near-total dominance in consumer PCs and servers.

But in recent years, Nvidia’s income and market capitalization have soared on the strength of its data center chips, which have powered most of the AI features that tech companies have been racing to build into their products for years now. And Intel’s recent struggles are well-documented—it has struggled for years now to improve its chip manufacturing capabilities at the same pace as competitors like TSMC, and a yearslong effort to convince other chip designers to use Intel’s factories to build their chips has yielded one ousted CEO and not much else.

The two companies’ announcement comes one day after China banned the sale of Nvidia’s AI chips, including products that Nvidia had designed specifically for China to get around US-imposed performance-based export controls. China is pushing domestic chipmakers like Huawei and Cambricon to put out their own AI accelerators to compete with Nvidia’s.

Correlation isn’t causation, and it’s unlikely that Intel and Nvidia could have thrown together a $5 billion deal and product collaboration in the space of less than 24 hours. But Nvidia could be looking to prop up US-based chip manufacturing as a counterweight to China’s actions.

There are domestic political considerations for Nvidia, too. The Trump administration announced plans to take a 10 percent stake in Intel last month, and Nvidia CEO Jensen Huang has worked to curry favor with the Trump administration by making appearances at $1 million-per-plate dinners at Trump’s Mar-a-Lago golf course and promising to invest billions in US-based data centers.

Although the US government’s investment in Intel hasn’t gotten it seats on the company’s board, the investment comes with possible significant downsides for Intel, including disruptions to the company’s business outside the US and limiting its eligibility for future government grants. Trump and his administration could also decide to alter the deal for any or no reason—Trump was calling for Tan’s resignation for alleged Chinese Communist Party ties just days before deciding to invest in the company instead. Investing in a sometime-competitor may be a small price for Nvidia and Huang to pay if it means avoiding the administration’s ire.

Outstanding questions abound

Combining Intel CPUs and Nvidia GPUs makes a lot of sense, for certain kinds of products—the two companies’ chips already coexist in millions of gaming desktops and laptops. Being able to make custom SoCs that combine Intel’s and Nvidia’s technology could make for smaller and more power-efficient gaming PCs. It could also provide a counterbalance to AMD, whose willingness to build semi-custom x86-based SoCs has earned the company most of the emerging market for Steam Deck-esque handheld gaming PCs, plus multiple generations of PlayStation and Xbox console hardware.

But there are more than a few places where Intel’s and Nvidia’s products compete, and at this early date, it’s unclear what will happen to the areas of overlap.

Future Intel CPUs could use an Nvidia-designed graphics chiplet instead of one of Intel’s GPUs. Credit: Intel

For example, Intel has been developing its own graphics products for decades—historically, these have mostly been lower-performance integrated GPUs whose only job is to connect to a couple of monitors and encode and decode video, but more recent Arc-branded dedicated graphics cards and integrated GPUs have been more of a direct challenge to some of Nvidia’s lower-end products.

Intel told Ars that the company “will continue to have GPU product offerings,” which means that it will likely continue developing Arc and its underlying Intel Xe GPU architecture. But that could mean that Intel will focus on low-end, low-power GPUs and leave higher-end products to Nvidia. Intel has been happy to discard money-losing side projects in recent years, and dedicated Arc GPUs have struggled to make much of a dent in the GPU market.

On the software side, Intel has been pushing its own oneAPI graphics compute stack as an alternative to Nvidia’s CUDA and AMD’s ROCm, and has provided code to help migrate CUDA projects to oneAPI. And there’s a whole range of plausible outcomes here: Nvidia allowing Intel GPUs to run CUDA code, either directly or through some kind of translation layer; Nvidia contributing to oneAPI, which is an open source platform; or oneAPI fading away entirely.

On Nvidia’s side, we’ve already mentioned that the company offers some Arm-based CPUs—these are available in the Project DIGITS AI computer, Nvidia’s automotive products, or the Nintendo Switch and Switch 2. But rumors have indicated for some time now that Nvidia is working with MediaTek to create Arm-based chips for Windows PCs, which would compete not just with Intel and AMD’s x86 chips but also Qualcomm’s Snapdragon X-series processors. Will Nvidia continue to push forward on this project, or will it leave this as-yet-unannounced chip unannounced, to shore up its new investment in the x86 instruction set?

Finally, there’s the question of where these chips will be built. Nvidia’s current chips are manufactured mostly at TSMC, though it has used Samsung’s factories as recently as the RTX 3000 series. Intel also uses TSMC to build some chips, including its current top-end laptop and desktop processors, but it uses its own factories to build its server chips, and plans to bring its next-generation consumer chips back in-house.

Will Nvidia start to manufacture some of its chips on Intel’s 18A manufacturing process, or another process on Intel’s roadmap? Will the combined Intel and Nvidia chips be manufactured by Intel, or will they be built externally at TSMC, or using some combination of the two? (Nvidia has already said that Intel’s SoCs will integrate Nvidia GPU chiplets, so it’s likely that Intel will continue using its Foveros packaging technology to combine multiple bits of silicon into a single chip.)

A vote of confidence from Nvidia would be a big shot in the arm for Intel’s foundry, which has reportedly struggled to find major customers—but it’s hard to see Nvidia doing it if Intel’s manufacturing processes can’t compete with TSMC’s on performance or power consumption, or if Intel can’t manufacture chips in the volumes that Nvidia would need.

We’ve posed all of these questions to both Intel and Nvidia. This early, it’s unlikely that either company wants to commit to any plans other than the broad, vague collaborations that were part of this morning’s announcement. But we’ll update this article if we can shake any other details loose. Both Nvidia and Intel CEOs Huang and Tan will also be giving a joint press conference at 1 pm ET today, where they may discuss the answers to these and other questions.

Andrew is a Senior Technology Reporter at Ars Technica, with a focus on consumer tech including computer hardware and in-depth reviews of operating systems like Windows and macOS. Andrew lives in Philadelphia and co-hosts a weekly book podcast called Overdue.

Nvidia will invest $5 billion in Intel, co-develop new server and PC chips Read More »

China blocks sale of Nvidia AI chips

AI, china, NVIDIA, Policy, syndication, trump tariffs / Mike M. / September 17, 2025

“The message is now loud and clear,” said an executive at one of the tech companies. “Earlier, people had hopes of renewed Nvidia supply if the geopolitical situation improves. Now it’s all hands on deck to build the domestic system.”

Nvidia started producing chips tailored for the Chinese market after former US President Joe Biden banned the company from exporting its most powerful products to China, in an effort to rein in Beijing’s progress on AI.

Beijing’s regulators have recently summoned domestic chipmakers such as Huawei and Cambricon, as well as Alibaba and search engine giant Baidu, which also make their own semiconductors, to report how their products compare against Nvidia’s China chips, according to one of the people with knowledge of the matter.

They concluded that China’s AI processors had reached a level comparable to or exceeding that of the Nvidia products allowed under export controls, the person added.

The Financial Times reported last month that China’s chipmakers were seeking to triple the country’s total output of AI processors next year.

“The top-level consensus now is there’s going to be enough domestic supply to meet demand without having to buy Nvidia chips,” said an industry insider.

Nvidia introduced the RTX Pro 6000D in July during Huang’s visit to Beijing, when the US company also said Washington was easing its previous ban on the H20 chip.

China’s regulators, including the CAC, have warned tech companies against buying Nvidia’s H20, asking them to justify having purchased them over domestic products, the FT reported last month.

The RTX Pro 6000D, which the company has said could be used in automated manufacturing, was the last product Nvidia was allowed to sell in China in significant volumes.

Alibaba, ByteDance, the CAC, and Nvidia did not immediately respond to requests for comment.

Additional reporting by Eleanor Olcott in Zhengzhou.

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China rules that Nvidia violated its antitrust laws

antitrust, china, NVIDIA, Policy, syndication, tarrifs, trade wars / Mike M. / September 15, 2025

A Chinese regulator has found Nvidia violated the country’s antitrust law, in a preliminary finding against the world’s most valuable chipmaker.

Nvidia had failed to fully comply with provisions outlined when it acquired Mellanox Technologies, an Israeli-US supplier of networking products, China’s State Administration for Market Regulation (SAMR) said on Monday. Beijing conditionally approved the US chipmaker’s acquisition of Mellanox in 2020.

Monday’s statement came as US and Chinese officials prepared for more talks in Madrid over trade, with a tariff truce between the world’s two largest economies set to expire in November.

SAMR reached its conclusion weeks before Monday’s announcement, according to two people with knowledge of the matter, adding that the regulator had released the statement now to give China greater leverage in the trade talks.

The regulator started the anti-monopoly investigation in December, a week after the US unveiled tougher export controls on advanced high-bandwidth memory chips and chipmaking equipment to the country.

SAMR then spent months interviewing relevant parties and gathering legal opinions to build the case, the people said.

Nvidia bought Mellanox for $6.9 billion in 2020, and the acquisition helped the chipmaker to step up into the data center and high-performance computing market where it is now a dominant player.

The preliminary findings against the chipmaker could result in fines of between 1 percent and 10 percent of the company’s previous year’s sales. Regulators can also force the company to change business practices that are considered in violation of antitrust laws.

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OpenAI links up with Broadcom to produce its own AI chips

AI, AI chips, AI GPU, Broadcom, GPU, NVIDIA, openai, syndication / 9u50fv / September 5, 2025

OpenAI is set to produce its own artificial intelligence chip for the first time next year, as the ChatGPT maker attempts to address insatiable demand for computing power and reduce its reliance on chip giant Nvidia.

The chip, co-designed with US semiconductor giant Broadcom, would ship next year, according to multiple people familiar with the partnership.

Broadcom’s chief executive Hock Tan on Thursday referred to a mystery new customer committing to $10 billion in orders.

OpenAI’s move follows the strategy of tech giants such as Google, Amazon and Meta, which have designed their own specialised chips to run AI workloads. The industry has seen huge demand for the computing power to train and run AI models.

OpenAI planned to put the chip to use internally, according to one person close to the project, rather than make them available to external customers.

Last year it began an initial collaboration with Broadcom, according to reports at the time, but the timeline for mass production of a successful chip design had previously been unclear.

On a call with analysts, Tan announced that Broadcom had secured a fourth major customer for its custom AI chip business, as it reported earnings that topped Wall Street estimates.

Broadcom does not disclose the names of these customers, but people familiar with the matter confirmed OpenAI was the new client. Broadcom and OpenAI declined to comment.

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Framework Laptop 16 update brings Nvidia GeForce to the modular gaming laptop

AMD, framework, framework laptop, framework laptop 16, gaming, NVIDIA, Ryzen, Tech / DJ Henderson / August 26, 2025

It’s been a busy year for Framework, the company behind the now well-established series of repairable, upgradeable, modular laptops (and one paradoxically less-upgradeable desktop). The company has launched a version of the Framework Laptop 13 with Ryzen AI processors, the new Framework Laptop 12, and the aforementioned desktop in the last six months, and last week, Framework teased that it still had “something big coming.”

That “something big” turns out to be the first-ever update to the Framework Laptop 16, Framework’s more powerful gaming-laptop-slash-mobile-workstation. Framework is updating the laptop with Ryzen AI processors and new integrated Radeon GPUs and is introducing a new graphics module with the mobile version of Nvidia’s GeForce RTX 5070—one that’s also fully compatible with the original Laptop 16, for upgraders.

Preorders for the new laptop open today, and pricing starts at $1,499 for a DIY Edition without RAM, storage, an OS, or Expansion Cards, a $100 increase from the price of the first Framework Laptop 16. The first units will begin shipping in November.

While Framework has launched multiple updates for its original Laptop 13, this is the first time it has updated the hardware of one of its other computers. We wouldn’t expect the just-launched Framework Laptop 12 or Framework Desktop to get an internal overhaul any time soon, but the Laptop 16 will be pushing 2-years-old by the time this upgrade launches.

The old Ryzen 7 7840HS CPU version of the Laptop 16 will still be available going forward at a slightly reduced starting price of $1,299 (for the DIY edition, before RAM and storage). The Ryzen 9 7940HS model will stick around until it sells out, at which point Framework says it’s going away.

GPU details and G-Sync asterisks

The Laptop 16’s new graphics module and cooling system, also exploded. Credit: Framework

This RTX 5070 graphics module includes a redesigned heatsink and fan system, plus an additional built-in USB-C port that supports both display output and power input (potentially freeing up one of your Expansion Card slots for something else). Because of the additional power draw of the GPU and the other new components, Framework is switching to a 240 W default power supply for the new Framework Laptop 16, up from the previous 180 W power brick.

Framework Laptop 16 update brings Nvidia GeForce to the modular gaming laptop Read More »

Ars Technica System Guide: Five sample PC builds, from $500 to $5,000

AMD, Ars System Guide, Features, gaming, intel, NVIDIA, Tech / DJ Henderson / August 18, 2025

Despite everything, it’s still possible to build decent PCs for decent prices.

You can buy a great 4K gaming PC for less than it costs to buy a GeForce RTX 5090. Let us show you some examples. Credit: Andrew Cunningham

Sometimes I go longer than I intend without writing an updated version of our PC building guide. And while I could just claim to be too busy to spend hours on Newegg or Amazon or other sites digging through dozens of near-identical parts, the lack of updates usually correlates with “times when building a desktop PC is actually a pain in the ass.”

Through most of 2025, fluctuating and inflated graphics card pricing and limited availability have once again conspired to make a normally fun hobby an annoying slog—and honestly kind of a bad way to spend your money, relative to just buying a Steam Deck or something and ignoring your desktop for a while.

But three things have brought me back for another round. First, GPU pricing and availability have improved a little since early 2025. Second, as unreasonable as pricing is for PC parts, pre-built PCs with worse specs and other design compromises are unreasonably priced, too, and people should have some sense of what their options are. And third, I just have the itch—it’s been a while since I built (or helped someone else build) a PC, and I need to get it out of my system.

So here we are! Five different suggestions for builds for a few different budgets and needs, from basic browsing to 4K gaming. And yes, there is a ridiculous “God Box,” despite the fact that the baseline ridiculousness of PC building is higher than it was a few years ago.

Notes on component selection

Part of the fun of building a PC is making it look the way you want. We’ve selected cases that will physically fit the motherboards and other parts we’re recommending and which we think will be good stylistic fits for each system. But there are many cases out there, and our picks aren’t the only options available.

It’s also worth trying to build something that’s a little future-proof—one of the advantages of the PC as a platform is the ability to swap out individual components without needing to throw out the entire system. It’s worth spending a little extra money on something you know will be supported for a while. Right this minute, that gives an advantage to AMD’s socket AM5 ecosystem over slightly cheaper but fading or dead-end platforms like AMD’s socket AM4 and Intel’s LGA 1700 or (according to rumors) LGA 1851.

As for power supplies, we’re looking for 80 Plus certified power supplies from established brands with positive user reviews on retail sites (or positive professional reviews, though these can be somewhat hard to come by for any given PSU these days). If you have a preferred brand, by all means, go with what works for you. The same goes for RAM—we’ll recommend capacities and speeds, and we’ll link to kits from brands that have worked well for us in the past, but that doesn’t mean they’re better than the many other RAM kits with equivalent specs.

For SSDs, we mostly stick to drives from known brands like Samsung, Crucial, Western Digital, and SK hynix. Our builds also include built-in Bluetooth and Wi-Fi, so you don’t need to worry about running Ethernet wires and can easily connect to Bluetooth gamepads, keyboards, mice, headsets, and other accessories.

We also haven’t priced in peripherals like webcams, monitors, keyboards, or mice, as we’re assuming most people will reuse what they already have or buy those components separately. If you’re feeling adventurous, you could even make your own DIY keyboard! If you need more guidance, Kimber Streams’ Wirecutter keyboard guides are exhaustive and educational, and Wirecutter has some monitor-buying advice, too.

Finally, we won’t be including the cost of a Windows license in our cost estimates. You can pay many different prices for Windows—$139 for an official retail license from Microsoft, $120 for an “OEM” license for system builders, or anywhere between $15 and $40 for a product key from shady gray market product key resale sites. Windows 10 keys will also work to activate Windows 11, though Microsoft stopped letting old Windows 7 and Windows 8 keys activate new Windows 10 and 11 installs a couple of years ago. You could even install Linux, given recent advancements in game compatibility layers! But if you plan to go that route, know that AMD’s graphics cards tend to be better-supported than Nvidia’s.

The budget all-rounder

What it’s good for: Browsing, schoolwork or regular work, amateur photo or video editing, and very light casual gaming. A low-cost, low-complexity introduction to PC building.

What it sucks at: You’ll need to use low settings at best for modern games, and it’s hard to keep costs down without making big sacrifices.

Cost as of this writing: $479 to $504, depending on your case

The entry point for a basic desktop PC from Dell, HP, and Lenovo is somewhere between $400 and $500 as of this writing. You can beat that pricing with a self-built one if you cut your build to the bone, and you can find tons of cheap used and refurbished stuff and serviceable mini PCs for well under that price, too. But if you’re chasing the thrill of the build, we can definitely match the big OEMs’ pricing while doing better on specs and future-proofing.

The AMD Ryzen 5 8500G should give you all the processing power you need for everyday computing and less-demanding games, despite most of its CPU cores using the lower-performing Zen 4c variant of AMD’s last-gen CPU architecture. The Radeon 740M GPU should do a decent job with many games at lower settings; it’s not a gaming GPU, but it will handle kid-friendly games like Roblox or Minecraft or undemanding battle royale or MOBA games like Fortnite and DOTA 2.

The Gigabyte B650M Gaming Plus WiFi board includes Wi-Fi, Bluetooth, and extra RAM and storage slots for future expandability. Most companies that make AM5 motherboards are pretty good about releasing new BIOS updates that patch vulnerabilities and add support for new CPUs, so you shouldn’t have a problem popping in a new processor a few years down the road if this one is no longer meeting your needs.

An AMD Ryzen 7 8700G. The 8500G is a lower-end relative of this chip, with good-enough CPU and GPU performance for light work. Credit: Andrew Cunningham

This system is spec’d for general usage and exceptionally light gaming, and 16GB of RAM and a 500 GB SSD should be plenty for that kind of thing. You can get the 1TB version of the same SSD for just $20 more, though—not a bad deal if you think light gaming is in the cards. The 600 W power supply is overkill, but it’s just $5 more than the 500 W version of the same PSU, and 600 W is enough headroom to add a GeForce RTX 4060 or 5060-series card or a Radeon RX 9600 XT to the build later on without having to worry.

The biggest challenge when looking for a decent, cheap PC case is finding one without a big, tacky acrylic window. Our standby choice for the last couple of years has been the Thermaltake Versa H17, an understated and reasonably well-reviewed option that doesn’t waste internal space on legacy features like external 3.5 and 5.25-inch drive bays or internal cages for spinning hard drives. But stock seems to be low as of this writing, suggesting it could be unavailable soon.

We looked for some alternatives that wouldn’t be a step down in quality or utility and which wouldn’t drive the system’s total price above $500. YouTubers and users generally seem to like the $70 Phanteks XT Pro, which is a lot bigger than this motherboard needs but is praised for its airflow and flexibility (it has a tempered glass side window in its cheapest configuration, and a solid “silent” variant will run you $88). The Fractal Design Focus 2 is available with both glass and solid side panels for $75.

The budget gaming PC

What it’s good for: Solid all-round performance, plus good 1080p (and sometimes 1440p) gaming performance.

What it sucks at: Future proofing, top-tier CPU performance.

Cost as of this writing: $793 to $828, depending on components

Budget gaming PCs are tough right now, but my broad advice would be the same as it’s always been: Go with the bare minimum everywhere you can so you have more money to spend on the GPU. I went into this totally unsure if I could recommend a PC I’d be happy with for the $700 to $800 we normally hit, and getting close to that number meant making some hard decisions.

I talked myself into a socket AM5 build for our non-gaming budget PC because of its future proof-ness and its decent integrated GPU, but I went with an Intel-based build for this one because we didn’t need the integrated GPU for it and because AMD still mostly uses old socket AM4 chips to cover the $150-and-below part of the market.

Given the choice between aging AMD CPUs and aging Intel CPUs, I have to give Intel the edge, thanks to the Core i5-13400F’s four E-cores. And if a 13th-gen Core chip lacks cutting-edge performance, it’s plenty fast for a midrange GPU. The $109 Core i5-12400F would also be OK and save a little more money, but we think the extra cores and small clock speed boost are worth the $20-ish premium.

For a budget build, we think your best strategy is to save money everywhere you can so you can squeeze a 16GB AMD Radeon RX 9060 XT into the budget. Credit: Andrew Cunningham

Going with a DDR4 motherboard and RAM saves us a tiny bit, and we’ve also stayed at 16GB of RAM instead of stepping up (some games, sometimes can benefit from 32GB, especially if you want to keep a bunch of other stuff running in the background, but it still usually won’t be a huge bottleneck). We upgraded to a 1TB SSD; huge AAA games will eat that up relatively quickly, but there is another M.2 slot you can use to put in another drive later. The power supply and case selections are the same as in our budget pick.

All of that cost-cutting was done in service of stretching the budget to include the 16GB version of AMD’s Radeon RX 9060 XT graphics card.

You could go with the 8GB version of the 9060 XT or Nvidia’s GeForce RTX 5060 and get solid 1080p gaming performance for almost $100 less. But we’re at a point where having 8GB of RAM in your graphics card can be a bottleneck, and that’s a problem that will only get worse over time. The 9060 XT has a consistent edge over the RTX 5060 in our testing, even in games with ray-tracing effects enabled, and at 1440p, the extra memory can easily be the difference between a game that runs and a game that doesn’t.

A more future-proofed budget gaming PC

What it’s good for: Good all-round performance with plenty of memory and storage, plus room for future upgrades.

What it sucks at: Getting you higher frame rates than our budget-budget build.

Cost as of this writing: $1,070 to $1,110, depending on components

As I found myself making cut after cut to maximize the fps-per-dollar we could get from our budget gaming PC, I decided I wanted to spec out a system with the same GPU but with other components that would make it better for non-gaming use and easier to upgrade in the future, with more generous allotments of memory and storage.

This build shifts back to many of the AMD AM5 components we used in our basic budget build, but with an 8-core Ryzen 7 7700X CPU at its heart. Its Zen 4 architecture isn’t the latest and greatest, but Zen 5 is a modest upgrade, and you’ll still get better single- and multi-core processor performance than you do with the Core i5 in our other build. It’s not worth spending more than $50 to step up to a Ryzen 7 9700X, and it’s overkill to spend $330 on a 12-core Ryzen 9 7900X or $380 on a Ryzen 7 7800X3D.

This chip doesn’t come with its own fan, so we’ve included an inexpensive air cooler we like that will give you plenty of thermal headroom.

A 32GB kit of RAM and 2TB of storage will give you ample room for games and enough RAM that you won’t have to worry about the small handful of outliers that benefit from more than 16GB of system RAM, while a marginally beefier power supply gives you a bit more headroom for future upgrades while still keeping costs relatively low.

This build won’t benefit your frame rates much since we’re sticking with the same 16GB RX 9060 XT. But the rest of it is specced generously enough that you could add a GeForce RTX 5070 (currently around $550) or a non-XT Radeon RX 9070 card (around $600) without needing to change any of the other components.

A comfortable 4K gaming rig

What it’s good for: Just about anything! But it’s built to play games at higher resolutions than our budget builds.

What it sucks at: Getting you top-of-the-line bragging rights.

Cost as of this writing: $1,829 to $1,934, depending on components.

Our budget builds cover 1080p-to-1440p gaming, and with an RTX 5070 or an RX 9070, they could realistically stretch to 4K in some games. But for more comfortable 4K gaming or super-high-frame-rate 1440p performance, you’ll thank yourself for spending a bit more.

You’ll note that the quality of the component selections here has been bumped up a bit all around. X670 or X870-series boards don’t just get you better I/O; they’ll also get you full PCI Express 5.0 support in the GPU slot and components better-suited to handling faster and more power-hungry components. We’ve swapped to a modular ATX 3.x-compliant power supply to simplify cable management and get a 12V-2×6 power connector. And we picked out a slightly higher-end SSD, too. But we’ve tried not to spend unnecessary money on things that won’t meaningfully improve performance—no 1,000+ watt power supplies, PCIe 5.0 SSDs, or 64GB RAM kits here.

A Ryzen 7 7800X3D might arguably be overkill for this build—especially at 4K, where the GPU will still be the main bottleneck—but it will be useful for getting higher frame rates at lower resolutions and just generally making sure performance stays consistent and smooth. Ryzen 7900X, 7950X, or 9900X chips are all good alternatives if you want more multi-core CPU performance—if you plan to stream as you play, for instance. A 9700X or even a 7700X would probably hold up fine if you won’t be doing that kind of thing and want to save a little.

You could cool any of these with a closed-loop AIO cooler, but a solid air cooler like the Thermalright model will keep it running cool for less money, and with a less-complicated install process.

A GeForce RTX 5070 Ti is the best 4K performance you can get for less than $1,000, but that doesn’t make it cheap. Credit: Andrew Cunningham

Based on current pricing and availability, I think the RTX 5070 Ti makes the most sense for a non-absurd 4K-capable build. Its prices are still elevated slightly above its advertised $749 MSRP, but it’s giving you RTX 4080/4080 Super-level performance for between $200 and $400 less than those cards launched for. Nvidia’s next step up, the RTX 5080, will run you at least $1,200 or $1,300—and usually more. AMD’s best option, the RX 9070 XT, is a respectable contender, and it’s probably the better choice if you plan on using Linux instead of Windows. But for a Windows-based gaming box, Nvidia still has an edge in games with ray-tracing effects enabled, plus DLSS upscaling and frame generation.

Is it silly that the GPU costs as much as our entire budget gaming PC? Of course! But it is what it is.

Even more than the budget-focused builds, the case here is a matter of personal preference, and $100 or $150 is enough to buy you any one of several dozen competent cases that will fit our chosen components. We’ve highlighted a few from case makers with good reputations to give you a place to start. Some of these also come in multiple colors, with different side panel options and both RGB and non-RGB options to suit your tastes.

If you like something a little more statement-y, the Fractal Design North ($155) and Lian Li Lancool 217 ($120) both include the wood accents that some case makers have been pushing lately. The Fractal Design case comes with both mesh and tempered glass side panel options, depending on how into RGB you are, while the Lancool case includes a whopping five case fans for keeping your system cool.

The “God Box”

What it’s good for: Anything and everything.

What it sucks at: Being affordable.

Cost as of this writing: $4,891 to $5,146

We’re avoiding Xeon and Threadripper territory here—frankly, I’ve never even tried to do a build centered on those chips and wouldn’t trust myself to make recommendations—but this system is as fast as consumer-grade hardware gets.

An Nvidia GeForce RTX 5090 guarantees the fastest GPU performance you can buy and continues the trend of “paying as much for a GPU as you could for an entire fully functional PC.” And while we have specced this build with a single GPU, the motherboard we’ve chosen has a second full-speed PCIe 5.0 x16 slot that you could use for a dual-GPU build.

A Ryzen 9950X3D chip gets you top-tier gaming performance and tons of CPU cores. We’re cooling this powerful chip with a 360 mm Arctic Liquid Freezer III Pro cooler, which has generally earned good reviews from Gamers Nexus and other outlets for its value, cooling performance, and quiet performance. A white option is also available if you’re going for a light-mode color scheme instead of our predominantly dark-mode build.

Other components have been pumped up similarly gratuitously. A 1,000 W power supply is the minimum for an RTX 5090, but to give us some headroom, why not use a 1,200 W model with lights on it? Is PCIe 5.0 storage strictly necessary for anything? No! But let’s grab a 4 TB PCIe 5.0 SSD anyway. And populating all four of our RAM slots with a 32GB stick of DDR5 avoids any unsightly blank spots inside our case.

We’ve selected a couple of largish case options to house our big builds, though as usual, there are tons of other options to fit all design sensibilities and tastes. Just make sure, if you’re selecting a big Extended ATX motherboard like the X870E Taichi, that your case will fit a board that’s slightly wider than a regular ATX or micro ATX board (the Taichi is 267 mm wide, which should be fine in either of our case selections).

Ars Technica System Guide: Five sample PC builds, from $500 to $5,000 Read More »

US may purchase stake in Intel after Trump attacked CEO

Chips Act, Donald trump. intel, Joe Biden, NVIDIA, Policy, semiconductors, us-china trade war / 9u50fv / August 15, 2025

Trump’s attacks on Intel CEO may stem from beef with Biden.

Lip-Bu Tan, chief executive officer of Intel Corp., departs following a meeting at the White House. President Donald Trump said Tan had an “amazing story” after the meeting.

Donald Trump has been meddling with Intel, which now apparently includes mulling “the possibility of the US government taking a financial stake in the troubled chip maker,” The Wall Street Journal reported.

Trump and Intel CEO Lip-Bu Tan weighed the option during a meeting on Monday at the White House, people familiar with the matter told WSJ. These talks have only just begun—with Intel branding them a rumor—and sources told the WSJ that Trump has yet to iron out how the potential arrangement might work.

The WSJ’s report comes after Trump called for Tan to “resign immediately” last week. Trump’s demand was seemingly spurred by a letter that Republican senator Tom Cotton sent to Intel, accusing Tan of having “concerning” ties to the Chinese Communist Party.

Cotton accused Tan of controlling “dozens of Chinese companies” and holding a stake in “hundreds of Chinese advanced-manufacturing and chip firms,” at least eight of which “reportedly have ties to the Chinese People’s Liberation Army.”

Further, before joining Intel, Tan was CEO of Cadence Design Systems, which recently “pleaded guilty to illegally selling its products to a Chinese military university and transferring its technology to an associated Chinese semiconductor company without obtaining license.”

“These illegal activities occurred under Mr. Tan’s tenure,” Cotton pointed out.

He demanded answers by August 15 from Intel on whether they weighed Tan’s alleged Cadence conflicts of interest against the company’s requirements to comply with US national security laws after accepting $8 billion in CHIPS Act funding—the largest granted during Joe Biden’s term. The senator also asked Intel if Tan was required to make any divestments to meet CHIPS Act obligations and if Tan has ever disclosed any ties to the Chinese government to the US government.

Neither Intel nor Cotton’s office responded to Ars’ request to comment on the letter or confirm whether Intel has responded.

But Tan has claimed that there is “a lot of misinformation” about his career and portfolio, the South China Morning Post reported. Born in Malaysia, Tan has been a US citizen for 40 years after finishing postgraduate studies in nuclear engineering at the Massachusetts Institute of Technology.

In an op-ed, SCMP reporter Alex Lo suggested that Tan’s investments—which include stakes in China’s largest sanctioned chipmaker, SMIC, as well as “several” companies on US trade blacklists, SCMP separately reported—seem no different than other US executives and firms with substantial investments in Chinese firms.

“Cotton accused [Tan] of having extensive investments in China,” Lo wrote. “Well, name me a Wall Street or Silicon Valley titan in the past quarter of a century who didn’t have investment or business in China. Elon Musk? Apple? BlackRock?”

He also noted that “numerous news reports” indicated that “Cadence staff in China hid the dodgy sales from the company’s compliance officers and bosses at the US headquarters,” which Intel may explain to Cotton if a response comes later today.

Any red flags that Intel’s response may raise seems likely to heighten Trump’s scrutiny, as he looks to make what Reuters reported was yet another “unprecedented intervention” by a president in a US firm’s business. Previously, Trump surprised the tech industry by threatening the first-ever tariffs aimed at a US company (Apple) and more recently, Trump struck an unusual deal with Nvidia and AMD that gives US a 15 percent cut of the firms’ revenue from China chip sales.

However, Trump was seemingly impressed by Tan after some face-time this week. Trump came out of their meeting professing that Tan has an “amazing story,” Bloomberg reported, noting that any agreement between Trump and Tan “would likely help Intel build out” its planned $28 billion chip complex in Ohio.

Those chip fabs—boosted by CHIPS Act funding—were supposed to put Intel on track to launch operations by 2030, but delays have set that back by five years, Bloomberg reported. That almost certainly scrambles another timeline that Biden’s Commerce Secretary Gina Raimondo had suggested would ensure that “20 percent of the world’s most advanced chips are made in the US by the end of the decade.”

Why Intel may be into Trump’s deal

At one point, Intel was the undisputed leader in chip manufacturing, Bloomberg noted, but its value plummeted from $288 billion in 2020 to $104 billion today. The chipmaker has been struggling for a while—falling behind as Nvidia grew to dominate the AI chip industry—and 2024 was its “first unprofitable year since 1986,” Reuters reported. As the dismal year wound down, Intel’s longtime CEO Pat Gelsinger retired.

Helming Intel for more than 40 years, Gelsinger acknowledged the “challenging year.” Now Tan is expected to turn it around. To do that, he may need to deprioritize the manufacturing process that Gelsinger pushed, which Tan suspects may have caused Intel being viewed as an outdated firm, anonymous insiders told Reuters. Sources suggest he’s planning to pivot Intel to focus more on “a next-generation chipmaking process where Intel expects to have advantages over Taiwan’s TSMC,” which currently dominates chip manufacturing and even counts Intel as a customer, Reuters reported. As it stands now, TSMC “produces about a third of Intel’s supply,” SCMP reported.

This pivot is supposedly how Tan expects Intel can eventually poach TSMC’s biggest customers like Apple and Nvidia, Reuters noted.

Intel has so far claimed that any discussions of Tan’s supposed plans amount to nothing but speculation. But if Tan did go that route, one source told Reuters that Intel would likely have to take a write-off that industry analysts estimate could trigger losses “of hundreds of millions, if not billions, of dollars.”

Perhaps facing that hurdle, Tan might be open to agreeing to the US purchasing a financial stake in the company while he rights the ship.

Trump/Intel deal reminiscent of TikTok deal

Any deal would certainly deepen the government’s involvement in the US chip industry, which is widely viewed as critical to US national security.

While unusual, the deal does seem somewhat reminiscent to the TikTok buyout that the Trump administration has been trying to iron out since he took office. Through that deal, the US would acquire enough ownership divested from China-linked entities to supposedly appease national security concerns, but China has been hesitant to sign off on any of Trump’s proposals so far.

Last month, Trump admitted that he wasn’t confident that he could sell China on the TikTok deal, which TikTok suggested would have resulted in a glitchier version of the app for American users. More recently, Trump’s commerce secretary threatened to shut down TikTok if China refuses to approve the current version of the deal.

Perhaps the terms of a US deal with Intel could require Tan to divest certain holdings that the US fears compromises the CEO. Under terms of the CHIPS Act grant, Intel is already required to be “a responsible steward of American taxpayer dollars and to comply with applicable security regulations,” Cotton reminded the company in his letter.

But social media users in Malaysia and Singapore have criticized Cotton of the “usual case of racism” in attacking Intel’s CEO, SCMP reported. They noted that Cotton “was the same person who repeatedly accused TikTok CEO Shou Zi Chew of ties with the Chinese Communist Party despite his insistence of being a Singaporean,” SCMP reported.

“Now it’s the Intel’s CEO’s turn on the chopping block for being [ethnic] Chinese,” a Facebook user, Michael Ong, said.

Tensions were so high that there was even a social media push for Tan to “call on Trump’s bluff and resign, saying ‘Intel is the next Nokia’ and that Chinese firms would gladly take him instead,” SCMP reported.

So far, Tan has not criticized the Trump administration for questioning his background, but he did issue a statement yesterday, seemingly appealing to Trump by emphasizing his US patriotism.

“I love this country and am profoundly grateful for the opportunities it has given me,” Tan said. “I also love this company. Leading Intel at this critical moment is not just a job—it’s a privilege.”

Trump’s Intel attacks rooted in Biden beef?

In his op-ed, SCMP’s Lo suggested that “Intel itself makes a good punching bag” as the biggest recipient of CHIPS Act funding. The CHIPS Act was supposed to be Biden’s lasting legacy in the US, and Trump has resolved to dismantle it, criticizing supposed handouts to tech firms that Trump prefers to strong-arm into US manufacturing instead through unpredictable tariff regimes.

“The attack on Intel is also an attack on Trump’s predecessor, Biden, whom he likes to blame for everything, even though the industrial policies of both administrations and their tech war against China are similar,” Lo wrote.

At least one lawmaker is ready to join critics who question if Trump’s trade war is truly motivated by national security concerns. On Friday, US representative Raja Krishnamoorthi (D.-Ill.) sent a letter to Trump “expressing concern” over Trump allowing Nvidia to resume exports of its H20 chips to China.

“Trump’s reckless policy on AI chip exports sells out US security to Beijing,” Krishnamoorthi warned.

“Allowing even downgraded versions of cutting-edge AI hardware to flow” to the People’s Republic of China (PRC) “risks accelerating Beijing’s capabilities and eroding our technological edge,” Krishnamoorthi wrote. Further, “the PRC can build the largest AI supercomputers in the world by purchasing a moderately larger number of downgraded Blackwell chips—and achieve the same capability to train frontier AI models and deploy them at scale for national security purposes.”

Krishnamoorthi asked Trump to send responses by August 22 to four questions. Perhaps most urgently, he wants Trump to explain “what specific legal authority would allow the US government to “extract revenue sharing as a condition for the issuance of export licenses” and what exactly he intends to do with those funds.

Trump was also asked to confirm if the president followed protocols established by Congress to ensure proper export licensing through the agreement. Finally, Krishnamoorthi demanded to know if Congress was ever “informed or consulted at any point during the negotiation or development of this reported revenue-sharing agreement with NVIDIA and AMD.”

“The American people deserve transparency,” Krishnamoorthi wrote. “Our export control regime must be based on genuine security considerations, not creative taxation schemes disguised as national security policy.”

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

US may purchase stake in Intel after Trump attacked CEO Read More »

Upcoming DeepSeek AI model failed to train using Huawei’s chips

AI, china, DeepSeek, NVIDIA, syndication / 9u50fv / August 14, 2025

DeepSeek is still working with Huawei to make the model compatible with Ascend for inference, the people said.

Founder Liang Wenfeng has said internally he is dissatisfied with R2’s progress and has been pushing to spend more time to build an advanced model that can sustain the company’s lead in the AI field, they said.

The R2 launch was also delayed because of longer-than-expected data labeling for its updated model, another person added. Chinese media reports have suggested that the model may be released as soon as in the coming weeks.

“Models are commodities that can be easily swapped out,” said Ritwik Gupta, an AI researcher at the University of California, Berkeley. “A lot of developers are using Alibaba’s Qwen3, which is powerful and flexible.”

Gupta noted that Qwen3 adopted DeepSeek’s core concepts, such as its training algorithm that makes the model capable of reasoning, but made them more efficient to use.

Gupta, who tracks Huawei’s AI ecosystem, said the company is facing “growing pains” in using Ascend for training, though he expects the Chinese national champion to adapt eventually.

“Just because we’re not seeing leading models trained on Huawei today doesn’t mean it won’t happen in the future. It’s a matter of time,” he said.

Nvidia, a chipmaker at the center of a geopolitical battle between Beijing and Washington, recently agreed to give the US government a cut of its revenues in China in order to resume sales of its H20 chips to the country.

“Developers will play a crucial role in building the winning AI ecosystem,” said Nvidia about Chinese companies using its chips. “Surrendering entire markets and developers would only hurt American economic and national security.”

DeepSeek and Huawei did not respond to a request for comment.

Upcoming DeepSeek AI model failed to train using Huawei’s chips Read More »

China tells Alibaba, ByteDance to justify purchases of Nvidia AI chips

AI, china, NVIDIA, Policy, syndication / 9u50fv / August 12, 2025

Beijing is demanding tech companies including Alibaba and ByteDance justify their orders of Nvidia’s H20 artificial intelligence chips, complicating the US chipmaker’s business in China after striking an export arrangement with the Trump administration.

The tech companies have been asked by regulators such as the Ministry of Industry and Information Technology (MIIT) to explain why they need to order Nvidia’s H20 chips instead of using domestic alternatives, said three people familiar with the situation.

Some tech companies, who were the main buyers of Nvidia’s H20 chips before their sale in China was restricted, were planning to downsize their orders as a result of the questions from regulators, said two of the people.

“It’s not banned but has kind of become a politically incorrect thing to do,” said one Chinese data center operator about purchasing Nvidia’s H20 chips.

Alibaba, ByteDance, and MIIT did not immediately respond to a request for comment.

Chinese regulators have expressed growing disapproval of companies using Nvidia’s chips for any government or security related projects. Bloomberg reported on Tuesday that Chinese authorities had sent notices to a range of companies discouraging the use of the H20 chips, particularly for government-related work.

China tells Alibaba, ByteDance to justify purchases of Nvidia AI chips Read More »