Longtime Slashdot reader schwit1 shares a report from CNBC: The U.S. has cleared around 10 Chinese firms to buy Nvidia's second-most powerful AI chip, the H200, but not a single delivery has been made so far, three people familiar with the matter said, leaving a major technology deal in limbo as CEO Jensen Huang seeks a breakthrough in China this week. [...] Before U.S. export curbs tightened, Nvidia commanded about 95% of China's advanced chip market. China once accounted for 13% of its revenue, and Huang has previously estimated the country's AI market alone would be worth $50 billion this year.

The U.S. Commerce Department has approved around 10 Chinese companies including Alibaba, Tencent, ByteDance and JD.com to purchase Nvidia's H200 chips, according to the sources, who spoke on condition of anonymity due to the sensitivity of the matter. A handful of distributors including Lenovo and Foxconn have also been approved, they said. Buyers are permitted to purchase either directly from Nvidia or through those intermediaries and each approved customer can purchase up to 75,000 chips under the U.S. licensing terms, two of them said.

Despite U.S. approval, deals have stalled, as Chinese firms pulled back after guidance from Beijing, one source said. The shift in China was partly triggered by changes on the U.S. side, though exactly what changed remains unclear, the person added. In Beijing, pressure is mounting to block or tightly vet the orders, a separate fourth source said. Commerce Secretary Howard Lutnick echoed that view, telling a Senate hearing last month that "the Chinese central government has not let them, as of yet, buy the chips, because they're trying to keep their investment focused on their own domestic industry."

A man accused of stealing hard drives containing unreleased Beyonce music, tour plans, and other materials from a rental car in Atlanta has pleaded guilty and accepted a five-year sentence, including two years in custody. Slashdot Bruce66423 shares a report from The Guardian: Kelvin Evans was by the Atlanta police department in September in connection to a July 2025 car robbery where two suitcases containing Beyonce music and tour plans were stolen from a rental car. [...] According to a July police report, Beyonce choreographer Christopher Grant and dancer Diandre Blue called 911 to report a theft from their rental vehicle, a 2024 Jeep Wagoneer, before Beyonce's Cowboy Carter tour dates in Atlanta. An October indictment stated that Evans entered the car on July 8 "with the intent to commit theft."

The stolen hard drives contained "watermarked music, some unreleased music, footage plans for the show and past and future set list," according to a police report. Clothing, designer sunglasses, laptops and AirPods headphones were also stolen, Grant and Blue said. Local law enforcement searched for the location of one of the stolen laptops and the AirPods to try and locate the property. One police officer wrote in the report: "I conducted a suspicious stop in the area, due to the information that was relayed to me. There were several cars in the area also that the AirPods were pinging to in that area also. After further investigation, a silver [redacted], which had traveled into zone 5 was moving at the same time as the tracking on the AirPods."

Evans was arrested several weeks after Grant and Blue filed a report, and was publicly named as the suspect in September. He was released on a $20,000 bond a month later. At the time of his arrest, Atlanta police said that the stolen property had not been recovered. It is unclear whether it has since been found. Bruce66423 commented: "Just for stealing a couple of suitcases from a car. Funny how the elite punish those who inconvenience them. Can you imagine an ordinary victim see their offender get that sort of sentence?"

BrianFagioli writes: SOLAI has launched the Solode Neo, a $399 Linux-based mini PC designed for always-on AI agents, browser automation, and persistent developer workflows. The compact system ships with an Intel N150 processor, 12GB LPDDR5 memory, 128GB SSD storage, Gigabit Ethernet, WiFi, Bluetooth, and a Linux-based operating system called Solode AI OS. The company says the device supports frameworks and tools including Claude Code, OpenAI Codex, Gemini CLI, and Hermes, while emphasizing local control, automation, and privacy-focused workflows running directly from a home network.

While SOLAI markets the Solode Neo as an "AI computer," the hardware itself appears aimed more at lightweight automation and cloud-assisted agent tasks than heavy local inference. The low-power Intel N150 should be sufficient for browser automation, scheduling, monitoring, containers, and smaller AI workloads, but the system is unlikely to compete with higher-end local AI hardware designed for running larger models offline. Even so, the idea of a dedicated low-power Linux appliance for persistent AI and automation tasks may appeal to homelab users and self-hosting enthusiasts looking for a simpler alternative to building their own always-on workflow box from scratch.

Microsoft and G42's planned $1 billion AI data center in Kenya has stalled amid disagreements over power commitments, with President William Ruto saying the country would need to "switch off half the country" to support the project at full scale. Tom's Hardware reports: The project, announced in May 2024 during Ruto's visit to Washington, was supposed to bring a geothermal-powered data center to the Olkaria region in Kenya's Rift Valley. G42 was to lead construction, with the facility running Microsoft Azure in a new East Africa cloud region. The first phase targeted 100 megawatts of capacity and was expected to be operational by this year, with a long-term goal of scaling to 1 gigawatt.

President Ruto isn't exaggerating about shutting off half the country's power. Kenya's total installed electricity capacity sits between 3,000 and 3,200 megawatts, and peak demand reached a record 2,444 megawatts in January, according to data from KenGen, the country's government-owned electricity producer. The full 1 gigawatt build would therefore have consumed roughly a third of the country's total capacity, and even the first 100 megawatts would have required a significant share of the Olkaria geothermal complex's output, which currently generates around 950MW across all its plants.

John Tanui, principal secretary at Kenya's Ministry of Information, told Bloomberg that the project hasn't been withdrawn and that talks are continuing, adding that the "scale of the data center they [Microsoft] wanted to do still requires some structuring." A separate 60-megawatt project with local developer EcoCloud is also still under discussion. [...] Microsoft is spending $190 billion on capex in 2026, and the company adds approximately 1 gigawatt of data center capacity every three months globally. But power constraints are proving to be a universal bottleneck: nearly half of planned U.S. data center builds this year have been delayed or canceled due to shortages of electrical infrastructure.

Nvidia's real AI moat isn't "a piece of hardware," writes Wired's Sheon Han. It's CUDA: a mature, deeply optimized software ecosystem that keeps machine-learning workloads tied to Nvidia GPUs. An anonymous reader quotes a report from Wired: What sounds like a chemical compound banned by the FDA may be the one true moat in AI. CUDA technically stands for Compute Unified Device Architecture, but much like laser or scuba, no one bothers to expand the acronym; we just say "KOO-duh." So what is this all-important treasure good for? If forced to give a one-word answer: parallelization. Here's a simple example. Let's say we task a machine with filling out a 9x9 multiplication table. Using a computer with a single core, all 81 operations are executed dutifully one by one. But a GPU with nine cores can assign tasks so that each core takes a different column -- one from 1x1 to 1x9, another from 2x1 to 2x9, and so on -- for a ninefold speed gain. Modern GPUs can be even cleverer. For example, if programmed to recognize commutativity -- 7x9 = 9x7 -- they can avoid duplicate work, reducing 81 operations to 45, nearly halving the workload. When a single training run costs a hundred million dollars, every optimization counts.

Nvidia's GPUs were originally built to render graphics for video games. In the early 2000s, a Stanford PhD student named Ian Buck, who first got into GPUs as a gamer, realized their architecture could be repurposed for general high-performance computing. He created a programming language called Brook, was hired by Nvidia, and, with John Nickolls, led the development of CUDA. If AI ushers in the age of a permanent white-collar underclass and autonomous weapons, just know that it would all be because someone somewhere playing Doom thought a demon's scrotum should jiggle at 60 frames per second. CUDA is not a programming language in itself but a "platform." I use that weasel word because, not unlike how The New York Times is a newspaper that's also a gaming company, CUDA has, over the years, become a nested bundle of software libraries for AI. Each function shaves nanoseconds off single mathematical operations -- added up, they make GPUs, in industry parlance, go brrr.

A modern graphics card is not just a circuit board crammed with chips and memory and fans. It's an elaborate confection of cache hierarchies and specialized units called "tensor cores" and "streaming multiprocessors." In that sense, what chip companies sell is like a professional kitchen, and more cores are akin to more grilling stations. But even a kitchen with 30 grilling stations won't run any faster without a capable head chef deftly assigning tasks -- as CUDA does for GPU cores. To extend the metaphor, hand-tuned CUDA libraries optimized for one matrix operation are the equivalent of kitchen tools designed for a single job and nothing more -- a cherry pitter, a shrimp deveiner -- which are indulgences for home cooks but not if you have 10,000 shrimp guts to yank out. Which brings us back to DeepSeek. Its engineers went below this already deep layer of abstraction to work directly in PTX, a kind of assembly language for Nvidia GPUs. Let's say the task is peeling garlic. An unoptimized GPU would go: "Peel the skin with your fingernails." CUDA can instruct: "Smash the clove with the flat of a knife." PTX lets you dictate every sub-instruction: "Lift the blade 2.35 inches above the cutting board, make it parallel to the clove's equator, and strike downward with your palm at a force of 36.2 newtons." "You can begin to see why CUDA is so valuable to Nvidia -- and so hard for anyone else to touch," writes Han. "Tuning GPU performance is a gnarly problem. You can't just conscript some tender-footed undergrad on Market Street, hand them a Claude Max plan, and expect them to hack GPU kernels. Writing at this level is a grindsome enterprise -- unless you're a cracker-jack programmer at DeepSeek..."

Han goes on to argue that rivals like AMD and Intel offer competitive specs on paper, but their software stacks have struggled with bugs, compatibility issues, and weak adoption. As a result, Nvidia has built an Apple-like moat around AI computing, leaving the industry dependent on its expensive hardware.

Ford's sales of electrified vehicles — including hybrids and all-electric models — dropped 31% from April 2025, reports Electrek. "Hybrid sales fell 32% to 15,758 vehicles, while EV sales continued to crash with just 3,655 all-electric models sold last month, 25% fewer than in the year prior." After discontinuing the F-150 Lightning in December, sales of the electric pickup have been in free fall. Ford sold just 884 Lightnings last month, 49% less than it did last April. The Mustang Mach-E isn't doing much better. Sales fell another 9% year over year in April, to just 2,670 models last month. Through the first four months of 2026, Ford's EV sales have fallen 61% from last year, with F-150 Lightning and Mustang Mach-E sales down 67% and 50%, respectively. Ford has sold just over 10,500 electric vehicles in total so far this year... For comparison, Toyota sold just over 10,000 bZ models in the first quarter alone. That's more than Ford's total EV sales in Q1.
April was Ford's fourth straight month of lower sales figures from 2025, the article points out. So Ford is bringing back "employee pricing" discounts on most new 2025 and 2026 Ford and Lincoln vehicles., while also offering "purchase incentives" of up to $9,000 for 2025 Lightning models and up to $6,000 for 2025 Mustang Mach-Es. "It's also offering EV buyers a free Level 2 home charger, 24/7 live support, and proactive roadside assistance through its Power Promise program."

The free/open source project OrcaSlicer is a popular fork of 3D printer slicing software from Bambu Lab. But Tuesday independent developer Pawel Jarczak shuttered the project "following legal threats from Bambu Lab," reports Tom's Hardware: Jarczak's fork of OrcaSlicer would have allowed users to bypass Bambu Connect, a middleware application that severely limits OrcaSlicer's access to remote printer functions in the name of security. Jarczak said in a note on GitHub that Bambu Lab threatened him with a cease and desist letter and accused him of reverse engineering its software in order to impersonate Bambu Studio.
From Bambu Lab's blog post: Bambu Studio is an open-source project under the AGPL-3.0 license. Anyone can take its code, modify it, and distribute it... That's what OrcaSlicer does, and 734 other forks do as well. We have no issue with that and never have. At the same time, a license for code is not a pass to our cloud infrastructure... Our cloud is a private service. Access to it is governed by a user agreement, not the AGPL license... [T]he modification in question worked by injecting falsified identity metadata into network communication. In simple terms: it pretended to be the official Bambu Studio client when communicating with our servers... If this method were widely adopted or incorrectly configured, thousands of clients could simultaneously hit our servers while impersonating the official client.
"User-Agent is not authentication," counters OrcaSlicer's developer. "It is only self-declared client metadata. Any program can set any User-Agent." And "the User-Agent construction comes directly from Bambu Lab's own public AGPL Bambu Studio code.... So on what basis can anyone claim that I am not allowed to use this specific part of AGPL-licensed code under the AGPL license...? My work was based on publicly available Bambu Studio source code together with my own integration layer."

But the bottom line is that Bambu Lab "contacted me directly and demanded removal of the solution." I asked whether I could publish the private correspondence in full for transparency. That request was refused... They also referred to legal materials and stated that a cease and desist letter had been prepared...

I removed the repository voluntarily. That removal should not be interpreted as an admission that all legal or technical allegations made against the project were correct. I removed it because I have no interest in maintaining a prolonged dispute around this particular implementation, and no interest in continuing to distribute it.
YouTuber and right-to-repair advocate Louis Rossmann reviewed the correspondence from Bambu Lab — then pledged $10,000 for legal expenses if the developer returned his code online. ("I think that their legal claim is bullshit," Rossman said Saturday in a YouTube video for his 2.5 million subscribers. "I'm not a lawyer, but I'm willing to put my money where my mouth is.")

The video now has over 129,000 views so far. "Rossman has not started a crowdfunding site yet," Tom's Hardware notes, "stating in the comments that he wants to prove to Jarczak that he has supporters willing to put their money where their mouth is. The video had over 129,000 views so far, with commenters vowing to back the case as requested."

While Nvidia has dominated the "infrastructure boom" since 2022's launch of ChatGPT and "the generative AI craze," CNBC writes that "This week offered the starkest illustration yet of what MIzuho analyst Jordan Klein said could be a 'changing of the guard in AI.'" Chipmakers Advanced Micro Devices and Intel notched gains of about 25%, while memory maker Micron jumped more than 37% and fiber-optic cable maker Corning climbed about 18%. All four of those companies have more than doubled in value this year, with Intel leading the way, up well over 200%. Nvidia, meanwhile, is only slightly ahead of the Nasdaq in 2026, gaining 15% for the year, aided by an 8% rally this week. In spreading the wealth to a wider swath of hardware companies, investors are clearly betting that the bull market in AI has long legs and that data centers are going to need a wider array of advanced components for years to come.

Memory has been the biggest theme of late due to a global shortage that's driven up prices and turned Micron, a 47-year-old company tucked in a sleepy corner of the semiconductor market, into one of the hottest trades over the past 12 months. Micron blew past an $800 billion market capitalization for the first time this week, and the stock is now up over 750% in the past year. CEO Sanjay Mehrotra told CNBC in March that key customers are only getting "50% to two-thirds of their requirements" because of supply issues. The memory market is largely dominated by Micron, along with Korea-based Samsung and SK Hynix, which are also both in the midst of historic rallies...

Bank of America estimates the data center CPU market could more than double from $27 billion in 2025 to $60 billion in 2030. AMD's quarterly results this week underscored the emerging trend, as earnings, revenue and guidance sailed past estimates on strong data center growth. The company has long led the CPU charge, and CEO Lisa Su said on the earnings call that AMD now expects 35% growth over the next three to five years in the server CPU market, up from a forecast of 18% growth that the company provided in November.
The article cites two other big movers:

• Intel "is in the midst of a revival sparked by a major investment from the U.S. government last year. Intel's stock had its best month on record in April, more than doubling, and has continued notching massive gains, rising 33% in the early days of May."

• Nvidia still remains the world's most valuable company "and is expected to show revenue growth of 70% this fiscal year," the article points out — adding that companies like Corning are also benefiting from Nvidia partnerships. "Glass maker Corning, which celebrated its 175th anniversary this week, signed a massive deal with Nvidia on Wednesday that involves the development of three new U.S. factories dedicated entirely to optical technologies... likely a major step in Nvidia's move away from copper cables and towards fiber-optic cables as it builds out its rack-scale systems."

To upgrade its grid for data centers, PJM Interconnection (which serves 13 states) plans to spend $22 billion — and charge nearly $2 billion of that to customers in Maryland, argues Maryland's Office of People's Counsel. The money "will be recovered in rates for decades" and "drive up Maryland customer bills by $1.6 billion over the next ten years alone," they said Friday, announcing an official complaint filed with America's Federal Energy Regulatory Commission.

Extra demand is expected from Ohio, Pennsylvania, and Illinois "where demands driven by data centers are projected to grow substantially by 2036," they explain. But that means that Maryland customers "are subsidizing data center-driven transmission buildout by virtue of geographic proximity..." Tom's Hardware explains: That means an extra $823 million for residential (approx. $345 per customer), $146 million for commercial (approx. $673 per customer), and $629 million for industrial customers (approx. $15,074 per customer)... "Maryland customers have neither caused the need for these billions in new transmission projects nor will they meaningfully benefit from them," [according to Maryland People's Counsel David S. Lapp]....

This is one of the biggest reasons why many AI hyperscalers are facing pushback from the communities where they intend to place their data centers. At the moment, around 69 jurisdictions have passed some sort of moratorium on projects like these, and a survey has shown that nearly half of Americans do not want a data center in their neighborhood. Debates around these projects are passionate, with a few cases turning violent and even resulting in shootings (thankfully, without any casualties), especially as many feel that the construction of these power-hungry assets is threatening their lifestyles and quality of life.
Thanks to long-time Slashdot reader noshellswill for sharing the news.

A four-foot humanoid robot named Gabi has become a monk at a Buddhist temple in Seoul, participating in a modified initiation ceremony where it pledged to respect life, obey humans, act peacefully toward other robots and objects. "Robots are destined to collaborate with humans in every field in the future," Hong Min-suk, a manager at the Jogye Order, the largest sect of Buddhism in South Korea, tells the New York Times. "It will only be natural for them to be part of our festival." Smithsonian Magazine reports: For the temple, this marks the first time a robot has participated in the sugye initiation ceremony, when followers pledge their devotion to the Buddha and his teachings. Gabi -- a Buddhist name that refers to mercy, Yonhap News Agency reports -- was made by Unitree Robotics, a Chinese civilian robotics company. The model, G1, retails starting at $13,500. During the ceremony, Gabi agreed to five vows usually recited by human monks and slightly altered for the humanoid. The robot pledged to respect life, act with peace toward other robots and objects, listen to humans, refrain from acting or speaking in a deceptive manner and save energy.

Gabi participated in a modified yeonbi purification ritual. While a human monk normally receives a small incense burn on the arm, instead Gabi received a lotus lantern festival sticker and a prayer bead necklace. The landmark event aligns with the promise made during a New Year's address by the Venerable Jinwoo, president of the Jogye Order of Korean Buddhism, to incorporate artificial intelligence into the Buddhist tradition. "We aim to fearlessly lead the A.I. era and redirect its achievements toward the path of attaining peace of mind and enlightenment," he said, per a statement.

BrianFagioli writes: Micron says it is now shipping the world's highest-capacity commercially available SSD, and the numbers are honestly hard to wrap your head around. The new Micron 6600 ION packs 245TB into a single drive and is aimed squarely at AI infrastructure, hyperscalers, and cloud providers dealing with exploding data growth. According to the company, the SSD can reduce rack counts by 82 percent compared to HDD deployments offering similar raw capacity, while also cutting power usage and cooling requirements. Micron says the drive tops out at roughly 30W, which it claims is about half the power draw of comparable hard drive setups.

The announcement also feels like another warning sign for spinning disks in the enterprise. Hard drives still dominate bulk storage because of lower cost per terabyte, but SSD capacities keep climbing into territory that used to belong exclusively to HDDs. Micron is also touting major performance gains, claiming up to 84 times better energy efficiency for AI workloads and dramatically lower latency versus HDD-based systems. While nobody is dropping one of these into a home NAS anytime soon, the idea of a quarter petabyte on a single SSD no longer sounds like science fiction.

Apple and Intel have reportedly reached a preliminary agreement (paywalled; alternative source) for Intel to manufacture some chips used in Apple devices, after more than a year of talks and pressure from the Trump administration. It's still unclear which Apple products would use Intel-made chips, but the deal would mark a major potential win for Intel's foundry ambitions and give Apple another manufacturing option beyond TSMC.

An anonymous reader quotes a report from 404 Media: Skyrocketing hard drive and storage costs caused by the AI data center boom are making it more expensive and more difficult for digital archivists, academics, Wikipedia, and hobby data hoarders to save data and archive the internet. Specific drives favored by some high profile organizations like the Internet Archive have become far more expensive or are difficult to find at all, archivists said. Over the last several months, prices for both consumer level and enterprise solid state drives, hard drives, and other types of storage have skyrocketed. As an example, a 2TB external Samsung SSD I purchased last fall for $159 now costs $575. PC Part Picker, a website that tracks the average price of different types of drives, shows a universal increase in storage prices starting in about October of last year. Prices of many of the drives it tracks have doubled or increased by more than 150 percent, and at some stores SSDs and hard drives are simply sold out. There is now even a secondary market for some SSDs, with people scalping them on eBay and elsewhere.

Brewster Kahle, founder of the Internet Archive and the Wayback Machine, the most important archiving projects in the history of the internet, told 404 Media that the skyrocketing costs of storage is "a very real issue costing us time and money." "We have found that the preferred 28-30TB drives are just not available or at very high price," Kahle said. "We gather over 100 terabytes of new materials each day, and we have over 210 Petabytes of materials already archived on machines that need continuous upgrades and maintenance, so we need to constantly get new hard drives." "We are fortunate to have an active community that donates to the Archive, and we are also looking for help from hard drive manufacturers in these difficult times. We are always looking for more help," he added. "So far we have ways to work around these shortages, but it is a very real issue causing us time and money."

The Wikimedia Foundation, which runs Wikipedia and various other projects, including Wikimedia Commons, an open repository of royalty free media, told 404 Media that the cost of storage has become a concern for the foundation's projects as well. "With over 65 million articles on Wikipedia alone, access to server and storage capacity is vital to us. We've certainly seen price increases since the end of 2025. These price increases are of concern to us, as with every other player in the industry. We see the primary impact in the purchase of memory and hard drives but also in terms of lead times on server deliveries and our capacity to place future orders," a Wikimedia Foundation spokesperson told us. "The Wikimedia Foundation is a non-profit, and as such how we allocate budget is very carefully considered. We maintain our own data centers to serve our users from all over the world. We're putting workarounds in place where we can, mainly involving being smart with how we prioritize investment in hardware, building in flexibility as well as extending the life of existing hardware where possible."

Western Digital, one of the largest manufacturers of hard drives and other storage systems, said that it has essentially sold out of its 2026 inventory to enterprise clients, many of which run data centers. Micron, which made RAM and SSDs under the brand name Crucial, has exited the consumer market altogether because "AI-driven growth in the data center has led to a surge in demand for memory and storage. Micron has made the difficult decision to exit the Crucial consumer business in order to improve supply and support for our larger, strategic customers in faster-growing segments."

Motherboard sales are sharply declining as AI demand drives shortages and price hikes for memory, storage, CPUs, and other PC components. "Because of this, users who don't have deep pockets are putting off upgrading their PCs and holding on to their current devices longer," reports Tom's Hardware. From the report: Asus, which sold 15 million motherboards in 2025, has only shipped a little more than 5 million in the first half of 2026. It's expected that the company will have to push hard for it to even move 10 million units by the end of the year, marking a 33% decrease in sales year-on-year. Gigabyte and MSI sold 11.5 million and 11 million motherboards last year, respectively. However, both companies have revised their internal forecasts for 2026 to 9 million (Gigabyte) and 8.4 million (MSI), a 22% drop for the former and a 24% contraction for the latter.

ASRock will be hardest hit by the situation, with the company's shipments projected to fall by 37%, from 4.3 million in 2025 to just 2.7 million by the end of the year. This marks a contraction of 28% for the overall motherboard market, at least for the big four manufacturers. [...] Aside from this, AMD continues to use the AM5 socket for its latest processors, while Intel's Nova Lake, which will reportedly use LGA 1954, isn't available until later this year. The situation is further compounded by Nvidia not releasing a refreshed RTX 50 Super series this year, while rumors claim that the RTX 60 series will not debut until 2028. This confluence of factors is discouraging PC builders from upgrading their current systems.

NewtonsLaw writes: According to Realtor.com, a California startup called Span plans to partner with Nvidia, PulteGroup, and other homebuilders to equip new homes with mini-data centers, so as to relieve the need to build and power much larger traditional centers. The article states the company "can install 8,000 XFRA units about six times faster and at five times lower cost than the construction of a typical centralized 100 megawatt data center of the same size." Could this be the solution to at least some of the problems hindering the rollout of greater data-center capacity for AI systems? "One big reason the XFRA model works is that the average American home only uses about 40 percent of its electrical capacity," Span said. "As big data center developers struggle to find power sources and distribution capacity, XFRA uses capacity that's already available."

The startup says they will launch a 100-home proof of concept within the year to see if the idea is viable.