Google subsidiary Tuike Finland Oy has just received a notice from the Finnish Licensing and Supervision Agency, or LVV, ordering it to stop construction on two data centers. According to CNBC, the sites in Muhos and Kajaani cannot proceed until environmental impact assessments have been completed, which have been under investigation for allegedly clearing over 740 acres of Finnish forest for the project.

“We understand the concerns and have fallen short of our own high standards in this instance,” a Google spokesperson told the publication. “We acted in good faith under the Forestry Act and ran nature surveys and put in place measures to protect high-value areas. As we continue our long-term work in the region, we are advancing our landscaping and biodiversity plans, which include tree planting across 130 hectares at Muhos.”

Finland is sometimes called the “Texas of Europe” when it comes to data centers because of its readily available supply of land and electricity, which have been some of the major bottlenecks that data center developers have been facing. Even though the epicenters of the AI data center infrastructure build-up are centered around the U.S. and China, Europe is trying to catch up with its massive $30 billion investment and a target of 100,000 AI GPUs for each site. SoftBank also plans to invest $87 billion specifically in France because of its nuclear-powered electricity grid.

However, other European nations are struggling with the demand for this power-hungry infrastructure. Denmark has paused new data center connection requests as demand hit 60GW — more than eight times the country’s peak power consumption of around 7GW — while Amazon’s data center projects on the continent are facing delays of up to seven years as they wait for new connections.

These stop-work orders aren’t related to electricity supply, though. Instead, the concerns stem from the alleged cutting of trees without the go-signal from the government. The LVV ordered the subsidiary to stop removing trees and topsoil, as well as cease activities such as excavation, quarrying, crushing, soil mass transfers, ditching, and road and storage construction. “In our opinion, the measures in question will change the environment and cause impacts, the identification and assessment of which are among the key objectives of the EIA procedure,” LVV environmental department head Tommi Muilu said in a statement. Still, the subsidiary can proceed with planning, measurement, soil surveys, and other activities that would only have minimal impacts.

U.S. data centers have increasingly faced resistance from residents and communities around them, with 45 projects worth $68 billion blocked in the second quarter of 2026. We haven’t seen the same level of high-profile opposition in Europe, but this is likely because of the stricter permitting and review processes in the region, where concerns are usually raised and addressed even before construction begins.

Shenzhen Tuozhu Technology, Bambu Lab’s parent company, has filed a patent application in the U.S. for a new heatbed design, which was published on September 10, 2026. This design aims to heat a printbed more evenly, reducing issues with prints as commonly reported by many users of various 3D printer brands. The patent describes the construction, heating method, and its claim of better adhesion to improve print quality.

The abstract of patent US20260264331A1 states: “The heated bed comprises a heated bed body, a heating unit, and a bottom case, wherein one end of the heating unit is configured to be electrically connected to one end of a power supply, and the other end of the heating unit is configured to be electrically connected to the other end of the power supply; the heating unit is disposed between the heated bed body and the bottom case. The heating unit is attached to a surface, proximal to the bottom case, of the heated bed body, and the heating unit is configured to heat the heated bed body. By implementing the present application, the adhesion capability of the print panel can be improved and the print quality can be improved.”

It’s hard to imagine from the abstract alone, but the patent’s sheets visually show us what Bambu Lab is trying to achieve, and the claims tell us more details. The current heatbeds use a laminated heating sheet, adhered to a sheet of aluminum with magnets to hold a build plate. Bambu Lab’s new design wants to replace the laminated heating sandwich with a “heated bed body.” Looking at FIG. 3 of the patent, you can see what looks to be a monolithic heatbed with a machined channel where the heating element will run through; claim 5 describes the recess’ shape resembling the Chinese character “凹,” which also happens to mean sunken or depressed.

As previously described, the heating element loops around inside a recess in the heatbed, but it is one long unit that is connected to a single power supply at each end. The loops reach the corners, potentially reducing peeling for large prints that use most of the bed’s surface; this configuration may also improve the time to reach target temperatures. It does not describe being able to heat zones independently, however.

Machining a recess in a large piece of aluminum is quite costly, in both materials and machining costs, though it is possible for Bambu Lab to create this heated bed body from multiple pieces, possibly from multiple layers of aluminum sheets to avoid using large and expensive billets.

Besides the new heatbed, included are claims describing a 3D printer. It describes a fairly generic CoreXY 3D printer, but don’t panic; this doesn’t mean every brand is suddenly going to infringe on this patent. The claims describing a 3D printer are tied to the heatbed design, so it would take a printer that has Bambu Lab’s patented heatbed design to potentially fall within the patent’s scope — the PCT application is still pending, however, so the patent cannot be enforced yet.

If the patent does get granted and the performance is superior to the current heatbed design, this could potentially mean Bambu Lab would be tempted to charge more for their replacement heatbeds and possibly the printer as a whole. In the meantime, there is no information on the performance of this design, so we will have to wait and use a bit more glue on our buildplates.

Data center energy demand is shooting constantly upwards. By 2030, some 945TWh of electricity is expected to be used to meet AI’s demand; the International Energy Agency believes — that's as much electricity as Japan uses today. The energy crunch is inescapable, and the industry’s answer has largely been to focus on the physical: build more efficient GPUs and secure more power supply from an already tight grid. But is that myopic focus on hardware actually worth it? Instead, could most of the work running on those machines be cut back to save power?

Average power usage effectiveness (PUE) has barely changed for six successive years, according to the Uptime Institute’s 2025 survey. PUE can show whether cooling and power systems are wasteful, but doesn’t account for whether the software running on the servers is doing useful work. And given servers account for around 60% of electricity demand in a modern data center, while cooling ranges from about 7% in an efficient hyperscale site to more than 30% in a less-efficient enterprise facility, focusing on eking out more efficiency from the software side of the equation seems sensible.

“The answer to what seems to be the core question – ‘Can software or algorithms meaningfully help with power and energy?’ – is yes, 100%,” said Jae-Won Chung, a PhD candidate in computer science and engineering at the University of Michigan and researcher with the ML.Energy initiative, in an interview with Tom’s Hardware Premium.

Chung suggests computing systems should be seen as a stack with hardware at the bottom, backed up by systems software, algorithms and applications. The hardware end of that equation is the hardest bit to tackle: chips are slow and costly to replace. But the other three layers are easier to change, and any gains in efficiency made there can compound.

ML.Energy’s tests of the Alibaba Qwen 3 235B A22B Thinking model suggest that running inference in FP8 – a slightly lower-precision format – consumed a third less energy than bfloat16 versions on problem-solving tasks. Chung’s own Perseus training optimiser identifies parts of a large-model training job that have less work to do, then slows them so they finish alongside busier parts. The system cut training energy by up to 30% without reducing throughput or changing the hardware.

This isn’t a tweak around the edges being made by tinkerers: some of the biggest GPU firms are doing something similar. Nvidia’s Blackwell power profiles fine-tune everything from GPU compute and memory frequencies, power limits, NVLink states and cache settings to fit the workload. Nvidia believes that can save up to 15% of energy while retaining 97% or more of overall performance, allowing power-constrained facilities to run more GPUs, raising throughput by as much as 13%.

‘The loudest rack in the room’

Chetan Visrolia, business development manager for data center infrastructure at SHI, said in an interview with Tom’s Hardware Premium that the most obvious waste he encounters is often legacy equipment supporting old code. “It is always the lowest-hanging fruit for quick savings,” he said. “It can easily be found in any data center, as it is the loudest rack on the floor.”

Cloud instances can also be made a smarter size, and AI prompts that are repeatedly used can be stored in cache rather than recomputed on the fly. There are also efficiencies to be made by getting small models to handle routine requests while holding back the larger ones for harder tasks. At the same time, better batching and compilers can raise accelerator utilisation, and crunching down prompts while throwing limits on outputs can also tamp down the number of tokens processed.

Software can also change when and where electricity is drawn. Sophie Hall, a doctoral student at ETH Zurich’s Automatic Control Laboratory who has studied workload shifting across Google’s global data-center fleet, argues in an interview with Tom’s Hardware Premium that electricity consumption isn’t necessarily the main problem.

“It’s more like: when do they use it, where do they use it, and how is it interacting with the grid?” she said. If batch jobs aren’t time-sensitive, they could be delayed until local demand falls or routed to a region with spare capacity and lower-carbon electricity. Hall’s research uses day-ahead planning and real-time scheduling to respond to grid signals while preserving performance guarantees.

Taking that kind of action was less necessary when hyperscalers built way more capacity than they actually needed and the grid wasn’t a bottleneck, Hall said. But the massive demand for AI has changed the equation.

There are limits, though: individual countries’ data sovereignty rules can prevent a workload from crossing borders, while moving large datasets across networks is something that inference providers may be wary of in case things go wrong. “The data needs to literally, physically, geographically move to a different location,” Hall said. “That’s not that easy.”

The scale of the data center demand powered by AI means that software isn’t a silver bullet or a substitute for better chips and new electricity infrastructure. But it can act as a control layer that squeezes out every last drop from those increasingly expensive assets, while also helping shift demand to places where there is more capacity.

Jevons ’ paradox is also at play, and needs to be considered when thinking about making systems run better. Efficiency doesn’t reduce a facility’s electricity use if each watt saved gets used up generating even more tokens. “Power is the core bottleneck in AI data centers,” said Chung. “We really want to make the best use of every watt we consume.”

Ukrainian drones hit a major Yandex data center in Sasovo, Russia, causing a massive fire and forcing the company to shut down the facility, according to Reuters and Meduza. Many services using Yandex Cloud are down following the attack. The site reportedly houses two of Yandex's three supercomputers used for artificial intelligence development, though it remains unclear whether the systems sustained any damage, as for now their fate is unclear. Russian missiles struck Ukrainian digital infrastructure earlier this month.

The Sasovo facility, one of Yandex's five major data centers, accommodates tens of thousands of servers, including two Nvidia A100-based supercomputers named Chervonenkis and Lyapunov. Chervonenkis, the company's most powerful system, was once ranked as the world's 19^th most powerful supercomputer in the Top 500 list in 2021, but by today's standards its 21.53 FP64 PFLOPS is enough only for the 101^st place in the list. Due to Western sanctions, Yandex can no longer upgrade the system. Both machines have been used to train AI models, including YandexGPT, Russia's leading large language model. Yandex's third supercomputer, Galushkin, is located in Vladimir.

So far, the company has not disclosed whether its supercomputers were affected by the strike, though judging by the massive fire caused by the drone incident, the systems' chances of survival are low. The potential damage to Nvidia-powered computing infrastructure could be extremely painful for Russia's AI industry, which is already constrained by restrictions on exports of advanced AI accelerators and servers to Russia. If the machines are indeed destroyed or damaged, many of its elements may be lost forever, and Yandex will be forced to use Chinese infrastructure for future model training.

The attack also disrupted Yandex Cloud infrastructure, so the company is recommending customers use alternative zones. Although Yandex claims that its key consumer services remained operational, users reported problems with Yandex Mail, Disk, Documents, Pay, and Market. Other affected services reportedly included Cian, Litmarket, Russian Railways, Spartak Moscow, cryptocurrency exchange Rapira, Astral, and the 1C business solutions. Corporate systems operated by T-Bank, Ozon, and Wildberries also experienced disruptions, according to Meduza. A Moscow-region bus operator suspended online ticket sales, while Detector404 registered 58,268 complaints over 24 hours. Many Russian media outlets, including state propaganda RIA Novosti, Vesti, and Interfax, were also down following the attack on 'infrastructure partner,' reports RBC.

It is noteworthy that the Yandex data center occupies former premises of the Sasta machine-tool factory, where Yandex established operations in 2014. Sasta manufactures industrial equipment supplied to various Russian manufacturers, including defense-related enterprises, and is therefore under Western sanctions. Regional authorities reported a fire at an industrial facility following the attack, but it remains unknown whether the intended target was the factory or Yandex's computing infrastructure. Still, no matter the target, Ukraine's sanctions against Russia's economy and military complex seem to be generally more efficient than those imposed by the West.

The incident follows Russian strikes against Ukrainian telecommunications and computing facilities. Since September 23, attacks have damaged or destroyed data centers that belong to at least eight Ukrainian companies, including Virtual Systems, MiroHost, CosmoNova, DataGroup, and CityHost. Among other websites, popular torrent trackers 1337x and NordicQuality temporarily went offline after servers that hosted them were damaged.

Ukraine is consequently moving some digital infrastructure underground, while Russian businesses are discussing deployments in countries considered friendly by Moscow, which is probably limited to just a few states, including China.

A little less than seven months since signing a memorandum of understanding (MOU) concerning memory supply and collaboration in various fields with Samsung, AMD's chief executive Lisa Su is visiting South Korea to secure additional supply of HBM memory for AI accelerators, reports Chosun.biz. Meanwhile, Samsung is seeking a broader partnership and 'hopes to turn its memory supply relationship with AMD into foundry' chip production orders, the report claims.

"We are going to talk about our broader partnership," said Lisa Su when asked by reporters about what she planned to discuss with Samsung's executives. "We have many partners at Samsung."

Before visiting Samsung headquarters, Lisa Su and Jack Huynh, senior vice president and general manager of AMD's Computing and Graphics Group, attended the AMD Gamer Day event where Su and Huynh answered some questions from South Korean journalists and called local memory makers 'important strategic partners,' something that reflects the significance of data center-grade DDR5 and HBM memory for the company's AI and data center businesses.

"Samsung Electronics and SK hynix are key supply-chain partners for AMD," Su said, Chosun reports. "AI demand is extremely high, so we are planning our long-term supply chain with our partners. […] It is important to plan three to five years ahead with our partners."

The non-binding MOU that AMD and Samsung signed this March covered four areas and remained in effect for a period of three years:

• Supply of next-generation memory products, including HBM4 and advanced DDR5;
• Co-development and optimization of memory solutions for Al and high-performance computing systems;
• Exploration of foundry manufacturing opportunities for the future AMD platforms;
• Co-optimization of advanced packaging and related semiconductor technologies.

While Samsung has become a principal supplier of HBM4 for AMD's Instinct MI400-series accelerators, expansion of collaboration beyond memory supply is considerably more complicated, as it involves considerable efforts to design chips for Samsung Foundry's process technologies as well as risks associated with a product ramp at a new contract chipmaker. Truth to be told, AMD already uses Samsung Foundry and UMC to make its "ICs in the form of programmable logic devices" however, moving production of more advanced products to Samsung is risky. Meanwhile, Samsung badly needs big customers like AMD, and the latter's dependence on HBM supply certainly gives the former leverage.

"If we transition the production of some of our products to new manufacturers, we may experience delayed product introductions, lower yields or poorer performance of our products," AMD wrote in its most recent Annual Report.

AMD has already started shipments of its Instinct MI455 accelerators with 432GB of HBM4 memory onboard as well as rack-scale Helios AI systems to interested parties.

"We have started shipping our next-generation MI455 and Helios systems," Su told journalists, according to Chosun. "These are all systems that use HBM4."

So, it looks like the company is negotiating for more memory supply. The question is, will it take a risk and adopt Samsung Foundry for something more serious than niche programmable chips in a bid to get more high-bandwidth memory and sell more expensive AI accelerators? Only time will tell.

The first-ever criminal case involving AI-assisted music streaming fraud has concluded, with an American citizen getting 18 months behind bars and an $8M fine. North Carolina resident Michael Smith, 54, was charged in September 2024, pleaded guilty to conspiracy to commit wire fraud in March 2026, and was sentenced earlier this week. The lengthy case, investigated by the FBI, involves some extraordinary numbers. In one example cited by the DOJ, in April 2023, Smith earned royalties from 80.9 million streams of his AI-generated songs by bots with family accounts. That’s nearly 9x more than Taylor Swift’s entire music catalog earned in the same period.

“By flooding music streaming platforms with automated bots in the place of consumers, and fake songs in the place of creativity, Smith robbed millions in royalty payments from genuine artists and their fans,” said U.S. Attorney Jamie McDonald. “This Office is committed to ensuring the integrity of all markets, and protecting the public from those who use super intelligence for fraud.”

Smith’s operation scaled massively between 2017 and 2024. He created thousands of fake streaming accounts on services like Spotify, YouTube Music, Apple Music, and Amazon Music. At the same time, he used AI to generate music to host on these services. The idea was to get his army of bots to continuously stream his own AI songs, and thus profit from royalty payments.

As mentioned in the intro, the scale of Smith’s fraudulent operation would become huge. As many as 10,000 bots would continuously consume streams of his AI-generated music. He created “hundreds of thousands of AI-generated songs” to make sure it wasn’t just a few tracks on repeat, and make the music appreciation seem legitimate. During the fraud’s lifetime, Smith’s AI-generated music tracks were streamed billions of times, says the court report. Most importantly, in terms of results, prosecutors say Smith managed to net more than $8 million in fraudulent royalty payments.

The Taylor Swift streaming success comparison sheds some light on the audaciousness of Smith’s scheme. According to the U.S. Attorney's Office, Southern District of New York PR, “in April 2023, the entire catalogue of Taylor Swift received 9.3 million streams on YouTube Music from family plan streams, while in the same month, Smith’s Bot Accounts used family plans to fraudulently stream his AI-generated music 80.9 million times.”

Likely emboldened by the rapid flow of royalty cash willingly forwarded by the streaming giants, Smith certainly wasn’t flying under the radar when caught. Now Smith faces 18 months behind bars, then two years of supervised release, and an order to pay $8,091,843.64 in forfeiture.

A master’s student from the Norwegian University of Science and Technology developed a fingerprinting technique that identified gamers from their mouse and keyboard input patterns as part of their thesis. u/Magga_ shared the results of their study on the r/GlobalOffensive subreddit, where they tracked the mouse and keyboard signals from more than a thousand players and then correlated them to each other. Using this technique, they were able to fingerprint unique users and match them to specific accounts, even those that used multiple smurf accounts.

u/Magga_ said that his technique was able to determine unique players 100% of the time from the mouse dataset, while keyboard fingerprinting was able to pick the right player 98% of the time. Since both metrics measure entirely different movements, combining them makes for highly accurate detection. There are concerns that unrelated people could potentially have the same play style, especially as Counter-Strike 2 still has over 1.2 million players at peak, resulting in false positives. However, u/Magga_ said that even though complete strangers can have similar signals for either mouse or keyboard, there’s very low statistical probability that two people would have similar mouse and keyboard habits.

“Across pairs of strangers, the correlation between how alike their mouse habits are and how alike their keyboard habits are is just 0.11, where 0 means unrelated and 1 means they always go together,” the researcher wrote. Interestingly, they faced an obstacle during the testing of their method for a time after it kept on returning a number of “false positives.” But once they investigated deeper, u/Magga_ found out that these accounts were actually related to each other, revealing unknown account pairs and even connecting four different accounts to one person.

They even claimed that this method of fingerprinting accounts and matching them to specific players isn’t a proof of concept but a working system. It’s designed to take in demos and link accounts continuously, allowing it to build a reference system with every uploaded match. Despite the massive number of matches and players that it must handle, it’s designed to work on a single 20GB slide of an Nvidia A100 GPU. Still, the author said that the amount of data they tested on it is pretty thin, and they want to see it in action on the real population size of CS2 players. Another limitation they noted is that shared accounts would break the system.

While this system might be a good idea to help game developers find cheaters and prevent them from ruining the online gaming experience, it also raises issues regarding privacy and ethical use. Some players have been criticizing invasive anti-cheat measures, which led to Riot dropping its controversial always-on anti-cheat requirement. There were also complaints when Valorant soft-bricked $6,000 cheating hardware, with some saying that this was a step too far for the developer. The researcher understood the implications of their anti-cheat technology but said that it’s up to the game developer how it would implement this anti-cheat measure.

“Cheating once as a kid should not bar you from a game for life, so I think a ban passed on through a link should expire after a set period,” u/Magga_ said. “Where to draw that line is a real question, but it is a policy choice, not a limit of the method.”

AMD's upcoming EPYC 9006-series 'Verano' CPUs that are specifically designed for AI servers will use an all-new SB1 socket and will require different cooling systems than other processors in the lineup, according to a listing at Dynatron, a leading maker of server coolers, discovered by InstLatX64. The new SB1 socket will be smaller than SP7 and SP8 sockets for other Zen 6-based EPYC CPUs and will therefore have different power and cooling needs.

AMD's Verano is quite different from conventional EPYC processors. The CPU will feature up to 72 Zen 6 cores operating at up to 5 GHz and a massive 24-channel LPDDR5X memory subsystem that uses replaceable SOCAMM2 modules. AMD positions Verano as a host processor for AI servers, where CPUs primarily orchestrate workloads running on AI accelerators rather than provide maximum general-purpose performance themselves. Such specialization could explain why AMD developed SB1 instead of using SP7, which accommodates up to 256-core EPYC 'Venice' processors, or SP8, designed for models with up to 128 cores. Meanwhile, AMD has not disclosed SB1's specifications, dimensions, or capabilities just yet.

In fact, given Verano's highly specialized role as a host processor for AI accelerators, AMD may not need to offer a broad range of Verano SKUs typical of its general-purpose EPYC families. If Verano is deployed in systems with a predetermined number of Instinct accelerators, AMD could offer just one or a small number of CPU configurations to ensure a consistent ratio of CPU cores, memory bandwidth, and host-to-accelerator connectivity per GPU and simplify power, cooling, and system qualification, something that Nvidia does with its Grace and Vera processors.

If AMD decided to take a page from Nvidia's book, this explains why it intends to use a dedicated SB1 socket instead of using existing ones. Rather than supporting a broad range of CPU configurations compatible with SP7 and SP8 sockets and systems, SB1 could be optimized for one or a few CPU SKUs, their 24-channel LPDDR5X memory subsystem, and a particular system topology. Note that AMD has not announced how many Verano SKUs it plans to offer, so consider our thoughts speculation for now.

Dynatron's preliminary SB1-4U-Active cooler provides the first indication of what cooling Verano will require. The 4U unit measures 128.05 × 106.6 × 130.7 mm and uses an aluminum fin stack combined with a vapor chamber and heat pipes. The unit is equipped with a double-ball-bearing fan that operates at up to 6,000 RPM and delivers up to 91.7 CFM of airflow, which makes it a quite powerful device.

It is noteworthy that these specifications are virtually identical to those of Dynatron's J26 4U cooler for AMD's much larger SP7 CPUs, to the degree that even the dimensions are similar. This may either indicate that Dynatron reused the J26 design for SB1, or simply copied and pasted J26's specifications onto the SB1-4U-Active cooler's product page to use them as placeholders until the actual cooler is finalized.

For now, Dynatron does not specify the cooler's maximum supported processor power, so its listing cannot currently be used to determine Verano's TDP with confidence. Nevertheless, a large vapor-chamber-based 4U active cooler suggests that Verano will be a server processor with a rather high power consumption despite having considerably fewer cores than the higher-end EPYC 'Venice' CPUs for general-purpose workloads.

AMD plans to launch Verano in the second half of 2027.

It's a reasonable assessment that everyone and their dog is tired of Electron-based desktop apps that pack a full web browser and waste gobs of RAM. Spotify lovers now have a reprieve from the memory blues in the form of the Spotifast client.

Spotifast is an OS-native application written in Rust, with an emphasis on lowering memory consumption and CPU utilization. The author claims that the app ought to use 150-200 MB of RAM, compared to the usual 600 MB to 1 GB that the official application chews through.

By default, Spotifast offers a reasonable facsimile of the standard Spotify UI, though with additional features including an EQ-like visualizer on the play bar, and dozens of keyboard shortcuts and playlist management features.

The alternative client also packs a bevy of add-ons, including dark, light, and custom themes, Milkdrop visualization support, and a Winamp mode that turns Spotifast's UI into the much-beloved player.

There's even support for Winamp skins in the .wsz format, too. Those features may be tugging at nostalgia, but they're also a breath of fresh air in this age of excessive minimalism.

To use Spotifast, you'll need to have a Spotify Premium account, as presumably the ad delivery of the free version is tied to the official client. Once installed, you'll configure Spotifast as a connected device and grant it permissions to your account.

For now, there's no support for lossless audio, but that's subject to change — the librespot library underpinning Spotifast's playback doesn't yet support DRM'd lossless files, but might add the feature at some point, as popular demand seems quite high.

You can download Spotifast for Windows, macOS, and Linux and let your machine enjoy some additional free RAM. Since the client is quite new, you might run into some turbulence — but development is active and going at a fast clip. Predictably, Spotify even extended a job offer to the author, who said they'd prefer to remain independent.

A fortnight ago we reported on the curious case of top-secret F-35 advanced fighter parts getting swiped by China as a shipment from Australia to the U.S. transited Hong Kong. The decision to route through the Chinese territory was said to be 'inexplicable' at the time. Now, insiders talking to Bloomberg have revealed that a UPS worker missed an important email about securely routing these parts and opted for a Hong Kong transit to hasten the shipping time.

The F-35 parts were said to be sensitive military technology, not just because they were serviceable parts of one of the world’s most advanced fighter jets. These Royal Australian Air Force F-35 stealth fighter cockpit canopy and weapons-bay door were also “coated with radar-absorbing material that enhances their stealth capabilities,” noted the original report. In other words, the stealth coating’s secret recipe may have been more sensitive than the actual airplane parts.

The parts were being sent from Australia to San Francisco for inspection. According to U.S. International Traffic in Arms Regulations, also known as ITAR, certain countries and territories must be avoided when shipping such equipment. Hong Kong, as a special administrative region of China, is on the blacklist.

An email making clear that the cockpit canopy and weapons-bay door should be shipped according to ITAR rules was sent from heavy cross-border freight specialist DSV to global parcel distribution specialist UPS. Sadly, with the shipment leaving Australia late and the UPS agent reportedly not getting sight of the DSV email, reports Bloomberg, mistakes were made. Instead of routing from Australia via South Korea and/or Taiwan, the UPS agent pushed it through HK for speed. All this because “The DSV email may have been sent through a different IT system than the one used by the UPS agent,” according to Bloomberg’s unnamed sources.

Now these advanced allied warplane parts are in China’s hands, and there have been no subsequent reports indicating it admits to having them or intends to release them.

A series of unfortunate shipping events (updated)

• Late May 2026: Australia sends F-35 cockpit canopy and weapons-bay door to the U.S. for inspection, possible repair, or disposal.
• On its way to the U.S., the cargo plane stopped in South Korea.
• Then the F-35 parts consignment was diverted through Hong Kong "inexplicably," says the original source.
• NEW: Reportedly, an email from DSV that notified the UPS agent that the consignment had to be handled under ITAR rules never reached the correct person.
• NEW: The UPS agent noticed the parts shipment from Australia was late/delayed, so they decided to ship it through Hong Kong to save time.
• The Chinese government took possession of the parts in Hong Kong.
• China hasn’t returned or released the parts. The Chinese Foreign Ministry in Beijing said it is unaware of the missing parts.

The details of the missing shipment were embarrassing for the Pentagon and Lockheed Martin. Bloomberg’s new information shifts the blame somewhat to a shipping firm's miscommunication. Even though it has now been explained, the error seems pretty amateurish, though. Bloomberg contacted DSV and UPS spokespersons, but neither provided comments.

Though the Pentagon has sought to downplay the missing parts incident and characterize them as “unserviceable F-35 components,” others don’t shrug off the loss so lightly. Bloomberg quoted a representative from the non-partisan Government Accountability Office who thought the loss was “a big deal” that would see Chinese reverse engineering teams celebrating.

SpaceX is reportedly looking to raise $40 billion to acquire Nvidia AI processors in a bid to expand its compute capabilities, reports the Financial Times. The financing could combine $10 billion in bank loans with $30 billion in investment-grade debt and may be completed in 2027, though discussions are still at an early stage and there is no guarantee that a transaction will materialize. If it does, then SpaceX's xAI will get $40 billion worth of Nvidia Rubin generation hardware, which includes AI accelerators.

Although Bloomberg reports that the proposed financing would be used specifically to purchase Nvidia AI accelerators, since xAI has traditionally bought servers or rack-scale AI solutions from Nvidia and its partners, it is likely that the company will continue to do so rather than opt to get accelerators and then build AI servers itself. Assuming that xAI indeed gets Vera Rubin NVL72 systems at around $8 million per unit, then for $40 billion it is going to get approximately 5,000 or so machines with roughly 360,000 Nvidia Rubin AI accelerators inside. At this point, it is unclear whether $40 billion is xAI's entire new compute capacity budget for 2027, or if the company plans to spend more.

The scale of xAI's Nvidia deployments is already substantial. Elon Musk said last month that xAI's Colossus 2 cluster currently houses 110,000 Nvidia GB200 accelerators and 440,000 GB300 devices.

SpaceX intends to obtain approximately $10 billion from banks and raise another $30 billion on the investment-grade debt market. Apollo Global Management is expected to take the leading role in arranging the financing, while bond manager Pimco is among a limited number of lenders discussing participation, the report claims. The transaction is currently expected to close sometime in 2027.

Apollo already has considerable exposure to this market and has already participated in financing the buildout of Elon Musk's AI infrastructure. In August, Nvidia teamed up with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish financing platforms designed to attract more than $500 billion in third-party funding for AI infrastructure. Bloomberg reports that Apollo had previously arranged a $7 billion financing deal with Musk's xAI that financed Nvidia hardware intended for the company's Colossus 2 data center near Memphis.

No parties mentioned in the story commented on the potential deal.

Two former Groq engineers are suing Groq’s former board and former CEO Jonathan Ross, alleging the board handed over employees and company technology to Nvidia in a $20 billion deal. The proposed class action, filed in Delaware’s Court of Chancery by Benjamin Serebrin and Joshua Rubin and unsealed Monday, alleges the deal, with a $17 billion license fee for all backers and a separate $3 billion Nvidia stock pool for engineers who transferred, kept billions from other shareholders. Meanwhile, Groq is planning to deploy its own technology, now Nvidia’s Groq 3 LPX, the Financial Times reports.

Nvidia’s annual report (10-K) books $14.4 billion of the license as goodwill “primarily attributable to the workforce and future development of the licensed technology” plus $2.5 billion for the technology itself. The plaintiffs concede that “no Delaware decision has directly answered the question this case raises,” but the deal is already under a reported Department of Justice (DOJ) inquiry. The lawsuit’s outcome has implications for future license-plus-hire deals. Groq told CNBC the suit is “meritless” and said its licensing agreement with Nvidia “delivered exceptional value for Groq, our investors, and our employees.”

The deal involved both the LPU technology and the people who built it, including Ross, a former Google TPU engineer who founded Groq in 2016. The LP30 has 500MB SRAM per die and 150 TB/s bandwidth, uses Samsung’s 4nm process technology, and is rated by Nvidia at up to 1.23 FP8 PFLOPS. A single LPX rack has 256 LPUs with 128GB SRAM, 40 PB/s, and 315 FP8 PFLOPS in aggregate, as a decode co-processor for Vera Rubin NVL72. The LP30 appears to be the next-gen LPU Groq roadmapped in August 2023 on Samsung’s SF4X process with its first-gen Tensor Streaming architecture.

During Hot Chips in August of this year, Igor Arsovski, Groq’s former chief architect and now Nvidia VP of hardware, called the occasion “a pinch me moment for the Groq team that’s now integrated into the Nvidia group.” The rack was already in production at the time, Arsovski said. This supports the complaint’s factual premise, but does not answer the legal question about whether more is owed.

Nvidia’s 10-K notes indicate that “no customer contracts, existing products, or equity interests were purchased” with “$13.0 billion paid at closing and $4 billion, inclusive of imputed interest, payable within one year.” The goodwill number, as reported above, is about 85% of the $16.9 billion Nvidia booked and around 5.8x the value of the technology asset. Nvidia put significantly more value on the LPU design team and the technology’s future development than on the design itself.

Groq said when the deal was announced that it would continue “to operate as an independent company,” and it joined the Nvidia Cloud Partner program in August. Also in August, “Groq LLC” had a $350 million Series A and a $3.5 billion valuation after raising $650 million in June. Before the deal, in September 2025, the valuation was put at $6.9 billion after a $750 million round. Groq says it now operates 13 data centers and expects to scale from 54 to 200+ MW in 2027. Nvidia was slated to participate in the Series A, which Groq says will support those seeking “clusters of NVIDIA accelerated computing.”

Groq also said in August that it is “among the first adopters of NVIDIA Groq 3 LPX” with Nvidia’s Vera Rubin NVL72, deploying with Dell. Those racks are built on the LPU technology Groq licensed to Nvidia, and Groq claims to be “the only team with hands-on experience operating LPUs in production at scale.” The Financial Times said Groq “pivoted entirely to AI cloud computing, dropping its chip design efforts.”

The suit alleges that the Groq board was conflicted, failing to secure the best terms for every shareholder and denying some of them a vote on the deal. Specifically, it says Ross and other top Groq employees were allowed to “take a discount on those shares and be paid separately for following the technology to Nvidia.” According to the suit, Nvidia hired “nearly all” of Groq’s engineers, as many as 200. However, the final payout is alleged to have ignored potential upside and synergies with Nvidia.

The plaintiffs also say that because Nvidia didn’t buy Groq outright, the $17 billion license payment was taxable as income at Groq, and that the Series A valued the remaining Groq above the price paid to the shareholders who were bought out. They say four “conflicted funds” on Groq’s board, BlackRock, Social Capital, Infinitum, and Disruptive, which are not named as defendants in the case, engineered that gap and profited by staying with Groq after the buyout.

As reported by Axios in December 2025, though, sources close to the deal said that most shareholders would get per-share payouts “tied to the $20 billion valuation.” Around 90% of employees would join Nvidia, with vested shares paid in cash and unvested shares paid in vesting Nvidia stock. Staff who stayed with Groq would be paid for vested shares and get a package including “economic participation in the ongoing company.”

As for the DOJ, the New York Times reported in September that the department sent Nvidia a formal request for information with a fine being possible. Nvidia said at the time that the Groq story was “a prime example of the American system working as designed.” The deal did not go unnoticed by some senators who, in February, put it under the “reverse acqui-hire” deal label. Federal Trade Commission Chair Andrew Ferguson said in January that the agency is “beginning to examine these acqui-hires to make sure they are not an attempt to get around” its merger review process.

The litigation comes not long after Nvidia’s agreement to acquire Hugging Face (HF) a month ago, which included a purchase price and equity for HF employees who join Nvidia, a similar split. The deal is waiting on approval, but unlike the Groq deal, it is an outright purchase of the company. When the Groq deal was announced, Nvidia CEO Jensen Huang told employees in an email, obtained by CNBC, that while Nvidia was adding Groq staff and licensing its IP, “we are not acquiring Groq as a company.”

The legal question on the Groq deal remains open, and more details will come out as the case proceeds and the defendants respond. As for the LPX customers, Nvidia calls Nebius the first AI cloud to adopt LPX and says the racks will be online there later this year. Looking ahead, Nvidia has the LP35, with NVFP4 support, alongside the Rubin Ultra and LP40 for Feynman on its roadmap.

While Amazon's big sale has finished, Walmart and Best Buy are delivering the goods with huge deals on two different gaming PCs. Right now, you can pick up the ABS Cyclone M Aqua with an RTX 5060 for $999 at Walmart, or go for a CyberPowerPC rig with an RX 9060 for $999.99 at Best Buy instead.

● Grab the ABS machine at Walmart here

● Grab the CyberPowerPC machine at Best Buy here

These are budget-focused machines, and while some compromises do have to be made, the specs are pretty formidable for their price point. The ABS machine is fitted with an Intel Core i5-14400F, still a popular choice in lower-end machines like this one, along with 16GB of DDR4-3200 memory, a 1TB SSD, and most importantly, an Nvidia GeForce RTX 5060 8GB.

The RTX 5060 means you're getting high frame rates at 1080p, even with the highest graphics presets. DLSS support, meanwhile, gives you full access to Nvidia's bag of tricks, including multi-frame generation, which'll prove useful if you decide to go for 1440p or need an AI-generated push.

You also get an additional 2TB SSD with this deal, a Verbatim 2TB Vi7000 offering Gen 4 speeds. It's unclear whether or not this comes pre-installed, but installing an M.2 drive is an easy process, even for a beginner.

On the flip side, you could go for the CyberPowerPC machine at Best Buy instead. It'll cost you 99c more, but instead you get a rig that includes the AMD Ryzen 7 8700F. This is an AM5 CPU, so you are better future-proofed here than the LGA 1700 socket used for the 14400F should you decide to upgrade the CPU later. It's also a newer, faster CPU, running with a 4.1 GHz base clock speed, boosting up to 5 GHz.

You also get the AMD Radeon RX 9060 here, also with 8GB VRAM. The RTX 5060 is faster, but this GPU isn't far off it in terms of raw power, and it'll still work well at the 1080p range you'll be focusing on with these specs. You're also getting faster DDR5 RAM here, also 16GB, with a 1TB SSD for Windows and any games.

These are both good machines for 1080p gaming, with a price that puts them below $1,000. Given the current market, finding any rig priced this low with modern components is a struggle. The ABS Cyclone M Aqua for $999 is a good option with the RTX 5060, with DLSS support giving you an additional edge in-game, along with that extra 2TB SSD.

That said, the CyberPowerPC rig for $999.99 is a solid alternative, with newer components and better options for upgrades into the future. Either one will suit you fine for modern gaming, but these prices aren't likely to stick around for very long.

You may not be able to get your hands on an affordable graphics card or DDR5 RAM, but one of the best and biggest upgrades you can still make to your gaming PC setup is a relatively affordable monitor upgrade. If you've not already taken the leap, OLED displays are the new most-wanted panel type for a gaming screen, thanks to their impressive response-time performance, inky black contrast, and outstanding colors.

Sitting at its lowest price in at least the last thirty days, LG's UltraGear 45GX900A-B 45-Inch OLED gaming monitor costs just $884.99. This is a far cry from its initial launch price of $1699.99, where you're saving almost 50%. OLED gaming monitors have come down substantially in price over the last couple of years as the technology is more widely adopted and fears of fast OLED burn-in subside.

● Check out this deal at Amazon

The LG UltraGear 45-inch OLED monitor (model: 45GX900A-B) is a curved gaming monitor with a very tight 800R curvature, paired with a WQHD (3440 x 1440-pixel) resolution and rapid 240Hz refresh rate. The response time for this OLED panel is a mere 0.03ms, making movement and motion in-game incredibly smooth. The other benefits of an OLED panel are a very high contrast ratio of 1,500,000:1, which produces true blacks. This monitor is compatible with both AMD FreeSync and Nvidia G-Sync for ultra-smooth, tear-free visuals, and is also HDR400 certified. The screen also outputs up to 1300 nits of peak brightness, with up to 98.5% of DCI-P3 color coverage.

LG's UltraGear 45GX900A-B is also a great screen if you want to connect more than just your gaming PC. For current-gen console gamers on the Xbox Series X and PlayStation 5, there's an HDMI 2.1 port with support for variable refresh rates, plus DisplayPort 1.4 and USB Type-C with 65W power delivery.

Taiwanese prosecutors have indicted 10 company leaders over Texas Instruments (TI) and Analog Devices (ADI) military-grade chips allegedly sold to China, the United Daily News reports. Orders for the chips allegedly used the name of Taiwan’s own defense research institute and were exported as “Made in Taiwan.” Investigators believe the chips ended up with Chinese research units building missiles and military radar.

The chips are high-speed military-industrial parts found on Taiwan’s strategic high-tech commodities list. The U.S. Commerce Department does not allow these to be shipped to China, Hong Kong, or Macau, and buyers must provide an end-user statement before the manufacturer ships. The equipment was cited to include radar receivers, electronic reconnaissance, jammers, ultrasound, communications gear, and antenna arrays.

Former employees and trading partners of three Taiwan distributors for ADI and TI, two large U.S. analog and mixed-signal chipmakers, used their own companies to order the chips. The orders went under the National Chung-Shan Institute of Science and Technology’s (NCSIST) name or in the names of other Taiwanese companies to claim use in Taiwan. The orders included written statements, which prosecutors say were false. The statements promised no export or re-export to U.S.-sanctioned parties, that they accept being bound by U.S. export regulations, and that the end-user declarations are required for sales outside of Taiwan. The distributors involved were duped, prosecutors say.

The parts themselves were manufactured in the U.S., Thailand, the Philippines, and South Korea with no processing in Taiwan that would change their country of origin, but were declared “Made in Taiwan” to fool customs officials. The buyers included Hong Kong companies, or those effectively controlled from mainland China, and the defendants profited from the venture. The three main groups of defendants made more than NT$92.75 million, NT$135.83 million, and NT$108.11 million, with four others earning from several hundred thousand to NT$6.41 million.

The charges include fraud, forgery, and Money Laundering Control Act offenses, with 2 to 10 years sought for each defendant. Prosecutors also asked the court to confiscate anything gained from the plot. The case for heavy sentences, prosecutors argue, lies in the products trafficked: military components seriously harm Taiwan’s national security and could instill distrust of Taiwan in the U.S. The trial, to take place in the New Taipei District Court if history is any indication, has no court date announced. Neither ADI nor TI has a comment on record about the case.

TI parts were previously found in Russian weapons in 2024 when third parties bought them for Russia’s military. Earlier this year, Supermicro co-founder Yih-Shyan “Wally” Liaw was charged in the U.S. over diverting servers with Nvidia chips to China, and has pleaded not guilty. In a separate Taiwanese case, Keelung prosecutors seized 50 Supermicro servers and detained three people. Ultimately, nine were indicted in August, including an Nvidia Taiwan manager and two of Supermicro Taiwan’s staff. Eight of them were charged with breach of trust and document forgery.

The chips in this case are not AI accelerators but rather radar and RF parts with practical military applications. The charges likely fall under fraud and forgery because breaking U.S. export control laws is not a crime in Taiwan. Taiwan’s own Foreign Trade Act carries prison terms for exporting listed high-tech goods to controlled areas without a permit. However, China counts as one of only 12 kinds of chipmaking equipment. A 2019 amendment raised fines for false origin labeling and illegal high-tech exports to protect the “Made in Taiwan” brand.

Taiwan’s economy ministry promised earlier this year to amend the Foreign Trade Act again to tighten controls on AI chip exports to China. Amendment advocates want China added as a controlled region, saying the current rules fall short of Taiwan’s trade cooperation agreements with the U.S.

Controversially named Reddit user u/ai_art_is_art posted on r/creativecloud about their suite of alternatives for the most-used Adobe products recreated using Claude. Their post has since been removed, but their comment with links to their GitHub page remains. PhotoCraft, LightCraft, ImageCraft, FilmCraft, and more are equivalents to multiple Adobe products and are available for download, but commenters warn of safety concerns and actual functionality.

Adobe’s dominance in creative tools is nothing new; it has been the industry standard for decades, with entire workflows depending on it. The Redditor wanted to create an open-source version with all the familiar layouts and functions for each product, planning to reach 100% parity within a month. The projects were all built in Rust, as the creator emphasizes multiple times in their GitHub repositories.

There is no shortage of free alternatives to Adobe products; however, the alternatives often have largely different layouts and workflows. Affinity does its best to compete with Photoshop, and it doesn’t fall short; however, Affinity still has a learning curve, and it doesn’t offer an integrated suite of products like Adobe. It seems that the developer’s goal with this is to unify the experience, unlike having multiple free creative products all built by different developers. The developer is also focused on AI integration and has also made it so that the creative software is agent-native, allowing AI to easily use the tools and menus over a JSON control channel and an MCP server, essentially intending for users to let the AI create art directly using the software.

This project has had mixed reactions, with some saying it is stealing from Adobe and warning the developer of a lawsuit; responses to those warnings state that it is a clean-room reimplementation and no Adobe source code was used or copied in the creation of the software. One commenter sarcastically responded to a post on X sharing the developer’s Reddit comment: ‘“Something really cool is happening:” Piracy,’ while others are in support, saying Adobe deserves this due to its shady buisness practices.

Skeptics also warn of safety concerns with vibecoded software; a single person has generated potentially hundreds of thousands of lines of code for multiple pieces of software very quickly, and verification of the code becomes a mountain of a task for a developer without a team; a 2026 State of Code Developer Survey of 1,100 professionals by Sonar indicates that 96% of developers do not fully trust AI-generated code. Privacy problems, malicious code, unsafe file handling, and more are among the list of concerns.

Excited testers say this could be a legitimate Adobe alternative, but others claim it may just be more vibecoded AI slop. It remains to be seen how many will collaborate to improve upon this project and fill in the missing features that it plans to replicate.

A Keurig smart coffee maker owned by a self-described IT pro’s parents sent 1TB over their Wi-Fi in 10 days, saturating an access point on its own, user @NomadsGalaxy said in an X post. Nomad added that most of the traffic “didn’t escape my network” but it’s unclear what data it was trying to send, even though there was a temptation “to scan it’s [sic] packets with Wireshark and other tools.”

Nomad, a Technical Field & Community Specialist at 3D printer maker Prusa with more than 10 years of IT experience, tagged @Keurig and uploaded a UniFi screenshot, asking what the coffee machine could possibly be uploading. The issue was detected after his parents asked why their network was so slow. He said that he would be unplugging his dad’s machine and getting his parents a new one.

The screenshot names the device starting as “Keurig” on his “Appliance network” with traffic indicated at 9.94GB down and 1,008.45GB up, over the connection of 10 days, 9 hours. It was apparently disconnected the evening of Oct. 5, and he later suspected it was a bug. The amount of data indicated by the screenshot’s numbers suggests an average upstream of about 9 Mbps, which could swamp an access point. This comes out to about 97GB a day, about 27 times the amount of the LG washer’s 3.6GB a day reported in 2024.

The model in question, as linked in a reply, is the K-Supreme SMART with BrewID, according to its product page and Use and Care Guide. This guide details app control for remote brew, remote on and off, and scheduled brews. It also covers Alexa and Google Home voice control. BrewID recognizes Keurig-made pods over Wi-Fi, perhaps fueling his speculation that “it’s just DRM waiting to be enabled,” and applies the roaster’s recommended settings. On this model, it works over 2.4GHz Wi-Fi, presumably for range and compatibility, which does limit its maximum bandwidth.

Later in the X thread, Nomad acknowledged that the UniFi had not reported an actual 1TB upload, so he concluded it was mostly local junk data. The coffee maker was already on a separate IoT network with his parents’ smart devices, but not much was blocked. Rebooting the device and placing it in a segregated VLAN solved the issue, at least temporarily. He did not make any attempts at packet capture, opting to keep it safely offline rather than running captures. He recommended that Keurig fix the potential flaw in the device’s network stack to prevent such issues in the future.

According to the pykeurig GitHub project, which allows Home Assistant integration, information sent to the cloud includes power state, brew state, pod recognition result, and the software version. Keurig’s own open-source notice lists Microsoft’s Azure RTOS, an off-the-shelf operating system and networking stack for IoT. The type of data sent is small, so 1TB does read as a malfunction, but the proprietary firmware isn’t public.

The X screenshot also shows the radio’s MAC address with the block registered to Jabil on Feb. 18, 2021. Jabil’s site lists Wi-Fi and Bluetooth expertise, RF and antenna design, IoT embedded modules, and connected appliances among its capabilities. Keurig has previously listed Nypro, a Jabil subsidiary, as a partner. This does not confirm the origin of the hardware or how the firmware works.

SMART brewers keep 14 days of brew history and sync it once connected, with brews of Keurig-made pods earning points, according to the Keurig Perks FAQ. The Boston Globe reported in 2022 that Keurig shared brewing data with the brands that sell K-Cups, with plans for more personalized marketing.

The event comes at a time when users and privacy advocates are already upset with clandestine data gathering by IoT devices, with LG being a particular focal point in recent years. Last month, Gamers Nexus and security researchers used packet captures and firmware analysis on certain LG TVs.

LG told Tom’s Hardware its TVs don’t record conversations unless voice features are turned on, though in standby they listen for a wake word if that feature is enabled. It confirmed the local network scans, adding, “This is a standard function commonly provided by smart TVs and smart home devices.” In that case, actual traffic was captured, and that was part of an intended feature rather than an apparent malfunction.

Currently, no comment from Keurig stands on record for the incident. While the brewer does work without Wi-Fi, many of its marketed features rely on internet access, making the potential flaw a real issue for owners. Nomad and his family are likely revisiting their own smart-device rules. He has said other units could be affected, so more users may encounter the same behavior. That may spur Keurig into offering an official statement or a fix. Either way, the event is a reminder that IoT devices and their manufacturers need to take extra care.

Building a PC is a great experience. We sit there with a spreadsheet and multiple browser tabs, pouring over the best CPUs, the best GPUs, PC cases, motherboards, RAM deals, and many more components.

The package arrives, and we are excitedly tearing into the boxes, putting the parts on the table, and we are ready to build! We reach into the toolkit and dig out the rusty old screwdriver we used to open a paint can back in 2014. We then spill standoffs and screws over the floor, ready for an unsuspecting foot at 2am!

But wait, it doesn't have to be like this! We've all done this, made the mistakes, and now we share my knowledge and that of the Tom's Hardware staff so you don't have to hunt for the Amazon Prime Big Deals.

So tool up, and let battle commence!

• Check out all the PC tool deals on Amazon

Precision Kits

All the gear, and lots of ideas?

You need to start somewhere, and these kits have pretty much every tool that you could need to maintain a PC, all in a handy case. In my office/workshop, I have a general set of screwdrivers for general tasks, and a set of Hoto screwdrivers and bits for servicing my PC and any other parts I review, like motherboards, cases, fans, and more.

Whether you call them Hex or Allen wrenches, this part of our toolbox is often overlooked. Why? Because we get one in every set of flat-pack, DIY furniture that's why! You can get cheap sets of Hex wrenches, but they are ultimately made from a material softer than Play-Doh, or they have the power to strip a head. You need a good set of Hex wrenches, and this set from Wera is awesome.

German-made precision, strength, and a ball head to enable access to awkward screws. Grab this set now, and thank yourself later!

Everyone should own these great electric screwdrivers!

At least five Tom's Hardware editors own a Hoto screwdriver. I am one of them. It should be difficult to extol an electric screwdriver. After all, it is really just a motor that spins and screws / unscrews. But Hoto's new Pixel Drive is easy to glorify!

The main screwdriver chassis is chunky and features a rubberized finish to prevent it from slipping from your hands. The twist power ring offers three levels of torque, and the simple push-button forward/reverse is a joy to use. Throw in a bonus LED light ring, and you are ready to build and maintain PCs and have plenty of power to put up those shelves in the living room. All of the details are displayed on the LED display, so you know how much power you are putting down, and how much the screwdriver has left!

Screw Kits

Don't screw up your next PC build!

Let's be honest. We've all scoured around for a spare standoff or screw to secure a motherboard to a chassis. We've cannibalized other components to ensure that our main rig has everything it needs to keep the motherboard in place and the GPU firmly attached to the case. But what if we just spent less than $10 for over 500 screws?

That's right, for less than $10, we can have 500 screws, stand-offs, and insulation rings to secure every part of our PC.

In the kit, there are:

• Hard drive screws
• Motherboard screws
• Chassis fan screws
• SSD mounting screws
• Insulation gaskets
• High-strength chassis screws (think GPUs)
• M.2 screws
• Flat Phillips screws
• Chassis hand twist screws

I bought myself a similar pack years ago since I deal with motherboards and system components on the daily, and it has proven its worth on more than a few occasions. For less than $10, just throw it into your basket without thinking and have all the screws and bits you need to work on your PC.

Flashlights

Save money on this 'illuminating' flashlight deal

A good flashlight is one of the most rewarding tools that we can own. It lights up the dark, helps us see obstacles and what we are working on, and could be used to signal planes, should you be trapped on the island from Lost.

Air dusters and cleaners

Clean the filth from your PC!

Air blowers/dusters are a popular choice for quickly blowing out fans and filters to remove any collected dust and fluff. They can also blow out the crumbs that linger under your keyboard. Air blowers are a great alternative to single-use compressed air cans.

The Wolfbox MegaFlow 100 (MF100) may sound like a 1990s Euro Rock tribute act, but it has 150,000 RPM of power to blow dust out of your PC at 45 meters per second!

This convenient blower is battery-powered and supports USB Type-C charging. The MF100 fully charges in 2.5 hours and provides up to 100 minutes of runtime on the first setting. The MF100 is small and compact, weighing only 0.66lb, so it can be easily stored when not in use. The MF100 is also supported by a 24-month guarantee and 24/7 customer service.

Not everyone wants to buy an $60 air duster. There are plenty that cost less that still move a ton of air and come with several attachments that are plenty useful for cleaning out your PC.

I clean out my desktop PC once or twice a year and the blower did a great job, but there were times when the amassed collection of dead skin cells, dog and cat hair, and other fluff was too much for my much weaker air duster. So I bought some cans of compressed air, and not the dollar store stuff either! I don't use them often, but they are handy when you need a little more power in a precise point.

Sometimes compressed air or turbo-force USB-powered jet fans aren't enough, and so you must get your hands dirty to get parts of your PC truly clean. Cleaning any electronic components should be done with care. Components aren't as static sensitive as their predecessors but we should take care not to trash our rig.

These nylon anti-static brushes come in a range of sizes and shapes to clean dust from components and inside drive bays, and to keep caked-on dust from your fan blades. It also includes a keycap puller and tweezers to deep clean the harrowing scene that lurks under your keyboard.

The final cleaning product that you need for building and maintaining PCs is Isopropyl Alcohol, IPA. Yes, 99% is overkill; heck, it's medical grade for first aid use, but if you really want to eke it out, get some distilled water and water down your mix to 70%. I don’t because it works well as it is.

My top tip, though, is not to spray it when the components are hot. There is very little risk of fire, but it will evaporate rather quickly. That said, in the electronics hobbyist world, rapidly evaporating IPA is used to identify super-hot chips, typically those that have shorted.

Thermal pastes

Thermal paste etiquette — pea-sized blob, an X, or a smooth layer like peanut butter?

Let's all agree that, however you apply thermal paste, that is the right way, ok? Thermal paste / TIM or thermal pads bridge the hot side of a component to a heatsink or heatpipe, which wicks away heat, keeping the component cool.

Thermal material is essential to keep your system cool, and I asked the team what they use. Our Editor-in-Chief, Paul Alcorn, said that MX-6 is his go-to thermal paste. So I looked around and found this handy kit that contains 4G of thermal paste and six handy wipes. The wipes are essentially isopropyl alcohol on a cloth, and they are used to prepare the surface for the new paste. They will wipe off the old paste, dust, dead skin (ewww) and leave the surface ready for pasting!

If you spot something better, or want to tell me I am wrong, hit the comments!

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AI may be taking our jobs, our RAM, and our storage... but there's always a light at the end of the tunnel. Amazon's Prime Day invariably triggers a rash of discounts at other retailers, and we just found the best SSD deal you'll come across until Black Friday at the earliest. The Teamgroup T-Force G50 Evo is a 4 TB solid-state drive with a PCIe 4.0 NVMe interface that can be yours for only $399.99 at Newegg with promo code FTTF9875 — or around 10 cents a gigabyte — with free shipping, to boot.

• Check out the Teamgroup T-Force G50 Evo 4 TB NVMe PCIe 4.0 SSD at Newegg.

It's reasonable to wonder if 4 TB isn't too much of a drive to buy. It's likewise reasonable to rebut by stating that there's no end in sight to the AI shortages, that prices for NAND and hard drives have been climbing at insane rates, and that various modern games take up 150 GB to 200 GB of space. In other words: the wise course of action is to acquire this while the price tag only contains three digits before the dot.

This unit ought to be capable of pushing 5,000 MB/s in sequential reads and 4,500 MB/s in writes. The endurance rating is quite generous for a consumer drive, at 1,200 TB written, and the quoted MTBF is 1,500,000 hours. These figures mean the drive is likely to last longer than the rest of your computer. Teamgroup backs up the figures above with a three-year warranty, and there's a graphene heatsink resting atop the chips to keep temperatures low and NAND happy.

You can snag the $399 Teamgroup T-Force G50 Evo 4 TB NVMe PCIe 4.0 SSD at Newegg.

Normally, only a madman would even attempt to buy an SSD during a storage shortage. However, the WD Black SN770M 2TB has fallen to $259.99, just 8% above its original launch price. At this price, it is worth considering if your gaming handheld is running out of internal storage.

• Check out the WD Black SN770M 2TB deal on Best Buy

The WD Black SN770M, once one of the best SSDs, is an M.2 2230 drive, making it a perfect fit for popular handhelds like the Steam Deck, ROG Ally, Legion Go, and Claw. Currently, 2TB is the highest capacity available to consumers. Micron announced a 4TB M.2 2230 SSD not long ago, but it is limited to OEM models, so gamers will have to settle for 2TB for now.

The PCIe 4.0 SSD delivers sequential read and write speeds up to 5,150 MB/s and 4,850 MB/s, respectively. It is a perfect fit for modern handhelds that take advantage of the PCIe 4.0 interface. For the Steam Deck, however, which uses PCIe 3.0, the WD Black SN770M is a bit of overkill.

The WD Black SN770M remains a good option for gaming handhelds, even after the introduction of newer models like the Optimus GX 7100M. The SSD strikes a balance between price and performance, especially for the Steam Deck, which is limited by PCIe 3.0.

The WD Black SN770M came out three years ago with an MSRP of $219.99, but it typically hovered around $239.99. During the recent storage shortage, prices surged to between $349.99 and $399.99, so Best Buy's comparison value of $531.99 is heavily exaggerated.

For $0.13 per GB, the WD Black SN770M offers very good value, being only 8% above its pre-shortage retail price. The SSD is among the best deals available if you need a high-performance M.2 2230 SSD for your gaming handheld right now.