A new open-source UEFI tool boots from USB and unlocks significant extra tensor performance on RTX 20, 30, and 40-series desktop and laptop GPUs, making the half-speed AI throttle hack a whole lot easier to try on Windows. No VBIOS flash or patched driver needed: the tool runs from a FAT32 stick before the Nvidia driver loads at every boot, and then voila, the developer’s own laptop RTX 4060 hit 65% higher FP16 math.

The “UEFI pre-driver NVIDIA GPU unlocker,” or nv-uefi-unlocker project, removes Nvidia’s tensor limiter using the community V67 payload with read-back verification. This tricks Nvidia’s signed Booter firmware into opening the write lock on two speed-selector registers, allowing the tensor units to run at full rate. The unlock can now run entirely from a bootable USB drive, on Windows as well as Linux, whereas previously it worked primarily through manually installed Linux modules, with Windows support only experimental. The read-back verification part makes things safer, which was a concern with the experimental builds.

The release ships only scripts and self-built binaries, without any Nvidia firmware in the download. Instead, one of the scripts grabs Nvidia’s public 610.43.03 driver packages, verifies them, then rebuilds the firmware files locally. The project credits Zagitta’s gpu-unlock as its porting source and builds on several other community projects, including the RTX 40 fork gpu-unlock-ada and an earlier Windows EFI tool. Having one tool for the many GeForce owners on Windows should significantly open up the hack to a wider audience. Previously, it was scarier-looking, and project progression is rapid these days with AI tools.

The steps right now involve downloading the release, running that script, and then copying the rebuilt files and a BOOTX64.EFI for booting to a FAT32-formatted USB stick. The unlocker can then be run from a one-time boot menu by using the spacebar within 30 seconds for confirmation. Once complete, things are handed off to the respective OS loader.

The unlocker runs in a firmware stage before the OS loads Nvidia’s GPU driver, which means there’s no need to flash the card’s video BIOS or to modify the driver; as the FAQ puts it, the unlock doesn’t “persist through power loss.” The trade-off is running it again on every boot. The system must be booted in UEFI mode with Secure Boot either off or set to trust a self-signed EFI. For a game’s anti-cheat that requires Secure Boot, the tool “CANNOT bypass this requirement,” a developer team member relayed on Reddit. RTX 20 owners have to run a bundled script once to switch the Windows Nvidia driver into GSP firmware mode, before restarting.

Laptop GPUs were already supported by earlier projects, but here one of the developer’s own test cards is a laptop GPU, and laptop results are logged card by card. For laptops, the discrete Nvidia GPU must be powered at entry, which means dGPU-only, or MUX, mode is recommended. On Linux distributions such as Ubuntu, runtime power management can power down the GPU when idle and silently erase the unlock. The English FAQ covers workarounds for this, with instructions and guidelines for other situations.

Compatibility otherwise includes RTX 20-series support listed as “fully compatible; some models have known issues,” while RTX 30-series cards are “fully compatible,” and the tool is “fully compatible on laptops and desktops” using RTX 40-series cards. The GTX 16 is “theoretically compatible” with verification pending, but other cards, including pre-Turing, the GA100, and RTX 50-series cards, are unsupported. The project routes support by chip family, so a card being covered doesn’t mean that specific card has been tested. Cards verified by the tool’s own Windows results are listed in the table below.

Results compare each card before and after the unlock on the same test, but the tests differ from row to row, so they shouldn’t be compared across cards.

The developer’s own desktop RTX 2070 went from about 34 TFLOPS in FP16 matrix multiply at 8192 to around 62 TFLOPS in the screenshots below.

Some caveats still exist, and Zagitta, whose gpu-unlock kicked off the GeForce unlocks, now says in its FAQ that “I don’t run windows and don’t plan to maintain it,” pointing Windows users to a separate port and warning to be careful with unofficial Windows installers. Results from the unlock are also contingent on power and thermal limits. The new project says it can be combined with the nvoc power-limit unlock, but warns this “can exceed factory power and thermal envelopes.” A per-card ROM hash check, which the project’s own safety rules require, isn’t built yet, and the unlock’s persistence on Thunderbolt eGPUs “is not guaranteed.”

Other cards, including the RTX 2080 and the RTX 2080 Ti, are under review. No dates are promised. The pro-card tensor feature can now be unlocked for many, though, and as simply as using a USB boot drive, which will get even easier with a boot-from-disk toggle the team says is in the works. RTX 50-series owners have to wait, for now, as the team is still trying to crack those cards, which have “a lot more security” than it anticipated.

First, it was the GeForce RTX 5090, and now the GeForce RTX 5080 – two of the best graphics cards have gone dark. After the Blackwell flagship left Nvidia's marketplace, the GeForce RTX 5080 followed suit. Prices for the sub-flagship have exploded to more than 2.2X its original $999 MSRP, and the Blackwell-powered graphics card is slowly going out of stock at various U.S. retailers.

As with the recent disappearance of the GeForce RTX 5090 on Nvidia’s marketplace, the listings and filters for the GeForce RTX 5080 have also disappeared. While its absence does not necessarily mean Nvidia has discontinued the graphics card, it does raise questions about its status and future availability. This move is especially fishy because other Blackwell SKUs, such as the GeForce RTX 5070 Ti and GeForce RTX 5070, remain listed on the marketplace, albeit marked as “Out of Stock.”

The continued presence of the GeForce RTX 5070 Ti and GeForce RTX 5070 suggests that Nvidia wants to keep the products visible even when they are not immediately available so that consumers can anticipate restocks. The complete removal of the GeForce RTX 5090 and GeForce RTX 5080 breaks that pattern. It fuels rumors that Nvidia has allegedly stopped production of the GeForce RTX 5090 and possibly the GeForce RTX 5080 too, in favor of a rumored GeForce RTX 5080 24GB.

Rumors claim Nvidia allegedly stopped producing the GeForce RTX 5090 to repurpose the valuable GB202 silicon into the chipmaker’s RTX Pro Blackwell lineup, which fetches higher margins. This has a lot of credence, since many agree that Nvidia stopped being a gaming hardware vendor long ago and has transformed into an AI provider.

Rather than simply discontinuing the GeForce RTX 5090, Nvidia purportedly intends to introduce the GeForce RTX 5080 24GB as the new flagship gaming graphics card. The thing is, a 24GB variant of the GeForce RTX 5080 would solve one of the biggest consumer gripes with the graphics card: the lack of memory. While a GeForce RTX 5080 24GB would offer the same memory as the GeForce RTX 5090, it simply isn't a direct drop-in replacement. The former has 2X fewer CUDA cores, a substantial performance gap that even a 50% memory increase can't make up for.

How much money are you willing to spend during the Black Friday sales?

The GeForce RTX 5080 launched in January of last year with an MSRP of $999. Demand quickly outpaced supply, and with the rapid price hikes due to the memory shortage, the market price has more than doubled its original MSRP. As of this moment, the most affordable GeForce RTX 5080 in stock, the PNY GeForce RTX 5080 ARGB Epic-X RGB OC, retails for $2,199.99, which is 2.2X over the original launch price.

While some stock remains, it’s selling out fast, and the remaining units will only get more expensive as availability dwindles. At this rate, the GeForce RTX 5080 is unlikely to be available by Black Friday. If you are set on a GeForce RTX 5080, you may have little choice but to act quickly and buy at today's elevated prices.

If the GeForce RTX 5080 24GB is indeed legitimate, the graphics card will almost certainly debut at a substantial premium over the original GeForce RTX 5080. Although Nvidia maintains that the RTX 5090 is still alive, the reality suggests otherwise. We have contacted the company for comment regarding the GeForce RTX 5080’s status.

The Nvidia GeForce RTX 5080, Nvidia's second-fastest GPU from its current generation, now costs as much as the RTX 5090 did, on paper, when it launched. Prices have reached $2,000 and higher, with most of the available stock online limited to third-party sellers. If you can find it in stock, it may end up costing you two to three times as much as it did when it launched.

The cheapest, in-stock RTX 5080 available to buy from a reputable seller online for delivery is this PNY RTX 5080 for $1,999 from Best Buy, the same price as the RTX 5090's on-paper MSRP. You might otherwise end up paying $2,299.99, at least, for this Asus ROG Astral mode at Newegg, or you could pay nearly $3000 for this Gigabyte RTX 5080 from MemoryC, now priced at $2,983.23.

Stock for the RTX 5080 is otherwise limited everywhere, with just one or two available for local pickup (in Best Buy's case), and limited options for delivery. You can also find similar in-store-only pricing at Micro Center, depending on location, which has a Gigabyte card for $1,979.99.

You'll also see a lot of the listings online from sketchy, third-party sellers.. For instance, you could pay at least $2,211.17 for this PNY RTX 5080 from a third-party Amazon seller. Empowered PC, the seller for this card, has had 81% positive ratings over the last 12 months, with 202 ratings in total.

Reputable seller or not, this price scale means you're paying significantly more than the $999 launch price for this GPU. As our GPU price tracking shows, though, this isn't an isolated case. RTX 5080 prices have, like the rest of the RTX 50-series, risen steadily since it launched. However, this is the first time that its price floor has been around the RTX 5090's launch price. That PNY RTX 5080, for instance, was being sold for around $1,500 on average back in August.

It's a bitter pill for gamers, though, that the RTX 5080 has now reached and breached the RTX 5090's launch pricing. That GPU has an MSRP of $1,999, although it'll now cost you thousands more. Prices for the RTX 5090 hit as high as $9,500 last month, but the situation is even worse today. What little stock that remains on sale online can be found for as high as $12,000.

The RTX 5080 uses Nvidia's GB203 GPU and comes with 10,752 CUDA cores, along with 16GB of GDDR7 VRAM. Unfortunately, it, like the rest of the consumer gaming GPU market, is being affected by AI. Demand for high-end GPUs hasn't stopped, but Nvidia's attention has shifted to the enterprise market. So, too, has the focus of memory manufacturers, meaning DRAM allocations and production lines that would otherwise produce memory chips for graphics cards have instead gone to feeding the demand for high-margin HBM for AI data centers.

Palit released an official statement denying recent speculation that it has closed its Galax factory — where it makes Nvidia RTX 50-series GPUs — because it cannot guarantee a sufficient supply of Nvidia chips. According to the company’s press release, its operations continue as usual, it has not shut down any factories, and customers are able to purchase Galax GPUs through existing distributors and retailers for both domestic and international markets.

“We are aware of recent reports and speculation regarding Galax’s business operations. We would like to clarify that these claims are inaccurate,” the company said. “Galax continues to operate as usual. No manufacturing facilities have been shut down, and Galax products remain available through our sales channels in both domestic and international markets.” It also mentioned that Galax and Palit share the same factories, and that production and business operations continue as normal. Nvidia was not immediately available for comment regarding speculation about the availability of chips.

The initial news of a possible Galax closure came as a shock to many, especially as the brand had just launched its latest flagship model, the Galax GeForce RTX 5080 HOF Extreme. The rumors stemmed from an exclusive news report by a Spanish outlet (expand the post above) claiming that Palit could no longer supply Nvidia GPU chips to Galax, meaning it could no longer build graphics cards at that facility, and keeping it operational was no longer viable for the company. Thankfully, the sources were wrong, so we are not going to see another major consumer GPU brand like EVGA leave the market. Still, the speculation that Galax would stop GPU production was not implausible, especially as we’ve been seeing reports that Nvidia was ending RTX 5090 production in favor of more expensive AI data center and professional GPUs.

This wasn’t the first time this year that Galax was rumored to have ended production. Palit Group restructured its operations earlier this year, which brought similar reports of closure for the GPU brand. This was further reinforced after Palit announced that it would consolidate Galax operations at its headquarters in Taiwan. Thankfully, the speculation both then and today is false, and we will continue seeing Galax GPUs on retail shelves. However, it still doesn’t solve the skyrocketing GPU prices brought by the AI-driven memory chip shortage.

Modders have discovered a way to remove imposed half-speed AI performance limits on Nvidia RTX 20, 30, and 40-series GPUs with a firmware exploit, VideoCardz reports. Without the limitation, the RTX 4090 can achieve double its peak tensor rate, and matrix math can improve by up to 80% for the RTX 3090 Ti, with gains on other cards varying. Real workloads gain significantly less than the RTX 4090’s doubled peak would imply, and chatbot token speeds remain about the same, as that performance is dependent on memory bandwidth.

For all impacted GeForce generations, Nvidia imposed a limit that, per its own published specs, runs FP32-accumulate math at half each card’s FP16-accumulate rate. That does not apply to its Turing and Ampere pro cards. The unlock returns native matrix-math throughput to owners of the cards, which can speed up prompt processing and image generation.

Three separate projects offer generation unlocks, each with its own unofficial Linux module, while experimental Windows builds pursue a different approach. Card coverage varies by generation, with gpu-unlock handling Ampere and listing the GA102/GA103/GA104/GA106 series IDs. An Ada fork, gpu-unlock-ada, covers the RTX 4090 and, experimentally, the 4090 D, 4070 Ti Super, and the 4060 Ti 16GB. The turing-unlock project, adapted from gpu-unlock, works with the RTX 2080 Ti. See Table 1 for a breakdown.

How much faster the cards get

The peak doubling is for tensor rates, with the Ada fork developer’s RTX 4090 moving from 165.6 to 331.6 TFLOPS on FP16 and 165.5 to 330.6 TFLOPS on BF16. The gpu-unlock-ada README states that, in one independent owner’s matrix-multiply benchmark, cuBLAS GEMM medians only saw improvements of 12–34% and up to 20%, respectively. A separate data point, for an RTX 4070 Ti on Windows, saw larger matrix-multiply gains of +80.1% and +76.4%, the difference possibly caused by power limits.

In the matrix-multiply benchmark, a tested RTX 3090 Ti scored +35% for FP16, +80% for BF16, and +94% for TF32, based on a user’s test with a modified Nvidia driver. The gpu-unlock README lists BF16 matrix-multiply gains from user reports of +25–67% for the RTX 3090, +70–73% for the 3080 10GB, +56–59% for a memory-modded 20GB version, +73–81% for the 3070, and around +80% for the 3060 12GB, though it notes they are not directly comparable. The power limit “matters a lot”: the lowest figure, +25%, came from cards capped at 225 W. For Ampere, LLM prefill improved 14–36%, with diffusion and FlashAttention speeding up, but LLM decode and INT8 stayed “about the same.”

An RTX 2080 Ti with a 22GB memory mod, a Dell OEM card limited to 250 W, saw FP16 matrix-multiply improvements of +36% to +64% depending on size; BF16 is unaffected, since Turing has no BF16 hardware. A user’s variant of the card at 260 W saw a +59% improvement. A separate project, KohakUnlock, on a Leadtek 2080 Ti 22GB saw an 85% improvement on an instruction rate test, with a best matrix-multiply median of +53% against a second, locked card of the same model.

There is “not a claim of a 2× application/game speedup,” says KohakUnlock’s README. See Table 2 for a rundown of the numbers for all three generations. The turing-unlock README notes that the mod “may damage your hardware,” while KohakUnlock adds that it “can hang a GPU or host, prevent boot, corrupt data, or damage hardware,” so caution is advised.

How the exploit works

The explainer for gpu-unlock states that the rate limits are in two “speed selector” registers that the host driver can’t write, but Nvidia’s signed SEC2 “Booter” firmware has a stack buffer overflow which can be exploited to run code in “heavy secure” mode. This was discovered after Nvidia published a debug Booter encrypted with a known public test key. A single 4-byte write with the V67 payload opens the privilege mask so the host can set the full rate, and the module then resets the card before Nvidia’s driver binds it.

The underlying bug is described in Jon Pry’s “A Canary in the Crypto Mine: Defeating Stack Protection in a GPU Secure Coprocessor,” published on Zenodo in June. The stack overflow was found on the CMP 170HX in the Heavy Secure Falcon, and the V67 constants come from WildFlash1st/cmp90hx-unlock. The pre-driver timing gpu-unlock uses appear to come from WildFlash1st’s separate Windows EFI bootloader, cmp90hx-unlock-for-windows, while the best-known use of the exploit is the CMP Unlocker for the CMP 170HX. Zagitta, the maintainer of gpu-unlock, said on Hacker News that the project is their work but “the exploits … aren’t my ideas by any means” and that the unlock “just flips the 2 bits” needed.

Zagitta said that RTX 40 support is in progress and that forks are already unlocking those cards. Zagitta added that Hopper and Blackwell cards are “out of scope for this approach” at least.

The Ada fork says other boards “remain unverified” and that shared firmware “does not establish support for untested cards.” The turing-unlock project, likewise, has a list of untested Turing IDs. Gaps remain for GA103 and most Ada and Turing cards. None of the projects contains a roadmap, but data is being gathered, as gpu-unlock is asking GPU owners for compatibility reports.

Nvidia CEO Jensen Huang has put the annual cost of licensing the company’s AI software at around $2,000 per GPU to 'run all the software that Nvidia provides that runs agents on these AI factories,' according to a recent video of the comments (below), a pricing model that could generate $50 billion over five years under a proposed scenario involving five million paid licenses outlined by FourWeekMBA.

Huang discussed the pricing at GTC Berlin on October 22, where the company outlined its broader push to build an AI infrastructure business spanning chips, software and AI-agent security. “Software licensing will become increasingly a major part of our company’s business. The way that we license will be…for example, it’s about $2,000 per GPU per year to run all the software that Nvidia provides that runs agents on these AI factories,” said Huang.

The numbers add up quickly. At $2,000 per GPU each year, Nvidia would bring in $10 billion annually if five million GPUs were covered by paid licenses. Over five years, that would amount to $50 billion, provided customers kept renewing their subscriptions. The catch, however, is that Nvidia has not disclosed how many GPUs could be covered by the proposed $2,000 fee, or whether that’s its standard price. It’s also unclear which software the license would cover, or if there is overlap between products.

The distinction matters because Nvidia already charges for enterprise software. Its AI Enterprise platform is listed at $4,500 per GPU for a one-year subscription. Huang’s reported $2,000 figure is lower, but Nvidia has not confirmed that the two prices cover the same products or licensing terms. It should not be treated as a confirmed price cut.

The licensing discussion comes as Nvidia develops more of the infrastructure needed to deploy and manage AI agents in enterprise environments. These systems can use tools, access data, and execute tasks, creating new security and management challenges for businesses running them at scale.

On October 21, Nvidia announced its OpenShell Reference Architecture, a system that combines its Vera Rubin computing infrastructure, Vera CPUs, and BlueField-4 data processing units (DPUs) running Nvidia Sentry. OpenShell provides a secure runtime for AI agents, establishing boundaries around their actions and access to tools and resources. Sentry monitors agent activity independently and can quarantine an agent that attempts to cross those boundaries, according to Nvidia. The architecture is designed to bring security controls into the underlying infrastructure rather than relying solely on safeguards built into an AI model or application.

Nvidia had previously introduced its Open Agent Safety Platform in September. The newer reference architecture builds on that effort, extending the approach to enterprise infrastructure and edge systems.

Other companies are also incorporating these controls into their products. Anthropic is integrating OpenShell and BlueField hardware with Claude Managed Agents to give businesses additional control over what their AI agents can access inside execution sandboxes. Salesforce has developed a Slack Admin Bridge for OpenShell that lets administrators review agent access requests, approve or reject permissions, and monitor activity directly in Slack.

The proposed software pricing fits Huang’s wider argument that Nvidia is becoming more than a supplier of GPUs. The company has expanded into networking, systems, enterprise software, and infrastructure designed to run AI workloads. Speaking on the BG2Pod podcast recently, Huang said, “One of these days, people might not categorize us as a chip company anymore.” He pointed to Nvidia’s presence across industries including healthcare, automotive, telecommunications and life sciences, where the company provides broader technology stacks rather than chips alone.

That said, Nvidia has not said when the $2,000-per-GPU fee would take effect or which software it would cover. It also remains unclear how the proposed pricing would fit into the company’s existing enterprise software business.

If you are wondering why the GeForce RTX 5090, despite being one of the best graphics cards, has evaporated from retail shelves, the answer lies in China’s industrial conversion factories. A newly surfaced video reveals the staggering scale of the country’s grey-market AI operations, showing industrial workshops dismantling brand-new GeForce RTX 5090 graphics cards to repurpose them for the AI boom.

So, what exactly is a GeForce RTX 5090 doing in China when the graphics card is not even officially available there? The answer is simple. They are there to be transformed into AI workhorses. The recently leaked footage offers a glimpse inside these Chinese workshops, where skilled technicians meticulously desolder the pricey flagship’s GB202 silicon and GDDR7 memory chips. They then transplant the components into a dual-slot blower design tailored for server use.

The GeForce RTX 5090 blower graphics cards will ultimately end up in high-density server racks where they will become the backbone of massive AI compute clusters. The scale and efficiency of these operations are impressive, with production lines converting shipments of brand-new GeForce RTX 5090 graphics cards, from Nvidia's custom partner models to the chipmaker's highly coveted Founders Edition. After testing and validation, workers would repackage these modified GeForce RTX 5090 graphics cards and ship them to clients, likely data centers or AI labs.

Many of these Chinese factories are scattered throughout the country. The conversion process is massive in scale, and probably thousands of GeForce RTX 5090 graphics cards are being repurposed every day. Middlemen in these grey-market supply chains are constantly hunting for GeForce RTX 5090 stock to fuel these operations.

Nvidia has reportedly halted production of the GeForce RTX 5090 and is, in all likelihood, redirecting the valuable silicon to higher-margin professional GPUs like the RTX Pro 6000 Blackwell. At the same time, a vast network of Chinese conversion factories continues to operate at full speed. Redirected supply and aggressive grey-market recycling have nearly wiped out GeForce RTX 5090 stock from U.S. retailers.

Custom GeForce RTX 5090 graphics cards now start at an eye-watering $8,500. However, a new workaround has emerged to sidestep the stock shortage and inflated prices: prebuilt gaming systems. Sometimes these GeForce RTX 5090 prebuilts cost less than a standalone GeForce RTX 5090, while offering a fully assembled system with a manufacturer's warranty.

If you had told me a few months ago that buying an entire gaming system would be cheaper than a single high-end graphics card, I would have called you insane. Yet here we are. In today’s chaotic market, prebuilt systems often offer better value than standalone graphics cards.

Following reports over the weekend that an Nvidia RTX 5090 shipment worth $470,000 was stolen from a Brazilian airport, a contraband graphics card linked to the shipment has shown up for sale online. Brazilian media also reports that the police and airport authorities have identified three employees thought to have been involved in the heist, according to GMC. (Machine translated)

According to the report, Guarulhos International Airport has issued a statement confirming that "The investigation of the facts is the responsibility of the competent authorities to clarify the circumstances of what happened." A Brazilian TV news network appears to have identified one of the cards, a Zotac Gaming RTX 5090 for sale on the online marketplace OLX for over $6,000. Quite unfortunately, the reseller uploaded clear pictures of the card's serial number, linking it to the missing haul of graphics cards. Per the report, there is no information to identify the seller, and the listing appears to have since been taken down.

However, police information reported by the outlet does reveal a chain of events and some possible suspects in the case. The shipment, imported from the United States and thought to be worth nearly $500,000, arrived in Brazil on September 20 and was registered with customs on September 24. The two pallets went missing after being authorized for release on September 25. Police believe "two outsourced forklift operators" removed the pallets from the warehouse on September 21, an act apparently recorded by CCTV.

Police state the equipment was loaded onto a truck and hasn't been seen since. A third "checker" employee is said to have released the merchandise from the system to pass through electronic controls.

The RTX 5090 is the world's best consumer gaming GPU, but high demand for AI compute has seen it all but disappear from conventional retail, with the card now fetching upwards of $10,000 in the few remaining marketplaces it can be found, nearly always offered by third-party sellers. As such, an idle, unguarded shipment of such cards would make ripe pickings for thieves, a tempt

Earlier this year, AMD brought the previously RX 9000-exclusive FSR 4 upscaling tech to Radeon RX 7000-series graphics cards and promised an early 2027 release for RX 6000-series products. Christmas has come early for RDNA 2 and many other Radeon gamers, as Radeon honcho Jack Huynh has announced an FSR 4.1 release for Radeon RX 6000-series cards, Xbox Series X and Series S consoles, Ryzen Z-series handhelds, and machines with Ryzen AI Max and AI 9 chips today.

To accomplish this feat, AMD says it tweaked FSR 4.1's neural network model to support the INT8 shader hardware (as opposed to the higher-precision FP8 matrix acceleration hardware on Radeon 9000 cards). Additionally, the version specific to handhelds is slimmed down even further, to less than half the size of the full one.

AMD says that compared to FSR 3, games on the aforementioned GPUs and APUs will now deliver better image quality, all else equal. With Cyberpunk 2077 running in FSR Balanced mode at 4K, our quick testing with a Radeon RX 6900 XT shows that running FSR 4 costs just about 13% performance, a small price to pay for sharper and more stable visuals, especially in motion.

And the higher upscaling quality of FSR 4.1 might let gamers use Performance mode where they might previously have used Balanced, or so on, which might offset that performance cost.

There are more goodies in store, too. The Radeon team says that FSR Frame Generation now ought to have better frame pacing, resolving a longstanding complaint with the tech and potentially making for smoother gameplay with framegen enabled. Support for the Vulkan API with FSR 4.1 is set to arrive at some point, as well, a boon for some games and console emulators. Finally, AMD says FSR Ray Regeneration will also be coming to more games, too. The company showed the tech running in Warhammer 40,000: Darktide, and that integration is available now.

To get all this goodness into your GPU, you can download the just-released Radeon 26.10.1 drivers from the AMD Adrenalin application or directly from AMD's website. The updated software also adds support for Call of Duty: Modern Warfare 4, Star Wars: Galactic Racer, and Final Fantasy Resonance. You can check out the full release notes here.

For owners of Xbox and Ryzen Z2-series handhelds, AMD says that an update from their manufacturers will be forthcoming, as those devices depend on OEM-specific drivers.

We're pleased to see that Radeon gamers are getting upgrades for their existing graphics chips along the lines of what Nvidia has been delivering throughout 2025, because the way things are going, it looks like it'll be around 2077 before there will be a new gaming graphics card launch. If you're an RDNA 2 gamer, go give FSR 4 a shot and see what you think.

Chinese technology giants ByteDance, Alibaba and Tencent have reportedly spent over $35 billion on orders for more than 3 million Nvidia RTX Pro 5500 workstation GPUs. The huge order for the RTX Pro 5500, fully compliant with U.S. restrictions on exports of AI-capable GPUs to China, is reportedly far beyond Nvidia's planned production for this card. As a result, Nvidia has, according to sources who spoke to Reuters, told its customers that it isn't in a position to fill the orders as it far outstrips its planned production for this GPU.

The RTX Pro 5500 is a workstation GPU with the same number of CUDA cores as its flagship RTX 5090 GPU, but with 84GB of GDDR7 memory attached, making it a good option for AI applications. The RTX Pro 5500 is a popular choice at the moment for Chinese buyers as exporting it isn't currently restricted by the U.S. government. It's less powerful than the H200 and B300, Nvidia's AI-focused GPUs for the enterprise market, but those GPUs remain either banned or heavily restricted. As China competes with the U.S. in the race to produce newer, better AI models, GPUs like the RTX Pro 5500 continue to be indispensable.

The report reveals some interesting data about the Chinese tech firms orders. Two of its sources revealed that the cards are priced at around $11,400 each, reaching a total order value of $35 billion. Meanwhile, another source suggested that Nvidia has informed its partners that it may only be able to deliver enough cards to meet between 5% and 10% of the demand. Meanwhile, Nvidia is reportedly in a position to only produce 3 million RTX Pro 5500 cards globally in 2027.

Neither Nvidia nor the three Chinese companies have confirmed any of this on the record. However, an Nvidia spokesman told Reuters that demand from the Chinese market for these chips has faced "unprecedented growth since 2022" since export restrictions were introduced. "U.S. firms continue to be restricted by a combination of outdated U.S. export controls, which cover gaming products released nearly half a decade ago, and China's own limits on U.S. imports."

While trade hostility between the U.S. and China shows no sign of abating, demand for Nvidia's GPUs hasn't slowed down, despite U.S. attempts to restrict Nvidia's ability to export to China. Meanwhile, export-restricted Nvidia AI chips continue to reach China despite the restrictions, bypassing the Trump administration's efforts in the process.

Popular graphics post-processing injector software ReShade, commonly used to mod DLSS 5 into unsupported games, now has a foveated imaging add-on, including another standalone project that doesn't need precursor software, allowing DLSS 5 to affect only what's in view, reducing GPU load and increasing FPS.

Foveated imaging is nothing new; it's a technique that's been used in VR to increase performance. It works by only rendering what's in view, often increasing the resolution in the center and reducing it at the edges. Our eyes work in a similar way, with the clearest image in a small area in the center of your vision, blurring on the edges. With foveated rendering, you barely notice the lower-resolution edges as the peripheral vision is less concerned with fine details.

Instead of varying the resolution of the image, however, it varies the level of detail in DLSS 5 Neural Rendering. DLSS NR loads a whole AI model into your GPU and renders images in real time, making it a resource-intensive task; but the task is minimized greatly when most of the detail is only asked for in the middle of the image. That's what projects like maximedgoulet’s Foveated DLSS5 and ClarkCheekyKent’s CheekyFoveatedDLSS aim to do; with Foveated DLSS being a ReShade add-on and CheekyFoveatedDLSS capable of being a standalone integration.

Both implementations allow you to adjust the size of the center area with the highest rendering quality, with independent width and height adjustments to suit your personal situation, as some people have a larger focus area than others or have a different monitor distance. You can also adjust the render fall-off rate, so the image quality lessens more quickly or slowly past the focus area.

As Maximedgoulet's implementation is an add-on for an injector, the pipeline is quite long compared to the standalone integration of CheekyFoveatedDLSS, which Reddit comments claim is more convenient and more polished. Though both show a big improvement in performance, Maximed's Reddit post on Foveated DLSS5 claims an improvement from 48 to 80FPS in The Witcher 3 with 2x Multipass at ultrawide 7680x2160p on an RTX 4090. Considering Maximedgoulet’s 4090 could not handle DLSS-NR on an ultrawide, this implementation might genuinely be feasible to make Neural Rendering more playable.

Panchovix on GitHub recently released a VBIOS configurator for RTX 30-to 50-series cards that doesn’t require flashing. The loader provides a UI for easy configuration and lowers the risk of bricking your GPU by avoiding a risky flash process, and it's available for Linux, too.

Software like MSI Afterburner or ASUS GPU Tweak is often the go-to tool for quickly changing your graphics card’s settings; however, those tools have hard limits to how much you can push the graphics card. If you want to tweak your GPU beyond the firmware’s set limits, you can change it by tweaking the parameters in the VBIOS. Configuring VBIOS is similar to changing BIOS settings in the BOOT menu. With the VBIOS loader, you can change settings beyond the firmware’s hard limits.

The way it works is by storing the modified VBIOS image in the GPU’s register key; as the Nvidia driver looks for a VBIOS override on startup, it finds the VBIOS image and restarts, applying the override settings. The flash chip on the graphics card is not overwritten, reducing the risk of bricking your GPU. However, this does not protect the card from any extreme settings that could destroy electrical components; it merely provides a safer and more convenient way to adjust and apply VBIOS settings, including a way to roll back to the default VBIOS settings should you face any instability.

Bricking a flash chip isn’t as catastrophic as it seems, however. As long as you have a backed-up version of the VBIOS, you can easily buy an SPI flash chip programmer or even build your own using a cheap Raspberry Pi Pico and its many clones; sometimes programming the flash chip may not even require desoldering. Programming a flash chip is very tedious and inconvenient, though, which is why avoiding the risk of a botched flash process altogether is so appealing.

Unless you’re familiar with power delivery, voltage tables, and the patience required to test for hours, we wouldn’t recommend jumping into this unless you’re prepared to risk your GPU. However, you can still safely take advantage of this software by tweaking the fan curves and other settings you’ve applied and tested in software like MSI Afterburner if, for some reason, the startup settings don’t stick. This software will give your GPU new default settings that override at every startup, so long as Nvidia doesn’t remove the registry key that allows the VBIOS override.

The DLSS-NR project on AMD by Daniel Blanco was first released on September 3, 2026, bringing DLSS 5 Neural Rendering to Radeon GPUs; in the latest 0.8.0 update, however, it makes all the main DLSS features available, featuring DLSS SR, Frame Generation, Ray Regeneration, and the newest DLSS NR model, along with more performance improvements.

While AMD has equivalents for most DLSS features like FSR upscaling, frame generation, ray regeneration, and anti-lag, it’s not as commonly supported by most games compared to Nvidia’s offerings. Even if players could use the AMD equivalent features, Neural Rendering is one that AMD just doesn’t have an equivalent for yet, which is why mods like DLSS-NR on AMD were made.

Daniel Blanco wanted to fill the gap with NR in its initial release, but in the latest update, he added all the DLSS features: DLSS Ray Reconstruction, Super Resolution 4.5, Frame Generation, and the latest 310.9.16 improved Neural Rendering build that we covered recently with modders using it on unsupported games. Interestingly, the update notes say it includes FSR 4.1.1 upscaling; AMD GPUs already use FSR, but having FSR 4.1.1 specifically gives the mod a consistent version of FSR to work with, instead of having to be compatible with the various implementations of FSR in different scenarios.

The mod currently supports three generations of Radeon GPUs: RX 9000, 7000, and 6000 (RDNA4, 3, and 2, respectively), in any DirectX 12 game that uses FSR, DLSS, or XeSS. You can install the mod by downloading the NeuralHub mod loader, which provides a UI for you to install it into the games it detects. You then enable FSR, DLSS, or XeSS in the game, and the mod will insert itself into that upscaler pipeline, allowing it to inject any of the settings you configured for the game in the NeuralHub; it even provides an overlay to tweak the DLSS settings without leaving the game.

With a few improvements from the first version, the developer says the output quality is very similar to what DLSS produces on Nvidia GPUs natively, except for “some effects that may not be working 100%.” In the developer’s own testing, he found it to be playable at 90-100FPS at 1080p on an RX 9070 XT, while saying that he’s making improvements every day, planning to match the performance of a 5070Ti.

Real-world results are mixed, however, as Reddit users report showing no performance loss over native FSR, while others experience losing single-digit FPS to up to 25% lower FPS in various games. The developer still has to account for many factors since there are a myriad of PC configurations, but the results look promising as he bridges the gap between AMD and Nvidia GPU features — though it won’t work with anti-cheat, unfortunately.

A Brazilian electronics and IT distributor, Oderço, has gone on Instagram after failing to find answers about a missing shipment of RTX 5090 GPUs worth around $470,000 or R$2,500,000. According to its Instagram post [machine translated], the company has never faced an experience like this in its 38-year history. It was expecting two pallets of Zotac RTX 5090 GPUs at Guarulhos International Airport in São Paulo, which supposedly arrived there but then disappeared. The company has not provided any details, like the shipment’s arrival date or any tracking numbers, but claims that there hasn’t been any official response regarding its shipment inquiries. Because of this, the company went on the social media platform pleading for answers.

RTX 5090s are currently in short supply across the world, with the top-tier card disappearing from online retailers in the middle of September. There have been rumors that Nvidia has ceased production of the GPU to focus on more expensive professional AI cards, although it insists otherwise. Still, it doesn’t help that the flagship GPU is marked “not carried” in Micro Center’s online retail store, making it insanely difficult to find one of the best gaming GPUs you can buy today.

We don’t have any idea how many GPUs are missing, as the distributor only mentioned two pallets’ worth of RTX 5090s. A Zotac Gaming GeForce RTX 5090, which goes for around $8,000 on Amazon presently, is listed at R$33,999.99 on a Brazilian online retailer Promotech. This means that the company is missing 63 GPUs at the minimum, although this is likely going to be so much more considering that the $R2,500,000 amount the company said is its acquisition cost, not the retail price that it’s expected to go for.

We’ve seen various scams where retail customers lose their GPU shipments on the way to their home or delivery address, as well as unscrupulous buyers stripping off the GPU core and memory modules from an RTX 5090 and then shipping it back to the seller. This also isn’t the first instance that a shipment of high-value graphics cards has been stolen — one brazen crew has even rammed security escorts to hijack an AI hardware shipment, while another group stole two trailers marked with the Nvidia logo, only to find that it contained sand.

A new version of DLSS 5 on NBA 2K27 was just released, and modders have already extracted it and are running it on unsupported games. Modders are comparing performance between the older and newer Neural Rendering (NR) model and found it up to 40% faster than the previous one.

While many are still experimenting with leaked and first-release builds, Renan Maniero has already extracted the new 310.9.16.0 DLSS NR build, letting other modders use it in unsupported games and compare performance. Gaming Optimized on X compared the new NR model to the old one and found massive improvements of up to 90% in The Witcher 3 running DLSS 5 natively.

Running a full NR model to modify your game's image is resource-intensive, just as LLMs require a lot of RAM; DLSS NR does, too. To improve performance, Nvidia made the AI model 24% smaller, using 20% less VRAM at 4K, and, according to Nvidia, processes its neural rendering workload up to 2x faster.

Typically, improving an AI model means increasing its parameters and size—in other words, giving it a bigger brain. However, because consumer GPUs have limited, non-upgradable VRAM, Nvidia can't improve by adding a bigger model; instead, the AI needs to become more efficient while reducing resource usage.

These comparisons were much easier than switching back and forth between updates, since the latest version still includes the older model as a preset. The new DLL has two Neural Rendering presets: Preset A is the old model, and Preset B is the newer model.

As with many other DLSS 5 experiments like those Valery Kryzhanovsky does, DLSS is injected into the graphics pipeline using RenoDX or OptiScaler, both of which let you tweak the DLL settings to get different results. To run DLSS NR on older RTX GPUs, the modding community also modified the runtime to support RTX 20-series GPUs, as the OptiScaler GitHub README notes.

Nvidia plans to release DLSS 5 to RTX 40-series GPUs, but there are no reports of it officially coming to RTX 30- or RTX 20-series cards; the modding community seems to have done it anyway.

This one will be short and sweet. So remember how there are apparently no more RTX 5090s available most anywhere, even though Nvidia's Senior Vice President just said that the company definitely hasn't stopped making them? If you had been saving up for Nvidia's greatest card, there's still hope for you. Best Buy has an MSI Infinite ZS in stock with an RTX 5090 ensconced within for $7,599, making for roughly $5,300 for the RTX 5090 and $2,300 for the rest of the PC.

Yes, over five grand is definitely a lot to ask for a graphics card, but it's worth ponying up the cash if you want the best gaming card in recent years (and likely future, too). Besides, it's not like these will be in stock anytime soon (if ever), and they were commanding $7,500 or more in stores before they vanished.

The rest of the PC around the humongous card is equally powerful. The Ryzen 9 9950X3D ($670) is probably the best desktop CPU in the current market, offering a high core count of 16 cores and 32 threads, fast clocks with a 5.7 GHz turbo speed, and 128 MB of cache. It'll run games and heavy applications with equal aplomb.

That chip sits atop an MSI B840-VC motherboard ($250 est.) with PCIe 5.0 support thanks to its AMD B840 chipset. An MSI CoreLiquid 360mm CLC ($110) keeps the processor cooled. There are 32 GB of RAM ($450 est.) on tap — though MSI doesn't mention the speed, 6000 MT/s is a good, reasonable guess for a high-end machine.

The machine is powered by an unspecified MSI 1300W Gold PSU ($170 est.), and all the hardware sits inside a MSI MEG Prospect 700RL case ($250 est.). A Windows 11 Home license currently sets you back about $130. For those keeping track at home, the PC core goes for over $2300. There are no weak spots we could find, too — pre-builts often skimp on one of their core parts, but there are no shortcuts here.

Nvidia’s GeForce RTX 5090, undeniably one of the best graphics cards of our time, vanished overnight without a trace and is now selling for $8,500 on Amazon. In a recent development, Reddit user DallasGrave showcased a custom quad 8-pin power conversion kit designed for the notorious melting 16-pin (12VHPWR) power connector and the later 12V-2x6 revision. This invention, an upgrade over a previous mod, could reduce the risk of power-related meltdowns.

Unlike the endless stream of aftermarket adapters designed solely to prevent 16-pin power meltdowns, DallasGrave's iteration is more like a power-conversion kit. The direct-mount kit sits above the graphics card and uses a custom harness soldered to the graphics card’s PCB power rails. The quad 8-pin power conversion kit bypasses the 16-pin connection and redistributes the massive power draw more evenly across four conventional 8-pin PCIe power connectors.

Each 8-pin PCIe power connector can deliver up to 150W, so all four combined in this custom configuration match the 16-pin connector’s maximum capacity of 600W. However, this configuration addresses concerns with the 16-pin power connector, which channels 50A through a small, tightly packed set of pins. The power-conversion kit instead spreads the load across four 8-pin PCIe power connectors, which are physically larger and allow a wider pin pitch.

While 8-pin PCIe power connectors are not entirely immune to melting or other power-related failures, such incidents are far less common than issues with 16-pin power connectors. The 16-pin power connector is significantly more compact than a single 8-pin power connector and carries 4X the wattage, so it is more prone to higher current density and heat buildup.

According to PCI-SIG specifications, each of the six power pins inside the 16-pin power connector is rated for a maximum current of 9.5A. This means that, in theory, the power connector's total capacity reaches up to 684W or 57A. For example, 600W (50A) requires each power pin to carry about 8.33A, which is already close to the recommended safety limits.

By contrast, a standard 8-pin PCIe power connector contains three power pins. Combining four of these connectors in tandem provides 12 power pins. When distributing a 50A load across 12 pins, each pin carries just 4.17 amps, about half the current per pin of the 16-pin power connector design. This lower current per pin dramatically reduces wire and terminal temperatures and lowers the risk of heat-related damage.

The quad 8-pin power conversion kit tricks the sense pins on the 16-pin power connection into recognizing the full 600W. However, the Redditor claims they have tested the kit for up to 800W with a shunt mod. The beauty of the kit is that users can use it as a standalone power source or alongside the native 16-pin power connector, essentially acting as a parallel load spreader.

DallasGrave is developing a custom backplate that will enhance the power conversion kit's visual appeal. Notably, it is not limited to the GeForce RTX 5090 or any specific brand. According to the Redditor, they are preparing a range of models for production that cover nearly every variant on the market, including Nvidia’s Founders Edition. However, the creator has not yet revealed key details such as the official release date, pricing, or installation logistics.

Last week, gamers still holding any hope that the GPU market would somehow stabilize had their hopes dashed. A while after Nvidia reportedly put the RTX 50 Super series on hold, rumors started flying that production of the already-rare RTX 5090 was stopping, likely to use precious silicon manufacturing capacity for more AI accelerators. Now, the company's senior VP Jeff Fisher reportedly said that card was not discontinued and would continue to be shipped. The statement comes after a myriad of websites, including Tom's Hardware, have asked the company for official comment, but to no avail.

The information comes from Taiwanese websites including 4Gamers and SJTV, which both are quoting a purported post-event interview where Fisher offered a brief explanation of the situation. According to the VP, supplies of the GPU are limited, but Nvidia is seemingly going all out to get the product to market (paraphrased from the Taiwanese reports).

"The supply chain (capacity) is indeed somewhat constrained, but NVIDIA is doing everything it can to get the product on the market. Although there are other variants of the RTX 5090 (chip), production has not been discontinued, and NVIDIA will continue to ship, which is very important," Fisher reportedly said to 4Gamers.

He also reportedly reiterated a common quote from Nvidia execs, stating that without GeForce, Nvidia wouldn't be where it is today, and likewise, the AI market wouldn't exist as it does today.

The claim that the card isn't gone after all merits some spot-checking, so we did a cursory browse of the common retailers. At Amazon, RTX 5090s are selling for about $8,500, but from third-party sellers. Best Buy has a grand amount of naught cards on offer, while Newegg lists 5090s for about $7,300, but from what are likely Chinese sellers, judging by the shipping time. The ever-famous U.S. tariffs would likely add quite a chunk of change to that price tag, too. Finally and perhaps most poignantly, the card remains absent from Nvidia's own marketplace and Micro Center as of this writing.

Some would say that these statements are nothing but a means to keep the company in gamers' minds, even though gaming-related revenue is now a vanishingly small piece of Nvidia's ever-larger money pie.

Jensen's firm isn't the only one seemingly keeping up appearances, as Intel has repeatedly stated that its long-awaited refresh of consumer GPUs isn't dead, and last year AMD said it still intends to deliver "the best mainstream gaming GPUs on the market." Yet there are no new GPU launches from any of the three, and their quarterly launch figures keep doubling down on AI.

We reached out to Nvidia for comment on the situation and received no reply.

Buying a GeForce RTX 5090, widely regarded as one of the best graphics cards on the market, was already extremely difficult because of price hikes and near-zero availability. Now, it will be impossible to get one. Amid recent rumors that Nvidia is halting production of the GeForce RTX 5090, another sign of the card's disappearance from the U.S. market are emerging. Micro Center has reclassified the Blackwell flagship as "Not Carried," and many of its stores have sold out. Tom's Hardware has reached out to Micro Center for comment.

The “not carried” status on a product is different from simply being out of stock. When an item is out of stock, it just means the product is temporarily unavailable, but the retailer plans to restock once new inventory arrives from the manufacturer. In contrast, a "not carried" label implies the product is no longer part of the retailer's active catalog. Therefore, the retailer does not expect to restock the item.

Custom GeForce RTX 5090 graphics cards from Nvidia partners such as Asus, MSI, and Gigabyte are still listed on Micro Center’s website for now. However, a closer look shows these models are out of stock at all of the retailer’s physical locations. This widespread unavailability lends credence to the rumors that Nvidia has reportedly stopped producing the GeForce RTX 5090.

The Asus GeForce RTX 5090 ROG Astral Edition 20 is the only GeForce RTX 5090 graphics card that remains in stock at most Micro Center stores nationwide. However, there is a catch. This particular model is only available as part of the exclusive Asus ROG 20th Anniversary Bundle priced at almost $11,000.

Adding another twist to the unfolding story, one Redditor claimed to have seen Micro Center employees remove all GeForce RTX 5090 graphics cards from the shelves on October 9, just a day before rumors of a production halt began circulating online. According to the account, when the Redditor asked the store manager why, the manager refused to explain.

The Redditor wanted to buy the Asus ProArt GeForce RTX 5090; however, a Micro Center employee reportedly said the graphics card "was pulled and being sent somewhere else," offering no further explanation. Nonetheless, the Redditor noticed two GeForce RTX 5090 cards still on the shelf and allegedly begged staff to let them buy one. The Asus GeForce RTX 5090 ROG Astral Edition 20 would require selling a kidney, and no doctor or surgical equipment was nearby. Therefore, the Redditor bought the Gigabyte GeForce RTX 5090 Aorus Stealth Ice, which Micro Center generously price-matched to the cheaper Asus ProArt GeForce RTX 5090.

The fairytale ending wrapped up with the Micro Center employee reportedly telling the customer, "congrats on getting the last 5090 we will probably sell..."

Nvidia has not officially commented on the GeForce RTX 5090's situation. Despite ongoing speculation, the chipmaker still lists the GeForce RTX 5090 on its website with a “starting at $1,999” price, an MSRP we have not seen in ages. The original rumor suggested that Nvidia had stopped producing the GeForce RTX 5090, but it has not been formally confirmed as a discontinuation.

It makes sense for Nvidia to reallocate the GB202 silicon that powers the GeForce RTX 5090 into its Pro lineup, where profit margins are considerably higher. Instead of focusing on the GeForce RTX 5090 for gaming, Nvidia can channel the GB202 into products like the RTX Pro 6000 Blackwell, RTX Pro 5500, and RTX Pro 5000, where the market will pay a steep premium for the same silicon.

Sadly, times are changing, and the GeForce RTX 5090 has shifted from flagship to a soon-unattainable halo product.

A Redditor has shared a photograph of the prices of Nvidia RTX 50-series GPUs in Japan, and it doesn’t bode well for gamers. According to u/Chaise91’s post on the r/pcmasterrace subreddit, retail prices for some of the best gaming GPUs are somewhere between 5.66% and 41.1% higher compared to Amazon U.S. listings.

The memory chip shortage and massive demand for AI compute have been affecting the supply of gaming GPUs, with reports suggesting Nvidia is planning to halt RTX 5090 production in favor of AI data center and professional GPUs. Because of this, the supply of high-end GPUs has vanished online, with third-party sellers now demanding almost $10,000 if you want to buy one. The image shared on the social media platform does not show the RTX 5090, so we fear that retailers in the market no longer have the high-end graphics card in stock, leading to supply pressure on the lower-tier cards.

We built a table comparing the prices from the Japanese retailer to listings we found on Amazon based on the current exchange rate of JPY 153.38 for every USD 1, and the hikes vary between 12.71% on average for the RTX 5080 to a jaw-dropping 41.10% for the RTX 5060 Ti 8GB. Note that these are pre-tax prices, though, so your mileage may vary depending on which state you live in. We added a representative 8.5% tax rate to see the price difference for gamers in states with high sales taxes, and the difference falls between 3.88% and 30.04%.

While the Japanese market is typically more expensive compared to the U.S., especially in GPU pricing, you would still feel the price hikes on these graphics cards, especially for the mainstream RTX 5070 Ti and below. While this may be bad news for Japanese gamers, it could also serve as a harbinger for the United States, as these pricing trends tend to travel westward. We saw this late last year, when Japanese shops started limiting SSD, HDD, and RAM purchases due to shortages, and GPUs with 16GB VRAM and up had to be rationed because resupply shipments failed to arrive on time.

These price increases are indeed plausible given the chip shortage pummeling the PC gaming industry, but we’re hoping that this is just a fluke in the local Japanese market and not a preview of things to come for the global GPU market. But in case you’re on the market for a new graphics card and have been following our GPU price tracker to get the best possible deal, you shouldn’t delay your purchase any longer, as there’s a chance that these price increases will eventually land on American shores.