Hardware leaker Kopite7Kimi, who has an exceptional track record, posted on X that Nvidia's RTX 60 series GPUs, based on the Rubin architecture, might not be released until at least 2028. The leaker previously believed that we might see a new generation of graphics cards in late 2027, but now says: "Unfortunately, GR20x is a product from 2028. That means they have postponed again." We reached out to Nvidia regarding the post, and a company spokesperson stated that they "don't comment on rumors or unannounced products."

While Nvidia issued its standard boilerplate response, Kopite7Kimi has a historically near-spotless record when it comes to speaking about Nvidia hardware leaks, and it seems that this time, consumers may have to wait a little longer. Both the Ada Lovelace and Blackwell architectures in RTX 40 and RTX 50 series GPUs share the same TSMC 4N process node, so if the leaker's words are to be believed, it will take Nvidia a total of six years to move its consumer GPUs to the more advanced TSMC 3N or 3NP node that its Rubin accelerators currently utilize.

Now, the potential reasons behind the delay could be twofold: The first is the numerous reports we've heard about a potential RTX 50 Super series Blackwell refresh being sidelined, despite reportedly being ready. The claimed reason behind the delay or potential cancellation of the rumored RTX 50 Super series is the use of denser 3GB GDDR7 VRAM chips, which just so happen to have appeared in Nvidia's recently released RTX Pro 5500 and share many similarities with the RTX 5090.

So, it's quite possible that the delays in delivering a GeForce product based on the Rubin architecture, which has already begun shipping as "the fastest ramp in company history," is down to careful allocation of resources on Nvidia's part, as the company expects to make $20 billion from Vera Rubin in Q3 2027.

Secondly, Nvidia can only acquire so many resources to supply its products, which demand vast amounts of memory, and has also locked in a certain amount of wafer supply from TSMC. So, it's highly probable that Nvidia is focusing on enterprise and workstation products ahead of a consumer launch, especially as component costs remain eye-wateringly high. Nvidia's highly profitable data center arm is currently experiencing soaring demand from the ongoing AI buildout, meaning there's less onus to deliver a potentially less profitable consumer GPU, while there's still cash to be made from hyperscalers.

It's not unusual to see enterprise products use more advanced nodes before arriving in consumer products, but this time around, at least according to Kopite7Kimi, the Blackwell product cycle is poised to be unusually long. This is particularly bad news for consumers, as the RTX 5090 is experiencing a pricing squeeze, which is seeing costs soaring all the way above $9,000 — if you're lucky enough to find one listed online.

For now, your best bet is to just hold on to the GPU you currently have until the storm blows over and a new generation of graphics cards is released, unless you're willing to pay the dizzyingly high costs that the market demands right now.

It's been quite a week over on Tom's Hardware Premium: let's go through all of the articles that we've published throughout this week so far.

Kicking things off with a bang, Valve officially released the Steam Frame, its latest VR headset, which adds functionality that allows the headset to act as both a standalone and PC VR headset. Our VR expert Brandon Hill reviewed the headset itself and managed to interview the engineers at Valve about their efforts on the new hardware and the software powering the company's next generation of Virtual Reality.

• Valve Steam Frame interview — why it costs up to $1,300, Snapdragon power, and 10x foveated streaming

Reporter Chris Stokel-Walker investigated the deepening DRAM and NAND crisis, honing in on how SLC and NOR Flash are the next products that have been affected by the ongoing demand for AI. Featuring expert interviews and a grim outlook on the electronics the world relies on, he explored how the ongoing data center gold rush is leaving other supply chains decimated in its wake.

• NOR Flash and SLC NAND production are under threat as capacity gets routed to more profitable products — 'severe undersupply' threatens everyday electronics

Nanya-backed company PieceMakers debuted on Taiwan's stock market this week, making a bold bet that it's not just HBM that's useful for integration in AI devices. Instead, the company offers a different look at how hybrid-bonded chips might also be useful for inference chips. We've broken down exactly how the company views the future of memory for inference accelerators.

• PieceMakers bets edge AI devices will diverge from reliance on HBM — custom-designed memory fuses DRAM stack directly to the processor using hybrid bonding

Next up, AI leaders butted heads this week over alleged safety concerns about new, advanced models. It all started with one ex-OpenAI and Anthropic worker warning that the technology could endanger human existence and 'kill us all' by 2030. In response, AI leaders like Dario Amodei and Sam Altman have committed to delivering safe AI and 'pacing the frontier' of AI development, while figureheads like Mark Zuckerberg and Jensen Huang argue against the claim that AI models would do such drastic things, so long as they are developed responsibly.

• AI leaders clash over safety fears after Anthropic whistleblower says AI could 'kill us all' by 2030 — OpenAI, Anthropic and xAI figureheads call for external governance, while Jensen Huang says worries are 'made up'

Despite the company's CEO telling us all that responsible AI development is indeed necessary, Anthropic published its economic forecasts on how widespread usage of Artificial Intelligence might impact the economy. Despite forecasting that GDP growth in the U.S. might shoot up by as much as 32%, it also warns that other 'knowledge workers' might be left in the lurch, with unemployment rising as the technology threatens to displace professional workers.

• Anthropic says AI can boost U.S. GDP by 32%, up to $44.4 trillion in four years — economics model predicts that displaced employees 'may have to switch to jobs like electrician and nurse'

An investigative report has detailed exactly how advanced AI accelerators are reaching Chinese shores through a series of shell companies. We go over the specifics of two reports and see exactly how supposedly export-controlled accelerators are allegedly being funneled through illicit channels in an economy where compute and powerful silicon create AI kingmakers.

• Investigative report details how export-restricted Nvidia AI chips reach China — public records reveal how Chinese entities skirt US sanctions

Despite the country's access to advanced AI accelerators through illicit channels, some leading frontier companies out of China are also allegedly using distillation attacks to learn how leading Western AI models think, and how extracted thinking traces and grey-market user logs are being used to train cheap models originating from the Eastern hemisphere.

• US frontier AI companies warn authorities over sophisticated distillation attacks — China warns of 'countermeasures' if America tries to constrain domestic AI models

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If you're not yet subscribed to Tom's Hardware Premium, we've got you covered with this weekly roundup of everything we've posted throughout the week.

To kick the week off, our resident GPU guru and all-round inference extraordinaire Jeff Kampman undertook the laborious task of running Qwen 3.8 27B across several devices you might actually be able to afford. The model promises near-enough Frontier levels of performance, without the downsides that come alongside paying for an API-based subscription or tokenized billing.

What Jeff finds out after a dizzyingly large number of benchmarks across devices like an RTX 5090, Mac Mini, DGX Spark, and Strix Halo systems is that configuration matters just as much as the final, raw, tokens-per-second outputs that many clamor over on social media. Benchmarking AI models is still a fairly nascent subject, and the level of detail on offer here isn't something you'll find published anywhere else.

• Benchmarking Qwen 3.8 27B on RTX 5090 and beyond — VRAM capacity alone can't overcome severe software and inference engine bottlenecks

Andrew Freedman headed out to IFA last week, where we saw a slew of new announcements and devices from companies. But there's only one problem. They're all either super-light MacBook Neo competitors or Agentic AI PCs that may well cost more than a car. The original "golden" price point for many enthusiasts, around $1,000, looks a little lonely as a result.

The factors impacting the mid-range of regular old desktops and laptops have been adversely affected by the sheer scale of demand coming from the ongoing AI data center buildout. Meaning that if you're after a system with just enough RAM and storage to get by, prices can skyrocket fast. Andrew explores everything he saw at the show and ruminates on the current state of the systems market, which, for now, appears to be fractured.

• At IFA 2026, computing chased the high and low ends — AI and budget-focused machines left little for the rest of us

Elsewhere in the industry, Ajinomoto, a company usually associated with food products based in Japan, is involved in making some of the most crucial materials in modern AI accelerators. We've taken a look at how the company's ABF substrates sit within the supply chain of the biggest chipmakers like Nvidia, Intel and AMD. But, as with many components in the AI boom, it's strained by more demand than anyone anticipated, which has led to an increase in prices of approximately 30%. We dive deep into the current state of the use of ABF substrates in the semiconductor industry and take a look at the supply chains underpinning it.

• The state of ABF substrates in data center silicon in 2026 — solving the supply crunch and material wall beneath every AI accelerator

Also in the news, TSMC, Intel, and Samsung have all thrown their support behind ASML. The industry is collectively aiming to move towards a shift in High-NA EUV, particularly in the usage of 6×12-inch photomasks. With current standards set at 6×6-inch photomasks, a larger mask would eliminate the need for stitching, which weaves together multiple High-NA exposures, at the cost of efficiency.

We analyze how the move to larger photomasks might shake out, and the trials and tribulations that might face chipmakers during the shift, which, theoretically, will take years.

• TSMC, Samsung, and Intel shore up support with ASML to deploy larger High-NA EUV photomasks — 6×12-inch photomask transition may take years despite unified effort

Lastly, the news has been dominated this week by the release of OpenAI's latest frontier-level model. Named GPT-6 Astra, the AI model quickly topped charts for its intelligence and the ability to complete tasks on a per-task basis lower than other leading AI models. This comes hot on the heels of a fleet of rogue OpenAI agents running amok on internet forums, all in the name of co-ordination.

Astra's release prompted OpenAI to release a blog post, explaining how it believed that Astra was aligned internally. But others believe that the threat of a looming humanity-threatening tech "singularity", powered by powerful models like Astra, is on the way soon.

OpenAI has also claimed to have solved one of the Millennium Problems. The Navier-Stokes problem had been left long unsolved, while mathematician Tristan Buckmaster had been working on a step toward a solution for the problem, alongside a member of Anthropic staff. The pair had been using both Anthropic and OpenAI models in their research, so when the claim came out that an OpenAI model had solved the long-standing problem, it raised more than a few eyebrows. We chronicle the entire saga and the implications for researchers in our exhaustive breakdown.

• OpenAI's breakthrough solution for the elusive Navier-Stokes problem overshadowed by plagiarism controversy — researcher says OpenAI scraped Codex session and issued career threats
• OpenAI claims GPT-6 Astra is an ethereal 'Alien Mind' with AGI-like qualities — company warns of alignment challenges as new frontier leader emerges

If you'd like to read any of the articles above and gain access to Bench, you'll need to purchase a subscription. Your support goes a long way in helping us to publish deeper, more insightful stories that might otherwise fall outside of our regular areas of coverage.