Nvidia CEO Jensen Huang says that the company’s next-generation AI superchip platform, Vera Rubin, is on schedule to begin arriving to customers later this year. “Today, I can tell you that Vera Rubin is in full production,” Huang said during a press event on Monday at the annual CES technology trade show in Las Vegas.
Rubin will cut the cost of running AI models to about one-tenth of Nvidia’s current leading chip system, Blackwell, the company told analysts and journalists during a call on Sunday. Nvidia also said Rubin can train certain large models using roughly one-fourth as many chips as Blackwell requires. Taken together, those gains could make advanced AI systems significantly cheaper to operate and make it harder for Nvidia’s customers to justify moving away from its hardware.
Nvidia said on the call that two of its existing partners, Microsoft and CoreWeave, will be among the first companies to begin offering services powered by Rubin chips later this year. Two major AI data centers that Microsoft is currently building in Georgia and Wisconsin will eventually include thousands of Rubin chips, Nvidia added. Some of Nvidia’s partners have started running their next-generation AI models on early Rubin systems, the company said.
The semiconductor giant also said it’s working with Red Hat, which makes open source enterprise software for banks, automakers, airlines, and government agencies, to offer more products that will run on the new Rubin chip system.
Nvidia’s latest chip platform is named after Vera Rubin, an American astronomer who reshaped how scientists understand the properties of galaxies. The system includes six different chips, including the Rubin GPU and a Vera CPU, both of which are built using Taiwan Semiconductor Manufacturing Company’s 3-nanometer fabrication process and the most advanced bandwidth memory technology available. Nvidia’s sixth-generation interconnect and switching technologies link the various chips together.
Each part of this chip system is “completely revolutionary and the best of its kind,” Huang proclaimed during the company’s CES press conference.
Nvidia has been developing the Rubin system for years, and Huang first announced the chips were coming during a keynote speech in 2024. Last year, the company said that systems built on Rubin would begin arriving in the second half of 2026.
It’s unclear exactly what Nvidia means by saying that Vera Rubin is in “full production.” Typically, production for chips this advanced—which Nvidia is building with its longtime partner TSMC—starts at low volume while the chips go through testing and validation and ramps up at a later stage.
“This CES announcement around Rubin is to tell investors, ‘We’re on track,’” says Austin Lyons, an analyst at Creative Strategists and author of the semiconductor industry newsletter Chipstrat. There were rumors on Wall Street that the Rubin GPU was running behind schedule, Lyons says, so Nvidia is now pushing back by saying it has cleared key development and testing steps, and it’s confident Rubin is still on course to begin scaling up production in the second half of 2026.
In 2024, Nvidia had to delay delivery of its then-new Blackwell chips due to a design flaw that caused them to overheat when they were connected together in server racks. Shipments for Blackwell were back on schedule by the middle of 2025.
As the AI industry rapidly expands, software companies and cloud service providers have had to fiercely compete for access to Nvidia’s newest GPUs. Demand will likely be just as high for Rubin. But some firms are also hedging their bets by investing in their own custom chip designs. OpenAI, for example, has said it is working with Broadcom to build bespoke silicon for its next generation of AI models. These partnerships highlight a longer-term risk for Nvidia: Customers that design their own chips can gain a level of control over their hardware that the company doesn’t offer.
But Lyons says today’s announcements demonstrate how Nvidia is evolving beyond merely offering GPUs to becoming a “full AI system architect, spanning compute, networking, memory hierarchy, storage, and software orchestration.” Even as hyperscalers pour money into custom silicon, he adds, Nvidia’s tightly integrated platform “is getting harder to displace.”
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![Mercor’s Brendan Foody calls out Sequoia over ‘dual-pricing’ valuation tricks | TechCrunch
In recent days, founders and founders-turned-investors took to X to share horror stories about being mistreated by VCs. Their complaints ranged from VCs falling asleep during pitch meetings to investors suggesting a founder fire a co-founder.
Brendan Foody, co-founder of the AI talent platform Mercor, which was last valued at billion, went so far as to call out Sequoia, arguably one of the most elite VC firms in the world.
“The “sequoia scam” is worse than a single horror story,” Foody wrote on X. “in the last 6 [months] ive seen a half dozen rounds where sequoia invests in 2 tranches. everyone pretends they only did the higher valuation. founders misrepresent this to their employees & then shop it to angels too.”
TechCrunch has previously reported on VCs investing in the same round at different valuations. Under this mechanism, the lead VC firm invests a significant chunk of its capital at a lower, preferential valuation, while putting a much smaller portion of capital in at a drastically higher price. The massive “headline” valuation that gets announced manufactures the perception of a dominant market winner, masking the fact that the lead investor’s actual average entry price was significantly lower.
The disparity can be stark. For example, when the AI-driven IT helpdesk startup Serval announced a million Series B at a billion valuation, the announcement didn’t tell the whole story. According to The Wall Street Journal, Sequoia’s actual lowest entry point valued the company at just 0 million — less than half the headline figure. The gap between those two numbers is the gap between perception and reality that Foody is pointing at.
Serval isn’t alone. At Aaru, a startup that uses AI to simulate user behavior for market research, lead investor Redpoint backed the company at a 0 million valuation despite an announced billion headline price.
Sequoia’s Shaun Maguire pushed back on Foody’s characterization directly. “TBH I have seen some of this behavior but I think it’s unfair to call it the ‘Sequoia scam,’” Maguire wrote in response to Foody on X. “This has happened approximately five times during my seven years at Sequoia. What happens is other investors are willing to pay a high price for a hot company — usually AI — at multiples above what we’re willing to pay. So we try to decouple the company-building relationship with our partner from the capital, and this leads to two tranches at different valuations in close succession.
“I’m not aware of anything shady here,” Maguire continued, “but if you’ve seen it I’d love to know. VC is a repeated game, so it just doesn’t make sense for us to try to mislead people. And if anyone has, I’d love to know. And in general, congrats on the success of Mercor — it was a miss for us.”
Maguire’s response frames the practice as a market reality rather than a deliberate maneuver — Sequoia, he suggests, is simply unwilling to pay what competitors will pay for the hottest deals, so it structures its participation differently. Whether that explanation fully holds up depends on a question Maguire doesn’t address: what founders are telling the people who don’t already know about the lower tranche.
Although Sequoia appears to use this pricing mechanism most frequently, Foody acknowledged it isn’t the only firm using this tactic. And while the dual-pricing structures certainly inflate a startup’s perceived worth and help attract top talent, calling the practice a “scam” may be going too far.
That’s because employee stock options should theoretically be priced based on the blended value of all tranches — not the headline number — according to Jason Woo, partner in valuation and financial modeling at Armanino, whose firm provides the independent 409A appraisals startups use to set option prices. A 409A is supposed to reflect a company’s fair market value, giving employees a strike price that’s insulated from whatever valuation gets announced in a press release.
There’s a catch: 409A valuations are widely understood to skew low. Because a lower strike price means a smaller tax bill for the company, there is a structural incentive to keep that number down. The appraisal that’s supposed to protect employees from an inflated headline valuation is also, by design, not trying particularly hard to reach the top of the range.
The angel question is more complicated. Unlike employees, angels are writing checks, not receiving options. There is no independent appraiser standing between an angel investor and whatever number a founder chooses to share.
The dual-pricing structure is just one of way VCs and founders game the perception of success in a hyper-competitive market. Another, more pervasive tactic involves manipulating or outright overstating annual recurring revenue (ARR).
The VC Niko Bonatsos, a longtime veteran of General Catalyst who more recently founded Verdict Capital, addressed this issue during one of TechCrunch’s events in Athens last month. “We [at Verdict] mostly invest before metrics, before product, before the company [has fully taken shape] but I do have a past portfolio, and sometimes the conversations are telling. I’ll get a call or an email with a very high ARR number. I’ll think: I didn’t remember that company doing so well. So I reach out to the founder: ‘What happened? Why are the numbers so strong?’ And the answer is: ‘Oh yeah, it’s 365 times the revenue we made yesterday because one of our campaigns hit.’ So yeah, some of these terms have lost meaning.”
Foody declined to comment further. Sequoia didn’t immediately respond to a request for comment.
— With additional reporting from Connie Loizos
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Mercors #Brendan #Foody #calls #Sequoia #dualpricing #valuation #tricks #TechCrunchMercor,Sequoia Partners,Valuations](https://i2.wp.com/techcrunch.com/wp-content/uploads/2024/11/GettyImages-1258486979.jpg?w=1024&ssl=1 "Mercor’s Brendan Foody calls out Sequoia over ‘dual-pricing’ valuation tricks | TechCrunch
In recent days, founders and founders-turned-investors took to X to share horror stories about being mistreated by VCs. Their complaints ranged from VCs falling asleep during pitch meetings to investors suggesting a founder fire a co-founder.
Brendan Foody, co-founder of the AI talent platform Mercor, which was last valued at billion, went so far as to call out Sequoia, arguably one of the most elite VC firms in the world.
“The “sequoia scam” is worse than a single horror story,” Foody wrote on X. “in the last 6 [months] ive seen a half dozen rounds where sequoia invests in 2 tranches. everyone pretends they only did the higher valuation. founders misrepresent this to their employees & then shop it to angels too.”
TechCrunch has previously reported on VCs investing in the same round at different valuations. Under this mechanism, the lead VC firm invests a significant chunk of its capital at a lower, preferential valuation, while putting a much smaller portion of capital in at a drastically higher price. The massive “headline” valuation that gets announced manufactures the perception of a dominant market winner, masking the fact that the lead investor’s actual average entry price was significantly lower.
The disparity can be stark. For example, when the AI-driven IT helpdesk startup Serval announced a million Series B at a billion valuation, the announcement didn’t tell the whole story. According to The Wall Street Journal, Sequoia’s actual lowest entry point valued the company at just 0 million — less than half the headline figure. The gap between those two numbers is the gap between perception and reality that Foody is pointing at.
Serval isn’t alone. At Aaru, a startup that uses AI to simulate user behavior for market research, lead investor Redpoint backed the company at a 0 million valuation despite an announced billion headline price.
Sequoia’s Shaun Maguire pushed back on Foody’s characterization directly. “TBH I have seen some of this behavior but I think it’s unfair to call it the ‘Sequoia scam,’” Maguire wrote in response to Foody on X. “This has happened approximately five times during my seven years at Sequoia. What happens is other investors are willing to pay a high price for a hot company — usually AI — at multiples above what we’re willing to pay. So we try to decouple the company-building relationship with our partner from the capital, and this leads to two tranches at different valuations in close succession.
“I’m not aware of anything shady here,” Maguire continued, “but if you’ve seen it I’d love to know. VC is a repeated game, so it just doesn’t make sense for us to try to mislead people. And if anyone has, I’d love to know. And in general, congrats on the success of Mercor — it was a miss for us.”
Maguire’s response frames the practice as a market reality rather than a deliberate maneuver — Sequoia, he suggests, is simply unwilling to pay what competitors will pay for the hottest deals, so it structures its participation differently. Whether that explanation fully holds up depends on a question Maguire doesn’t address: what founders are telling the people who don’t already know about the lower tranche.
Although Sequoia appears to use this pricing mechanism most frequently, Foody acknowledged it isn’t the only firm using this tactic. And while the dual-pricing structures certainly inflate a startup’s perceived worth and help attract top talent, calling the practice a “scam” may be going too far.
That’s because employee stock options should theoretically be priced based on the blended value of all tranches — not the headline number — according to Jason Woo, partner in valuation and financial modeling at Armanino, whose firm provides the independent 409A appraisals startups use to set option prices. A 409A is supposed to reflect a company’s fair market value, giving employees a strike price that’s insulated from whatever valuation gets announced in a press release.
There’s a catch: 409A valuations are widely understood to skew low. Because a lower strike price means a smaller tax bill for the company, there is a structural incentive to keep that number down. The appraisal that’s supposed to protect employees from an inflated headline valuation is also, by design, not trying particularly hard to reach the top of the range.
The angel question is more complicated. Unlike employees, angels are writing checks, not receiving options. There is no independent appraiser standing between an angel investor and whatever number a founder chooses to share.
The dual-pricing structure is just one of way VCs and founders game the perception of success in a hyper-competitive market. Another, more pervasive tactic involves manipulating or outright overstating annual recurring revenue (ARR).
The VC Niko Bonatsos, a longtime veteran of General Catalyst who more recently founded Verdict Capital, addressed this issue during one of TechCrunch’s events in Athens last month. “We [at Verdict] mostly invest before metrics, before product, before the company [has fully taken shape] but I do have a past portfolio, and sometimes the conversations are telling. I’ll get a call or an email with a very high ARR number. I’ll think: I didn’t remember that company doing so well. So I reach out to the founder: ‘What happened? Why are the numbers so strong?’ And the answer is: ‘Oh yeah, it’s 365 times the revenue we made yesterday because one of our campaigns hit.’ So yeah, some of these terms have lost meaning.”
Foody declined to comment further. Sequoia didn’t immediately respond to a request for comment.
— With additional reporting from Connie Loizos
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Mercors #Brendan #Foody #calls #Sequoia #dualpricing #valuation #tricks #TechCrunchMercor,Sequoia Partners,Valuations")
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