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Luke Kawa

Why Jensen Huang should be embarrassed that he didn’t know quantum computing companies were publicly traded

During Nvidia’s Quantum Day at GTC, CEO Jensen Huang admitted that he didn’t know quantum computing companies were publicly traded when he remarked in early January that it would likely be decades before the technology was “useful.”

Those remarks prompted very publicly traded quantum computing companies to lose billions in market value thereafter.

If I were one of the handful of executives from a publicly traded quantum computing company sitting there on Thursday, I’d be faking a smile through gritted teeth at hearing Huang’s story. Why?

They’re not only buyers of the chip designer’s high-powered products and software. In some cases, they’re also partners, as Nvidia has been supporting the development of these companies and their technology.

To take Huang at his own words, from those same early January remarks on the utility of quantum computing: “Just about every quantum computing company in the world is working with us now.”

Their executives have even been cited in press releases together!

From a joint press release from Rigetti Computing and Quantum Machines in December announcing how they were able to calibrate a quantum computer using the help of AI:

“AI is a critical tool for advancing quantum computing,” said Tim Costa, senior director of CAE, EDA, and Quantum at Nvidia. “This latest work shows how the scalable control of quantum hardware needed for useful applications hinges on advances in AI.”

And from an IonQ press release in November:

“Useful quantum applications will need to draw on both quantum hardware and AI supercomputing resources,” said Elica Kyoseva, director of Quantum Algorithm Engineering at Nvidia. “The CUDA-Q platform is allowing researchers and developers to explore these paradigms by accessing Nvidia accelerated computing alongside IonQ’s quantum processors.”

I get that Huang has had a lot of things on his mind (mainly the Blackwell ramp and the product road map to come), and that “useful” quantum computing is even further away in his mental timeline than the most advanced stuff Nvidia’s dreaming up right now, but still, yeesh.

Those remarks prompted very publicly traded quantum computing companies to lose billions in market value thereafter.

If I were one of the handful of executives from a publicly traded quantum computing company sitting there on Thursday, I’d be faking a smile through gritted teeth at hearing Huang’s story. Why?

They’re not only buyers of the chip designer’s high-powered products and software. In some cases, they’re also partners, as Nvidia has been supporting the development of these companies and their technology.

To take Huang at his own words, from those same early January remarks on the utility of quantum computing: “Just about every quantum computing company in the world is working with us now.”

Their executives have even been cited in press releases together!

From a joint press release from Rigetti Computing and Quantum Machines in December announcing how they were able to calibrate a quantum computer using the help of AI:

“AI is a critical tool for advancing quantum computing,” said Tim Costa, senior director of CAE, EDA, and Quantum at Nvidia. “This latest work shows how the scalable control of quantum hardware needed for useful applications hinges on advances in AI.”

And from an IonQ press release in November:

“Useful quantum applications will need to draw on both quantum hardware and AI supercomputing resources,” said Elica Kyoseva, director of Quantum Algorithm Engineering at Nvidia. “The CUDA-Q platform is allowing researchers and developers to explore these paradigms by accessing Nvidia accelerated computing alongside IonQ’s quantum processors.”

I get that Huang has had a lot of things on his mind (mainly the Blackwell ramp and the product road map to come), and that “useful” quantum computing is even further away in his mental timeline than the most advanced stuff Nvidia’s dreaming up right now, but still, yeesh.

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Arista Networks Reports Q3 Earnings

Arista Networks beats expectations, but stock dives on mediocre guidance

All those data centers are going to need a lot of switches and routers as well as GPUs.

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AMD posts top- and bottom-line beat in Q3 with Q4 sales guidance ahead of estimates

Advanced Micro Devices reported third-quarter results that exceeded analysts’ expectations on the top and bottom lines, with guidance to match.

  • Adjusted diluted earnings per share: $1.20 (compared to an analyst consensus estimate of $1.17)

  • Revenue: $9.25 billion (estimate: $8.74 billion, guidance: $8.4 billion to $9 billion)

  • Data center revenue: $4.34 billion (estimate: $4.14 billion)

  • Adjusted gross margin: 54% (estimate: 54%, guidance: 54%)

Its Q4 guidance for sales of $9.3 billion to $9.9 billion was strong relative to the anticipated $9.2 billion, while its adjusted gross margin outlook of 54.5% is bang in line with estimates.

Even so, shares are off about 2% in after-hours trading as of 4:24 p.m. ET.

“AMDs strong 3Q sales beat and 4Q outlook were likely driven by stronger PC and server CPU demand — similar to Intels results — along with continued share gains,” Bloomberg Intelligence analysts Kunjan Sobhani and Oscar Hernandez Tejada wrote. “The GPU ramp-up remains ahead of expectations, aided by a gaming rebound.”

AMD has had a high-profile Q4 so far, striking a megadeal with OpenAI that its CFO said “is expected to deliver tens of billions of dollars in revenue.” That announcement prompted more than 20 price target hikes from Wall Street analysts in a 24-hour span.

The company followed that up with a pact with Oracle, which said it would deploy 50,000 of AMD’s new flagship chips in data centers starting in the second half of next year. On the upcoming conference call, the Street will be looking for as much color as possible on the sales outlook for those MI450 chips.

Ahead of this release, Morgan Stanley analyst Joseph Moore wrote:

“The focus should remain on MI450. AMDs rack scale solution shipping next year is the key, and we are excited to see what the company can do. Its still early to make market share assessments, and while the Open AI agreement is clearly an accelerant, the reliance on cloud providers to ramp those 6 gigawatts still creates some uncertainty. Ultimately, to drive share gains, the company will need to provide better ROI than NVIDIA can offer, and customers still raise questions about that given lower rack density and the need to resolve ecosystem issues.

The chip designer was the third-best-performing member of the VanEck Semiconductor ETF in 2025 heading into this report, with shares having more than doubled year to date.

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