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Jensen Huang, co-founder and chief executive officer of Nvidia Corp., during a news conference in Taipei, Taiwan, on Tuesday, June 4, 2024. Nvidia is still working on the certification process for Samsung Electronics Co.’s high-bandwidth memory chips, a final required step before the Korean company can begin supplying a component essential to training AI platforms. 

Annabelle Chih | Bloomberg | Getty Images

Nvidia called DeepSeek’s R1 model “an excellent AI advancement,” despite the Chinese startup’s emergence causing the chip maker’s stock price to plunge 17% on Monday.

“DeepSeek is an excellent AI advancement and a perfect example of Test Time Scaling,”  an Nvidia spokesperson told CNBC on Monday. “DeepSeek’s work illustrates how new models can be created using that technique, leveraging widely-available models and compute that is fully export control compliant.”

The comments come after DeepSeek last week released R1, which is an open-source reasoning model that reportedly outperformed the best models from U.S. companies such as OpenAI. R1’s self-reported training cost was less than $6 million, which is a fraction of the billions that Silicon Valley companies are spending to build their artificial-intelligence models. 

Nvidia’s statement indicates that it sees DeepSeek’s breakthrough as creating more work for the American chip maker’s graphics processing units, or GPUs. 

Read more DeepSeek coverage

“Inference requires significant numbers of NVIDIA GPUs and high-performance networking,” the spokesperson added. “We now have three scaling laws: pre-training and post-training, which continue, and new test-time scaling.”

Nvidia also said that the GPUs that DeepSeek used were fully export compliant. That counters Scale AI CEO Alexandr Wang’s comments on CNBC last week that he believed DeepSeek used Nvidia GPUs models which are banned in mainland China. DeepSeek says it used special versions of Nvidia’s GPUs intended for the Chinese market.

Analysts are now asking if multi-billion dollar capital investments from companies like Microsoft, Google and Meta for Nvidia-based AI infrastructure are being wasted when the same results can be achieved more cheaply. 

Earlier this month, Microsoft said it is spending $80 billion on AI infrastructure in 2025 alone while Meta CEO Mark Zuckerberg last week said the social media company planned to invest between $60 to $65 billion in capital expenditures in 2025 as part of its AI strategy. 

“If model training costs prove to be significantly lower, we would expect a near-term cost benefit for advertising, travel, and other consumer app companies that use cloud AI services, while long-term hyperscaler AI-related revenues and costs would likely be lower,” wrote BofA Securities analyst Justin Post in a note on Monday.

Nvidia’s comment also reflects a new theme that Nvidia CEO Jensen Huang, OpenAI CEO Sam Altman and Microsoft CEO Satya Nadella have discussed in recent months.

Much of the AI boom and the demand for Nvidia GPUs was driven by the “scaling law,” a concept in AI development proposed by OpenAI researchers in 2020. That concept suggested that better AI systems could be developed by greatly expanding the amount of computation and data that went into building a new model, requiring more and more chips.

Since November, Huang and Altman have been focusing on a new wrinkle to the scaling law, which Huang calls “test-time scaling.” 

This concept says that if a fully trained AI model spends more time using extra computer power when making predictions or generating text or images to allow it to “reason,” it will provided better answers than it would have if it ran for less time. 

Forms of the test-time scaling law are used in some of OpenAI’s models such as o1 as well as DeepSeek’s breakthrough R1 model.

WATCH: DeepSeek challenging sense of U.S. exceptionalism priced into markets, fund manager says

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Tesla owners are trading in their EVs at record levels, Edmunds says

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Tesla owners are trading in their EVs at record levels, Edmunds says

A Tesla store in Alhambra, California on March 11, 2025.

Frederic J. Brown | AFP | Getty Images

As Elon Musk wraps up his second month in the White House, Tesla owners are trading in their electric vehicles at record levels, according to an analysis by national car shopping site Edmunds.

The data from Edmunds published on Thursday said that March represented “the highest ever share” it had seen for Tesla trade-ins toward new or used cars from dealerships selling other brands.

Since heading to Washington, D.C. in January as a central figure in the second Trump administration, Musk has been slashing the federal workforce and government spending, and has gained access to sensitive government computer systems and data, though his efforts have been repeatedly challenged in court.

Prior to assuming leadership of the Department of Government Efficiency (DOGE), Musk spent around $290 million last year to help propel President Donald Trump back to the White House.

While investors snapped up Tesla shares after Trump’s victory in November, they’ve been rushing for the exits of late, pushing the stock’s price down by 42% this year. Waves of protests have targeted Tesla facilities in the U.S. and beyond. Other criminal acts of vandalism and arson have targeted Tesla stores, vehicles and charging stations across the U.S.

In addition, Tesla is facing increased competition from EV makers. In January, S&P Global Mobility found Tesla sales declined about 11% year-over-year in the U.S., while Ford, Chevrolet and Volkswagen bolstered their sales of EVs, picking up market share.

“Shifts in Tesla consumer sentiment could create an opportunity for legacy automakers and EV startups to gain ground,” Jessica Caldwell, head of insights at Edmunds, wrote in an email. “As Tesla brand loyalty and interest wavers, those offering competitive pricing, new technology, or simply less controversy could capture defecting Tesla owners and first-time EV buyers.”

The Tesla brand, more than that of any other automaker, is tightly tied to its CEO. In August 2024, Edmunds surveys found that just 2% of car shoppers in the U.S. were unfamiliar with Musk.

Edmunds also said that shopping for new models of Tesla vehicles on its platform dropped to its lowest level last month since October 2022 after peaking as late as November.

Even before Musk began heading up DOGE, Tesla’s brand was suffering. Its brand value fell by 26%, or about $15 billion, in 2024, a second straight annual decline, according to research and consulting firm Brand Finance.

Many car shoppers trade in their Tesla EVs for a newer model Tesla. Edmunds data didn’t account for those transactions.

Tesla didn’t immediately respond to a request for comment.

WATCH: Tesla’s core issues more detrimental than short-term political headwinds

Tesla's core issues more detrimental than short-term political headwinds: Wells Fargo's Langan

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Micron shares jump on earnings beat, rosy guidance as data center revenue triples

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Micron shares jump on earnings beat, rosy guidance as data center revenue triples

Signage outside the Micron offices in San Jose, California, on Dec. 17, 2024.

David Paul Morris | Bloomberg | Getty Images

Micron shares popped 6% in extended trading Thursday after the company reported second-quarter results that beat analysts’ estimates and offered better-than-expected guidance.

Here’s how the company did:

  • Earnings per share: $1.56, adjusted vs. $1.42 expected by LSEG
  • Revenue: $8.05 billion vs. $7.89 billion expected by LSEG

Revenue increased 38% from $5.82 billion during the same period in 2024, Micron said in a press release. The memory and storage solutions company reported net income of $1.58 billion, or $1.41 per share, up from $793 million, or 71 cents per share, in the year-ago quarter.

Data center revenue tripled, the company said.

Revenue for the fiscal third quarter will be about $8.8 billion, Micron said, topping the $8.5 billion average analyst estimate, according to LSEG. Adjusted earnings will be roughly $1.57 a share, the company said, beating the $1.47 average estimate.

Prior to Thursday’s close, Micron shares were up 22% for the year, while the Nasdaq is down more than 8%.

Micron will host its quarterly call with investors at 4:30 p.m. ET.

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BlackRock’s head of digital assets says staking could be a ‘huge step change’ for ether ETFs

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BlackRock’s head of digital assets says staking could be a ‘huge step change’ for ether ETFs

Omar Marques | Lightrocket | Getty Images

Appetite for ether ETFs has been tepid since their launch last July, but that could change if some of the regulatory wrinkles holding them back get “resolved,” according to Robert Mitchnick, head of digital assets at BlackRock.

There’s a widely held view that the success of ether ETFs has been “meh” compared to the explosive growth in funds tracking bitcoin, Mitchnick said at the Digital Asset Summit in New York City Thursday. Though he sees that as a “misconception,” he acknowledged that the inability to earn a staking yield on the funds is likely one thing holding them back.

“There’s obviously a next phase in the potential evolution of [ether ETFs],” he said. “An ETF, it’s turned out, has been a really, really compelling vehicle through which to hold bitcoin for lots of different investor types. There’s no question it’s less perfect for ETH today without staking. A staking yield is a meaningful part of how you can generate investment return in this space, and all the [ether] ETFs at launch did not have staking.”

Staking is a way for investors to earn passive yield on their cryptocurrency holdings by locking tokens up on the network for a period of time. It allows investors to put their crypto to work if they’re not planning to sell it anytime soon.

But Mitchnick doesn’t expect a simple fix.

“It’s not a particularly easy problem,” he explained. “It’s not as simple as … a new administration just green-lighting something and then boom, we’re all good, off to the races. There are a lot of fairly complex challenges that have to be figured out, but if that can get figured out, then it’s going to be sort of a step change upward in terms of what we see the activity around those products is.”

The Securities and Exchange Commission has historically viewed some staking services as potential unregistered securities offerings under the Howey Test – which is used to determine whether an asset is an investment contract and therefore, a security. But a more crypto friendly SEC is moving swiftly to reverse the damage done to the industry under the previous regime. Its newly formed crypto task force is scheduled to kick off a roundtable series Friday focused on defining the security status of digital assets.

Ether has been one of the most beaten up cryptocurrencies in recent months. It’s down more than 40% year to date as it has struggled with conflicting and difficult-to-comprehend narratives, weaker revenue since its last big technical upgrade and increasing competition from Solana. Standard Chartered this week slashed its price target on the coin by more than half.

Mitchnick said the negativity is “overdone.”

“ETH … at the second grade level is easier to define … but at the 10th grade level is a lot harder,” he said. “Second grade level: it’s a technology innovation story. … Beyond that, it does get a little more vast, a little more complicated. It’s about being a bet on blockchain adoption and innovation. That’s part of the thesis as we communicate it to clients.”

“There are three [use cases] that we focus on that have a lot of resonance with our client base: it’s a bet to some extent on tokenization, on stablecoin adoption, and on decentralized financing,” he added. “It does take a fair bit of education, and we’ve been on that journey, but it’s going to take more time.”

BlackRock is the issuer of the iShares Ethereum Trust ETF. It also has a tokenized money market fund, known as BUIDL, which it initially launched a year ago on Ethereum and has since expanded to several other networks including Aptos and Polygon.

Don’t miss these cryptocurrency insights from CNBC Pro:

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