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AMD launched a new artificial-intelligence chip on Thursday that is taking direct aim at Nvidia’s data center graphics processors, known as GPUs.

The Instinct MI325X, as the chip is called, will start production before the end of 2024, AMD said Thursday during an event announcing the new product. If AMD’s AI chips are seen by developers and cloud giants as a close substitute for Nvidia’s products, it could put pricing pressure on Nvidia, which has enjoyed roughly 75% gross margins while its GPUs have been in high demand over the past year.

Advanced generative AI such as OpenAI’s ChatGPT requires massive data centers full of GPUs in order to do the necessary processing, which has created demand for more companies to provide AI chips.

In the past few years, Nvidia has dominated the majority of the data center GPU market, but AMD is historically in second place. Now, AMD is aiming to take share from its Silicon Valley rival or at least to capture a big chunk of the market, which it says will be worth $500 billion by 2028.

“AI demand has actually continued to take off and actually exceed expectations. It’s clear that the rate of investment is continuing to grow everywhere,” AMD CEO Lisa Su said at the event.

AMD didn’t reveal new major cloud or internet customers for its Instinct GPUs at the event, but the company has previously disclosed that both Meta and Microsoft buy its AI GPUs and that OpenAI uses them for some applications. The company also did not disclose pricing for the Instinct MI325X, which is typically sold as part of a complete server.

With the launch of the MI325X, AMD is accelerating its product schedule to release new chips on an annual schedule to better compete with Nvidia and take advantage of the boom for AI chips. The new AI chip is the successor to the MI300X, which started shipping late last year. AMD’s 2025 chip will be called MI350, and its 2026 chip will be called MI400, the company said.

The MI325X’s rollout will pit it against Nvidia’s upcoming Blackwell chips, which Nvidia has said will start shipping in significant quantities early next year.

A successful launch for AMD’s newest data center GPU could draw interest from investors that are looking for additional companies that are in line to benefit from the AI boom. AMD is only up 20% so far in 2024 while Nvidia’s stock is up over 175%. Most industry estimates say Nvidia has over 90% of the market for data center AI chips.

AMD stock fell 3% during trading on Thursday.

AMD’s biggest obstacle in taking market share is that its rival’s chips use their own programming language, CUDA, which has become standard among AI developers. That essentially locks developers into Nvidia’s ecosystem.

In response, AMD this week said that it has been improving its competing software, called ROCm, so that AI developers can more easily switch more of their AI models over to AMD’s chips, which it calls accelerators.

AMD has framed its AI accelerators as more competitive for use cases where AI models are creating content or making predictions rather than when an AI model is processing terabytes of data to improve. That’s partially due to the advanced memory AMD is using on its chip, it said, which allows it to server Meta’s Llama AI model faster than some Nvidia chips.

“What you see is that MI325 platform delivers up to 40% more inference performance than the H200 on Llama 3.1,” said Su, referring to Meta’s large-language AI model.

Taking on Intel, too

While AI accelerators and GPUs have become the most intensely watched part of the semiconductor industry, AMD’s core business has been central processors, or CPUs, that lay at the heart of nearly every server in the world.

AMD’s data center sales during the June quarter more than doubled in the past year to $2.8 billion, with AI chips accounting for only about $1 billion, the company said in July.

AMD takes about 34% of total dollars spent on data center CPUs, the company said. That’s still less than Intel, which remains the boss of the market with its Xeon line of chips. AMD is aiming to change that with a new line of CPUs, called EPYC 5th Gen, that it also announced on Thursday.

Those chips come in a number of different configurations ranging from a low-cost and low-power 8-core chip that costs $527 to 192-core, 500-watt processors intended for supercomputers that cost $14,813 per chip.

The new CPUs are particularly good for feeding data into AI workloads, AMD said. Nearly all GPUs require a CPU on the same system in order to boot up the computer.

“Today’s AI is really about CPU capability, and you see that in data analytics and a lot of those types of applications,” Su said.

WATCH: Tech trends are meant to play out over years, we’re still learning with AI, says AMD CEO Lisa Su

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Meta approached Perplexity before massive Scale AI deal

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Meta approached Perplexity before massive Scale AI deal

Meta approached Perplexity before massive Scale AI deal

Meta approached artificial intelligence startup Perplexity AI about a potential takeover bid before ultimately investing $14.3 billion into Scale AI, CNBC confirmed on Friday.

The two companies did not finalize a deal, according to two people familiar with the matter who asked not to be named because of the confidential nature of the negotiations.

One person familiar with the talks said it was “mutually dissolved,” while another person familiar with the matter said Perplexity walked away from a potential deal.

Bloomberg earlier reported the talks between Meta and Perplexity. Perplexity declined to comment. Meta did not immediately respond to CNBC’s request for comment.

Meta’s attempt to purchase Perplexity serves as the latest example of Mark Zuckerberg‘s aggressive push to bolster his company’s AI efforts amid fierce competition from OpenAI and Google parent Alphabet. Zuckerberg has grown agitated that rivals like OpenAI appear to be ahead in both underlying AI models and consumer-facing apps, and he is going to extreme lengths to hire top AI talent, as CNBC has previously reported.

Read more CNBC reporting on AI

Meta now has a 49% stake in Scale after its multibillion-dollar investment, though the social media company will not have any voting power. Scale AI’s founder Alexandr Wang, along with a small number of other Scale employees, will join Meta as part of the agreement.

Earlier this year, Meta also tried to acquire Safe Superintelligence, which was reportedly valued at $32 billion in a fundraising round in April, as CNBC reported on Thursday.

Daniel Gross, the CEO of Safe Superintelligence, and former GitHub CEO Nat Friedman are joining Meta’s AI efforts, where they will work on products under Wang. Gross runs a venture capital firm with Friedman called NFDG, their combined initials, and Meta will get a stake in the firm.

OpenAI CEO Sam Altman said on the latest episode of the “Uncapped” podcast, which is hosted by his brother, that Meta had tried to poach OpenAI employees by offering signing bonuses as high as $100 million with even larger annual compensation packages.

“I’ve heard that Meta thinks of us as their biggest competitor,” Altman said on the podcast. “Their current AI efforts have not worked as well as they have hoped and I respect being aggressive and continuing to try new things.”

–CNBC’s Kate Rooney contributed to this report

WATCH: Meta tried to buy Perplexity before Scale AI deal

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Why ether ETF inflows have come roaring back from the dead

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Why ether ETF inflows have come roaring back from the dead

Omar Marques | Lightrocket | Getty Images

Ether ETFs have finally come to life this year after some started to fear they may be becoming zombie funds.

Collectively, the funds tracking the price of spot ether are on pace for their sixth consecutive week of inflows and eight positive week in the last nine, according to SoSoValue.

The second largest cryptocurrency has become more attractive to institutions in recent weeks largely due to recent regulatory momentum in the U.S. around stablecoins – many of which run on the Ethereum network – the successful IPO of Circle, the issuer of the second-largest stablecoin; and new leadership at the Ethereum Foundation.

“What we’re seeing is institutional recalibration,” said Ben Kurland, CEO at crypto charting and research platform DYOR. “After the initial ETH ETF approval fizzled without a price pop, smart money started quietly building positions. They’re betting not on price momentum but on positioning ahead of utility unlocks like staking access, options listings, and eventually inflows from retirement platforms.”

The first year of ether ETFs, which launched in July 2024, has been characterized by weak demand. While the funds have had spikes in inflows, they’ve trailed far behind bitcoin ETFs in both inflows and investor attention – amassing about $3.9 billion in net inflows since listing versus bitcoin ETFs’ $36 billion in their first year of trading.

“With increasing acceptance of crypto on Wall Street, especially now as a means for payments and remittances, investors are being drawn to ETH ETFs,” said Chris Rhine, head of liquid active strategies at Galaxy Digital.

Additionally, he added, the CME basis on ether – or the price difference between ether futures and the spot price – is higher than that of bitcoin, giving arbitrageurs an opportunity to profit by going long on ether ETFs while shorting futures (a common trading strategy) and contributing to the uptrend in ether ETF inflows.

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Ether (ETH) 1 month

Despite the uptrend in inflows, the price of ether itself is negative for this month and flat over the past month.

For the year, it’s down 25% as it’s been suffering from an identity crisis fueled by uncertainty about Ethereum’s value proposition, weaker revenue since its last big technical upgrade and increasing competition from Solana. Market volatility driven by geopolitical uncertainty this year has not helped.

In March, Standard Chartered slashed its ether price target by more than half. However, the firm also said the coin could still see a turnaround this year.

Since last week’s big spike in inflows, they’ve “slowed but stayed net positive, suggesting conviction, not hype,” Kurland said. “The market looks like a heart monitor, but the buyers are treating it like a long-term infrastructure bet.”

Don’t miss these cryptocurrency insights from CNBC Pro:

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Chip stocks fall on report U.S. could terminate waivers for Taiwan Semi and others

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Chip stocks fall on report U.S. could terminate waivers for Taiwan Semi and others

A motorcycle is seen near a building of the Taiwan Semiconductor Manufacturing Company (TSMC), which is a Taiwanese multinational semiconductor contract manufacturing and design company, in Hsinchu, Taiwan, on April 16, 2025.

Daniel Ceng | Anadolu | Getty Images

Semiconductor stocks declined Friday following a report that the U.S. is weighing measures that would terminate waivers allowing some chipmakers to send American technology to China.

Commerce Department official Jeffrey Kessler told Samsung Electronics, SK Hynix and Taiwan Semiconductor this week that he wanted to cancel their waivers, which allow them to send U.S. chipmaking tech to their factories in China, the Wall Street Journal reported, citing people familiar with the matter.

The VanEck Semiconductor ETF declined about 1%. Nvidia, Qualcomm and Marvell Technology fell about 1%, while Taiwan Semiconductor slipped about 2%.

The latest reported move by the Commerce Department comes as the U.S. and China hold an unsteady truce over tariffs and trade, with chip controls a key sticking point.

Read more CNBC tech news

The countries agreed to the framework of a second trade agreement in London days ago after relations soured following the initial tariff pause in May.

The U.S. issued several chip export changes after the May pause that rattled relations, with China calling the rules “discriminatory.”

U.S. chipmakers have been hit with curbs over the last few years, limiting the ability to sell advanced artificial intelligence chips to China due to national security concerns.

During its earnings report last month, Nvidia said the recent export restriction on its China-bound H20 chips hindered sales by about $8 billion.

Nvidia CEO Jensen Huang told investors on an earnings call that the $50 billion market in China for AI chips is “effectively closed to U.S. industry.” During a CNBC interview in May, he called getting blocked from China’s AI market a “tremendous loss.”

Read the full WSJ report here.

WATCH: U.S. prepares action targeting allies’ ability to ship American chip-making equipment to China

U.S. prepares action targeting allies' ability to ship American chip-making equipment to China

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