The Hugging Face website on a smartphone arranged in New York, Aug. 17, 2023.
Gabby Jones | Bloomberg | Getty Images
Hugging Face, an AI firm based in New York, has raised $235 million at a $4.5 billion valuation from some of technology’s biggest companies.
Google, Amazon, Nvidia, Salesforce, AMD, Intel, IBM and Qualcomm all contributed to the round, the company said. Hugging Face CEO Clement Delangue said the funds are to be focused on hiring talent to be competitive in the artificial intelligence space.
Startups working on AI models have reached high valuations as big companies and venture capitalists seek to plow money in the recent AI boom, which kicked off last year when Microsoft-backed OpenAI released its ChatGPT chatbot.
Hugging Face’s big valuation and crop of prominent backers reflect how a more collaborative approach to building AI has been gaining steam in recent months, especially after Facebook parent Meta released its Llama large language model, which is free to use for the vast majority of companies.
Other highly valued AI startups, like OpenAI or Cohere, work on the technology directly and guard the results as a trade secret, then charge customers to access them through application programming interfaces, or AIs.
But Hugging Face produces a platform where AI developers can share code, models, data sets, and use the company’s developer tools to get open-source artificial intelligence models running more easily. In particular, Hugging Face often hosts weights, or large files with lists of numbers, which are the heart of most modern AI models.
While Hugging Face has developed some models, like BLOOM, its primary product is its website platform, where users can upload models and their weights. It also develops a series of software tools called libraries that allow users to get models working quickly, to clean up large datasets, or to evaluate their performance. It also hosts some AI models in a web interface so end users can experiment with them.
It’s similar in theme and practice to code-repository GitHub (which Microsoft acquired in 2018), where coders from around the world post their projects while they’re working on them.
Hugging Face endorses the belief that most companies working with AI will want to develop their own models or technology, and will need tools to do so, co-founder and CEO Delangue told CNBC. He hopes that AI developers will rely on Hugging Face on a daily basis to get their work done.
One reason the big companies are investing: Their employees are actively using the platform, he said.
“AI builders are using Hugging Face all day, every day,” Delangue said. He predicted that the number of software developers working with AI models would grow in the coming years.
“Maybe in five years, you’re going to have like 100 million AI builders. And if all of them use Hugging Face all day, every day, we’ll obviously be in a good position,” he said.
Although most attention in recent weeks has been on so-called large language models like ChatGPT or Llama that focus on generating text, Hugging Face hosts any AI model, including ones that generate music or images, translate languages, or identify objects inside images. Hugging Face hosts 500,000 different AI models, 250,000 data sets, and has 10,000 paying customers, the company said.
Hugging Face is named after an emoji, the hugging face, a smiley face framed by two open hands.
The name and logo date back to the company’s founding. Hugging Face was originally a iPhone chatbot app, but when the company open-sourced some its machine-learning code, it realized that it was catching on with AI developers, and pivoted toward that.
“When we started the company, with my co founders Julien Chaumond and Thomas Wolf, we joked that we wanted to be the first company to go public with an emoji instead of the three letter ticker,” Delangue said.
“Maybe during this round we should start our lobbying exercise with the Nadsaq for them to allow us to use emojis on their board,” he quipped.
Co-founder and chief executive officer of Nvidia Corp., Jensen Huang attends the 9th edition of the VivaTech trade show in Paris on June 11, 2025.
Chesnot | Getty Images Entertainment | Getty Images
Nvidia has just shelled out over $900 million to hire Enfabrica CEO Rochan Sankar and other employees at the artificial intelligence hardware startup, and to license the company’s technology, CNBC has learned.
In a deal reminiscent of recent AI talent acquisitions made by Meta and Google, Nvidia is paying cash and stock in the transaction, according to two people familiar with the arrangement. The deal closed last week, and Enfabrica CEO Rochan Sankar has joined Nvidia, said the people, who asked not to be named because the matter is private.
Nvidia has served as the backbone of the AI boom that began with the launch of OpenAI’s ChatGPT in late 2022. The company’s graphics processing units (GPUs), which are generally purchased in large clusters, power the training of large language models and allow for big cloud providers to offer AI services to clients.
Enfabrica, founded in 2019, says its technology can connect more than 100,000 GPUs together. It’s a solution that could help Nvidia offer integrated systems around its chips so clusters can effectively serve as a single computer.
A spokesperson for Nvidia declined to comment, and Enfabrica didn’t provide a comment for this story.
While Nvidia’s earlier AI chips like the A100 were single processors slotted into servers, its most recent products come in tall racks with 72 GPUs installed working together. That’s the kind of system inside the $4 billion data center in Wisconsin that Microsoft announced on Thursday.
Nvidia previously invested in Enfabrica as part of a $125 million Series B round in 2023 that was led by Atreides Management. The company didn’t disclose its valuation at the time, but said that it was a fivefold increase from its Series A funding.
Late last year, Enfabrica raised another $115 million from investors including Spark Capital, Arm, Samsung and Cisco. According to PitchBook, the post-money valuation was about $600 million.
Tech giants Meta, Google, Microsoft and Amazon have all poured money into hiring top AI talent through deals that resemble acquihires. The transactions allow the companies to bring in top engineers and researchers without worrying about the regulatory hassles that come with acquisitions.
The biggest such deal came in June, when Meta spent $14.3 billion on Scale AI founder Alexandr Wang and others and took a 49% stake in the AI startup. A month later, Google announced an agreement to bring in Varun Mohan, co-founder and CEO of artificial intelligence coding startup Windsurf, and other research and development employees in a $2.4 billion deal that also included licensing fees.
Last year, Google made a similar deal to bring in the founders of Character.AI. Microsoft did the same thing for Inflection, as did Amazon for Adept.
While Nvidia has been a big investor in AI technologies and infrastructure, it hasn’t been a significant acquirer. The company’s only billion-dollar-plus deal was for Israeli chip designer Mellanox, a $6.9 billion purchase announced in 2019. Much of Nvidia’s current Blackwell product lineup is enabled by networking technology that it acquired through that acquisition.
Nvidia tried to buy chip design company Arm, but that deal collapsed in 2022 due to regulatory pressure. In the past year, Nvidia closed a $700 million purchase of Run:ai, an Israeli company whose technology helps software makers optimize their infrastructure for AI.
On Thursday, Nvidia announced one of its most sizable investments to date. The chipmaker said it’s taken a $5 billion stake in Intel, and announced that the two companies will collaborate on AI processors. Nvidia also said this week that it invested close to $700 million in U.K. data center startup Nscale.
— Correction: A prior version of this story mistakenly included the name of a company as an investor in Enfabrica.
CrowdStrike logo is seen in this illustration taken July 29, 2024.
Dado Ruvic | Reuters
CrowdStrike shares popped about 13%, a day after the cybersecurity firm issued better-than-expected long-term guidance at its investor day.
The company on Wednesday said it expects net new annual recurring revenues to grow at least 20% in 2027, ahead of analysts’ expectations. CrowdStrike plans for ARR to hit $10 billion by 2031, and then double to $20 billion by 2036.
“CrowdStrike is by far the most advanced security platform in the industry, and the plethora of AI-based solutions announced today will further separate CrowdStrike from the competition,” wrote Wells Fargo analyst Andrew Nowinski in a note following the event.
Some Wall Street firms also boosted their price targets.
Read more CNBC tech news
Cybersecurity has taken center stage this year as businesses beef up security in the age of artificial intelligence. Many companies have harnessed AI tools to strengthen their offering as threats rise in sophistication.
Nvidia CEO Jensen Huang attends the “Winning the AI Race” Summit in Washington D.C., U.S., July 23, 2025.
Kent Nishimura | Reuters
Nvidia CEO Jensen Huang said that the company’s $5 billion investment and technology collaboration with Intel comes after the two companies held discussions for nearly a year.
Huang said that he communicated personally with Intel CEO Lip-Bu Tan about the partnership. He called Tan a “longtime friend” on a Thursday call with reporters after the companies announced that Nvidia would co-develop data center and PC chips with Intel as part of the investment deal. On the call, Tan said he and Huang have known each other for 30 years.
“We thought it was going to be such an incredible investment,” Huang said.
Nvidia said it will collaborate with the chipmaker to create artificial intelligence systems for data centers that combine Intel’s x86-based central processors with Nvidia’s graphics processors and networking.
Intel will also sell CPUs for PCs and notebooks that integrate Nvidia graphics processors, or GPUs.
The transaction itself took a few months to come together, Intel’s revenue chief Greg Ernst wrote in a LinkedIn post, adding that the agreement was reached on Saturday.
The investment highlights how the fortunes of the two companies have switched atop Silicon Valley’s pecking order as a result of the AI explosion ushered in by OpenAI’s launch of ChatGPT in late 2022.
Intel shares are down 31.78% in the last five years, while Nvidia shares are up 1,348% as of opening prices on Thursday. Nvidia is worth over $4.25 trillion, while Intel is only worth $143 billion.
How Intel and Nvidia will collaborate
For decades, the most important part in a PC or server was the central processor, and Intel dominated the market for those chips. But AI infrastructure, like the machines in the $4 billion data center Microsoft announced on Thursday, often needs two or more Nvidia GPUs for every one CPU.
Nvidia AI systems, like the NVL72 used by Microsoft, come with Arm-based CPUs, instead of Intel x86-based CPUs. On the call, Huang said Nvidia will soon support Intel’s CPUs in its NVLink racks for AI.
“We’ll buy those CPUs from from Intel, and then we’ll connect it into super chips that then becomes our compute node, that then gets integrated into a rack scale AI supercomputer,” Huang said.
Nvidia will also contribute GPU technology to Intel chips that ship in laptops and PCs, which is an underserved market, Huang said. In total, the addressable markets for the two product collaborations are worth $50 billion, Huang said.
“We’re going to become a very large customer of Intel CPUs, and we’re going to be a large supplier of GPU chiplets into Intel” chips, he said.
Huang said the deal with Intel will have “no” impact on Nvidia’s business relationship with Arm.
Thursday’s investment deal is focused on the relationship between Nvidia and Intel’s product division, not its foundry. The two companies, however, did not rule out future foundry partnerships.
“We’ve always evaluated Intel’s foundry technology, and we’re going to continue to do it, but today, this announcement, is squarely focused on these custom CPUs,” Huang said. Nvidia currently uses Taiwan Semiconductor Manufacturing Company to manufacture its chips.
The collaboration will use Intel’s packaging, which is a part chip manufacturing that occurs toward the end of the process and combines several chip components into a single part that can be installed in machines.
Intel CEO Lip-Bu Tan makes a speech on stage in Taipei, Taiwan May 19, 2025.
Ann Wang | Reuters
Tan said he was grateful for Nvidia’s vote of confidence.
“‘I’d like to thank Jensen for the confidence in me, and our team and Intel will work really hard to make sure it’s a good return for you,” Tan said.
Last year, Intel’s board removed previous CEO Pat Gelsinger because of rising costs in its manufacturing business and the company’s failure to gain a foothold in AI chips. In March, Intel named Tan, a well-connected investor who had turned around chip software firm Cadence Design Systems, its new chief executive.
Tan has focused on cutting costs and raising money in his short tenure leading Intel even as the future of the company’s manufacturing business, called Intel Foundry, remains unclear.
In addition to the $5 billion from Nvidia and $8.9 billion from the U.S. government, Intel has taken a $2 billion investment from SoftBank, sold a majority stake in its ASIC subsidiary Altera to Silver Lake for $3.3 billion and sold $1 billion in stock from Mobileye, its self-driving car subsidiary.
Intel has also cut significant staff, saying in July that it would eliminate 15% of its workforce by the end of the year.
The company develops its own chips as well as manufacturing them. It wants to manufacture chips for companies like Nvidia or Apple, but has yet to secure them as customers. Analysts say Intel needs a big foundry client to signal that its technology is stable and ready for volume production.
But cutting-edge chip manufacturing is expensive, and Intel has signaled that if it can’t get enough customers, it may not continue investing in its foundry. That could spark a reaction from Washington, whose politicians and lobbyists consider Intel to be strategically important for the nation because it is the only American company capable of manufacturing the most advanced chips.
The Trump administration took a 10% stake in Intel in August. Intel was previously in line to receive $8.9 billion in grants and loans from the CHIPS Act, but the Trump administration asked and received an equity stake in the chipmaker in exchange for the money.
Huang was with Trump this week in England to attend a State Dinner at Windsor Palace and announce new projects and investments in the U.K. But the Trump administration wasn’t involved in this deal, according to a White House official and Huang.
“Intel’s new partnership with Nvidia is a major milestone for American high-tech manufacturing,” White House spokesman Kush Desai said in a statement.