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Cohere co-founder Nick Frosst is surrounded by chatter of artificial general intelligence, or AGI. He’s perfectly happy to stay out of the conversation.

Founded in 2019, by ex-Google AI researchers, Cohere is valued in the billions of dollars and is one of the more high-profile names in the world of generative AI, which has exploded since OpenAI debuted ChatGPT in late 2022.

But it’s not a company that’s well known among consumers, who have swarmed to chatbots and other tools from OpenAI, Google and Perplexity. Rather, Cohere is all about business.

“I’m in meetings with companies in health care, banking and IT all the time,” Frosst told CNBC in an interview this week. “The questions I get are about securely automating tasks like HR, payrolls, research and fraud detection to drive productivity. No one has ever asked me about achieving AGI, let alone ASI.”

The latter is short for artificial superintelligence, or AI that significantly surpasses human intelligence. OpenAI and Anthropic have both made it their goal to achieve it.

In its latest funding round in July, Cohere raised $500 million at a $5.5 billion valuation, more than doubling its valuation from the prior year. Investors in the company include Nvidia, AMD, Salesforce and Oracle.

While that would historically be a huge price tag for a company that’s not even five years old, it’s a fraction of what investors are paying for OpenAI, valued at $157 billion in a round announced in October, and Anthropic, which CNBC confirmed this week is in talks to raise funding at a $60 billion valuation.

Some of Cohere’s chief competitors in the AI arms race offer products for both consumers and businesses. OpenAI, for instance, launched ChatGPT Enterprise in 2023, and Anthropic rolled out Claude Enterprise in September.

Frosst said Cohere’s preference for the enterprise is centered around the idea that large language models are best at automating tedious tasks and “being a co-worker.”

“Really, it’s an automation tool,” Frosst said. “When I think about my personal life, there’s actually not a ton that I want to automate. I don’t want to write text messages to my friends faster. I don’t want to respond to emails more efficiently in my own life. But in my work life, I really, really do want to do that.”

Frosst said, “I want to be free to think creatively and not be bogged down.”

We should embrace rather than fear AI: Cohere CEO

Shortly after closing its funding round in July, Cohere cut about 20 jobs. A company representative said at the time it was an “internal realignment” and that Cohere had a “clear vision for the future.”

That vision includes going all-in on AI agents.

While the term AI agents isn’t neatly defined, it’s generally meant to describe AI services that go a step beyond chatbots. Agents are typically designed for specific business functions, rather than general purpose, and can be customized on the big AI models.

They can perform multistep, complex tasks on a user’s behalf and generate their own to-do lists, so that users don’t have to walk them through the process step-by-step.

Staying capital efficient

On Thursday, Cohere debuted its early access program for its AI agent platform called North, which is focused on allowing users with any level of technical background to “instantly customize and deploy AI agents” and do so “with just a few clicks,” the company said in a press release. Users can search for information across their organizations in multiple languages and in divisions with programs that weren’t previously connected.

That includes summarizing questions and answers in HR, speeding up the amount of time spent on finance reports and automating some core business functions in customer support and IT.

Frosst said that the platform can be used in any industry, but the company plans to target finance and health care, where data privacy and regulation are paramount.

Martin Kon, Cohere’s operating chief, told CNBC in March that by staying focused on enterprise AI, the company is able to run efficiently and keep expen under control even amid a chip shortage, rising costs for Nvidia’s graphics processing units (GPUs) and ever-changing licensing fees for AI models. 

Frosst says those dynamics are still at play, allowing Cohere to be “more capital-efficient,” which is increasingly “of interest to investors.” Rivals with popular consumer-facing AI products, he said, use a lot of compute on “consumer applications and science projects.”

Although the sales cycle for enterprise AI can be longer, Frosst said, “the recurring business we’ve been able to create is something that’s really resonating with investors now.”

Competition is stiff and the technology is quickly evolving.

In October, Anthropic said its AI agents had the ability to use a computer like a human would in order to complete complex tasks. The feature, called Computer Use, allows its technology to interpret what’s on a computer screen, select buttons, enter text, navigate websites and execute tasks through any software and real-time internet browsing.

OpenAI reportedly plans to introduce a similar feature soon. And last year, executives from Microsoft, Meta and Google regularly touted their goals to push AI assistants to become increasingly productive.

Even without a consumer business, Cohere has to spend heavily on Nvidia’s costly GPUs, which are in huge demand for companies that are training models and running big workloads. In Cohere’s early days, the company secured a reserve of Google chips to help it pretrain its models. Over the past year, Cohere has moved more toward Nvidia’s H100 GPUs.

“We’ve increased our spend on them, because they’re working really well,” Frosst said.

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Nvidia just spent over $900 million to hire Enfabrica CEO, license AI startup’s technology

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Nvidia just spent over 0 million to hire Enfabrica CEO, license AI startup's technology

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.

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CrowdStrike pops nearly 13% on upbeat long-term guidance at investor day

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CrowdStrike pops nearly 13% on upbeat long-term guidance at investor day

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.

Earlier this week, the firm said it was buying AI security platform Pangea and announced a partnership with Salesforce.

“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.

This year’s biggest tech deals have included Google’s $32 billion acquisition of Israeli cybersecurity startup Wiz and Palo Alto Networks’ $25 billion CyberArk deal.

Cybersecurity firm Netskope hit the public market Thursday, while Thoma Bravo-backed SailPoint debuted earlier this year.

During its recent earnings report, CrowdStrike’s revenue guidance for the third quarter fell short of analysts’ expectations.

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Nvidia CEO Huang says $5 billion stake in rival Intel will be ‘an incredible investment’

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Nvidia CEO Huang says  billion stake in rival Intel will be 'an incredible investment'

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.

— CNBC’s Megan Cassella contributed to this story

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