No company has capitalized on the AI revolution more dramatically than Nvidia. Its revenue, profitability, and cash reserves have skyrocketed since the introduction of ChatGPT over two years ago — and the many competitive generative AI services that have launched since. And its stock price soared.
During that period, the world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in all sorts of startups but particularly in AI startups.
The chip giant ramped up its venture capital activity in 2024, participating in 49 funding rounds for AI companies, a sharp increase from 34 in 2023, according to PitchBook data. It’s a dramatic surge in investment compared to the previous four years combined, during which Nvidia funded only 38 AI deals. Note that these investments exclude those made by its formal corporate VC fund, NVentures, which also significantly ramped up its investing in the last two years. (PitchBook says NVentures engaged in 24 deals in 2024, compared to just 2 in 2022.)
In 2025, Nvidia has already participated in seven rounds.
Nvidia has stated that the goal of its corporate investing is to expand the AI ecosystem by backing startups it considers to be “game changers and market makers.”
Below is a list of startups that raised rounds exceeding $100 million where Nvidia is a named participant since 2023, including new ones it has backed so far in 2025, organized from the highest amount to lowest raised in the round.
The billion-dollar-round club
OpenAI: Nvidia backed the ChatGPT maker for the first time in October, reportedly writing a $100 million check toward a colossal $6.6 billion round that valued the company at $157 billion. The chipmaker’s investment was dwarfed by OpenAI’s other backers, notably Thrive, which according to the New York Times invested $1.3 billion.
xAI: Nvidia participated in the $6 billion round of Elon Musk’s xAI. The deal revealed that not all of OpenAI’s investors followed its request to refrain from backing any of its direct competitors. After investing in the ChatGPT maker in October, Nvidia joined xAI’s cap table a few months later.
Inflection: One of Nvidia’s first significant AI investments also had one of the most unusual outcomes. In June 2023, Nvidia was one of several lead investors in Inflection’s $1.3 billion round, a company founded by Mustafa Suleyman, who earlier founded DeepMind. Less than a year later, Microsoft hired Inflection AI’s founders, paying $620 million for a non-exclusive technology license, leaving the company with a significantly diminished workforce and a less defined future.
Wayve: In May, Nvidia participated in a $1.05 billion round for the U.K.-based startup, which is developing a self-learning system for autonomous driving. The company is testing its vehicles in the U.K. and the San Francisco Bay Area.
Scale AI: In May 2024, Nvidia joined Accel and other tech giants Amazon and Meta to invest $1 billion in Scale AI, which provides data-labeling services to companies for training AI models. The round valued the San Francisco-based company at nearly $14 billion.
The many-hundreds-of-millions-of-dollars club
Crusoe: A startup building data centers reportedly to be leased to Oracle, Microsoft, and OpenAI raised $686 million in late November, according to an SEC filing. The investment was led by Founders Fund, and the long list of other investors included Nvidia.
Figure AI: In February 2024, AI robotics startup Figure raised a $675 million Series B from Nvidia, OpenAI Startup Fund, Microsoft, and others. The round valued the company at $2.6 billion.
Mistral AI: Nvidia invested in Mistral for the second time when the French-based large language model developer raised a $640 million Series B at a $6 billion valuation in June.
Lambda: AI cloud provider Lambda, which provides services for model training, raised a $480 million Series D at a reported $2.5 billion valuation in February. The round was co-led by SGW and Andra Capital Lambda, and joined by Nvidia, ARK Invest, and others. A significant part of Lambda’s business involves renting servers powered by Nvidia’s GPUs.
Cohere: In June, Nvidia invested in Cohere’s $500 million round, a large language model provider serving enterprises. The chipmaker first backed the Toronto-based startup in 2023.
Perplexity: Nvidia first invested in Perplexity in November of 2023 and has participated in every subsequent round of the AI search engine startup, including the $500 million round in December, which values the company at $9 billion, according to PitchBook data.
Poolside: In October, the AI coding assistant startup Poolside announced it raised $500 million led by Bain Capital Ventures. Nvidia participated in the round, which valued the AI startup at $3 billion.
CoreWeave: Nvidia invested in the AI cloud computing provider in April 2023, when CoreWeave raised $221 million in funding. Since then, CoreWeave’s valuation has jumped from about $2 billion to $19 billion, and the company has filed for an IPO. CoreWeave allows its customers to rent Nvidia GPUs on an hourly basis.
Together AI: In February, Nvidia participated in the $305 million Series B of this company, which offers cloud-based infrastructure for building AI models. The round valued Together AI at $3.3 billion and was co-led by Prosperity7, a Saudi Arabian venture firm, and General Catalyst. Nvidia backed the company for the first time in 2023.
Sakana AI: In September, Nvidia invested in the Japan-based startup, which trains low-cost generative AI models using small datasets. The startup raised a massive Series A round of about $214 million at a valuation of $1.5 billion.
Imbue: The AI research lab that claims to be developing AI systems that can reason and code raised a $200 million round in September 2023 from investors, including Nvidia, Astera Institute, and former Cruise CEO Kyle Vogt.
Waabi: In June, the autonomous trucking startup raised a $200 million Series B round co-led by existing investors Uber and Khosla Ventures. Other investors included Nvidia, Volvo Group Venture Capital, and Porsche Automobil Holding SE.
Deals of over a $100 million
Ayar Labs: In December, Nvidia invested in the $155 million round of Ayar Labs, a company developing optical interconnects to improve AI compute and power efficiency. This was the third time Nvidia backed the startup.
Kore.ai: The startup developing enterprise-focused AI chatbots raised $150 million in December of 2023. In addition to Nvidia, investors participating in the funding included FTV Capital, Vistara Growth, and Sweetwater Private Equity.
Sandbox AQ: In April, Nvidia, alongside Google, BNP Paribas and others, invested $150 million in Sandbox AQ, a startup developing large quantitative models (LQMs) for handling complex numerical analysis and statistical calculations. The investment increased Sandbox AQ’s Series E round to $450 million and the company’s valuation to $5.75 billion.
Hippocratic AI: This startup, which is developing large language models for healthcare, announced in January that it raised a $141 million Series B at a valuation of $1.64 billion led by Kleiner Perkins. Nvidia participated in the round, along with returning investors Andreessen Horowitz, General Catalyst, and others. The company claims that its AI solutions can handle non-diagnostic patient-facing tasks such as pre-operating procedures, remote patient monitoring, and appointment preparation.
Weka: In May, Nvidia invested in a $140 million round for AI-native data management platform Weka. The round valued the Silicon Valley company at $1.6 billion.
Runway: In June of 2023, Runway, a startup building generative AI tools for multimedia content creators, raised a $141 million Series C extension from investors, including Nvidia, Google, and Salesforce.
Bright Machines: In June 2024, Nvidia participated in a $126 million Series C of Bright Machines, a smart robotics and AI-driven software startup.
Enfabrica: In September 2023, Nvidia invested in networking chips designer Enfabrica’s $125 million Series B. Although the startup raised another $115 million in November, Nvidia didn’t participate in the round.
Editor’s note: A previous version of this story incorrectly stated that Nvidia is a backer of Safe Superintelligence and an investor in Vast Data’s Series E round. Nvidia hasn’t invested in Vast Data since the company’s Series D.
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![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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