Nvidia's decision to inject an additional $2.000 billion into CoreWeave once again puts the spotlight on the global battle for control of artificial intelligence infrastructure. The move solidifies the relationship between the leading chip manufacturer and one of the most relevant neoclouds on the market , at a time when the demand for computing power is skyrocketing worldwide.
With this transaction, Nvidia not only strengthens its stake in CoreWeave, but also secures preferential access to data centers custom-designed for its AI accelerators. This is another step in a cross-investment strategy, such as its investment in Synopsys , which is already reshaping the landscape of high-performance computing on a global scale.
Details of the investment and changes in shareholding
The new capital injection was formalized through the purchase of CoreWeave Class A common shares at a price of $87,20 per share. This valuation has been reiterated in various press releases and notes issued by both companies and serves as a benchmark for the market regarding the growth potential of the cloud infrastructure firm.
Prior to this transaction, Nvidia held a stake of just over 6% in CoreWeave , equivalent to approximately 24 million shares, already placing it among the company's main financial partners. With the purchase of around 23 million more shares, its stake approaches 12%, making it the second-largest shareholder , behind the Magnetar Financial fund.
This move has had an immediate impact on the markets: CoreWeave shares have surged by more than 10%-15% in the first hours of trading on the Nasdaq after the agreement was announced, briefly exceeding $100 per share and raising its market capitalization to over $47.000-53.000 billion, according to various agencies.
For Nvidia, which is already the world's most valuable publicly traded company by market capitalization, the expenditure is part of a broader strategy of direct support to key customers of its graphics processors and accelerated computing platforms, with the aim of ensuring that there is sufficient capacity of data centers built to the specifications of its chips.
Goal: More than 5 gigawatts of AI power by 2030
The central pillar of the agreement is the commitment to deploy more than 5 gigawatts of AI data center capacity by 2030. These facilities, often described as “AI factories” , will be designed and managed by CoreWeave, but will rely almost entirely on Nvidia technology.
The new funding will allow CoreWeave to accelerate land acquisition, secure large-scale power supply contracts, and build the necessary infrastructure to house massive GPU clusters and specialized systems. These are capital-intensive investments where access to financing and financially sound partners is crucial.
In practice, these 5 gigawatts will be used to support increasingly complex training and inference workloads for generative AI models , ranging from large linguistic models to computer vision systems and industrial digital twins. Technology companies, cloud service platforms, and organizations of all types will be able to lease this capacity through CoreWeave's services.
The current agreement is not starting from scratch: in September, Nvidia had already announced an order for approximately $6.300 billion in cloud computing capacity from CoreWeave through 2032. This new capital injection strengthens that business relationship, similar to other major cloud deals such as OpenAI's with AWS , making CoreWeave one of the most important strategic partners in the Nvidia ecosystem.
The data center company specializes in building infrastructures specifically designed to host Nvidia accelerators , setting it apart from generalist cloud providers. This approach has allowed it to position itself as a highly sought-after neocloud for next-generation AI services, including European clients looking for alternatives to traditional hyperscalers.
Nvidia technologies coming to CoreWeave
The alliance is not only financial; it also includes a significant technological component. CoreWeave will be among the first companies to deploy the new generations of Nvidia products , including GPUs, CPUs, and storage systems for data centers.
Among the architectures that it will be able to adopt in advance are the Rubin platform , designed for massive AI workloads; the Vera CPUs , the first processors of this type that Nvidia offers as a standalone chip for servers; and the Bluefield storage and networking systems , aimed at optimizing data traffic and security in high-performance environments.
This priority given to access to new technologies makes CoreWeave a key testing ground for Nvidia's innovations , allowing many customers to experiment with the latest architectures without having to build their own infrastructure from scratch. In return, Nvidia secures a highly visible showcase for its accelerated computing platforms.
In statements included in official press releases, Jensen Huang , founder and CEO of Nvidia, insisted that AI is driving the largest deployment of technological infrastructure in history , and that partners like CoreWeave provide the speed of execution and specialization needed to keep pace with that demand.
For his part, Michael Intrator, co-founder and CEO of CoreWeave, emphasizes that the success of AI depends on integrating software, infrastructure, and operations as a whole , and that the expansion of the collaboration with Nvidia responds to market signals: AI systems moving from the experimental phase to large-scale production, including projects that will directly affect European companies and administrations.
Nvidia's impact on the market and investment context
Nvidia's endorsement has acted as a catalyst on the stock market. Following the announcement, CoreWeave has seen double-digit gains on the Nasdaq, with increases of around 10%-15% in the first hours of trading and a significant rise in its market capitalization since the beginning of the year.
Meanwhile, Nvidia's shares have shown more moderate behavior, with slight intraday declines that do not alter its position as the absolute giant of the semiconductor industry . Its market capitalization exceeds $4,5 trillion, allowing it to pursue a large-scale corporate investment strategy across the entire AI value chain.
The additional investment in CoreWeave adds to a flurry of multi-billion dollar deals in recent months: investment commitments of up to $100.000 billion linked to the deployment of infrastructure for OpenAI, equity and collaboration agreements with chipmakers and telecom companies, and stakes in software and semiconductor design companies that complete its ecosystem.
In parallel, Nvidia has intensified its investment in AI startups focused on inference and content generation , participating in funding rounds for companies like Anthropic, Baseten, and Synthesia. All these operations, while nuanced, share a common goal: ensuring a sufficient number of projects and platforms that leverage its chips and systems.
In this context, the role of specialized providers like CoreWeave is especially relevant for European and Spanish customers who need access to large GPU clusters to train models, but who may prefer a neocloud focused exclusively on AI rather than large general-purpose hyperscalers.
Relevance for Europe and opportunities in AI infrastructures
Although the agreement was announced in the United States, its effects will also be felt in the European market. The race for technological and data sovereignty in the European Union hinges on guaranteeing access to top-tier computing power for universities, research centers, large corporations, and technology SMEs.
CoreWeave, as a provider of specialized infrastructure, is positioned to offer computing capacity that meets European regulatory requirements , such as data protection and the future development of industry-specific data spaces. The collaboration with Nvidia could facilitate the opening or expansion of data centers in key regions, which is especially relevant for sectors such as healthcare, finance, and the automotive industry.
For Spain, where supercomputing projects and AI hubs backed by European funds are being promoted , the existence of a global network of AI factories based on Nvidia technology opens the door to new public-private partnerships. Local companies could leverage these data centers to train their own models without undertaking massive investments in their own infrastructure.
At the same time, the consolidation of large global providers raises questions about technological dependence and the concentration of market power . European regulators are closely monitoring how these alliances are structured and what implications they may have for competition and equitable access to computing power.
In any case, the strengthening of the relationship between Nvidia and CoreWeave is part of a clear trend: AI needs massive, hyper-specialized and distributed infrastructures , and the big players in the sector are making moves to occupy dominant positions before the market matures.
The agreement by which Nvidia invests $2.000 billion in CoreWeave at $87,20 per share, virtually doubling its stake to nearly 12% and committing to power more than 5 gigawatts of AI data centers by 2030, has become one of the clearest signs of how major chip providers and neoclouds are forging alliances to control the infrastructure that will support the next wave of artificial intelligence on a global scale, with direct implications for the economic and technological fabric of Europe.