Google Corporation is on the verge of a market capitalization of $4 trillion following reports of promising negotiations with Meta regarding the purchase of specialized TPU (Tensor Processing Unit) chips for artificial intelligence. The deal could potentially shift the balance of power in the AI infrastructure market, which has so far been dominated by Nvidia’s graphics processors.
This is reported by Business • Media
Meta Seeks an Alternative to Nvidia for Its Data Centers
According to analysts, Meta is negotiating a multi-billion dollar purchase of TPU chips, planning to implement them in its own data centers. There is also the possibility of renting processors through Google Cloud starting in 2026. The main goal of this strategy is to reduce dependence on Nvidia’s products, which currently set the industry standard for training and operating large language models.
Previously, Google had already signed a contract to supply up to 1 million chips for the company Anthropic, strengthening its market position and attracting additional attention from major clients. This also demonstrated Alphabet’s readiness to compete in the field of AI technologies.
The Market Reacts: Alphabet’s Stock Rises While Nvidia’s Declines
In light of the news about a potential deal, Alphabet’s (Google’s parent company) market capitalization has significantly increased, approaching the $4 trillion mark for the first time. Over the past day, the company’s stock price rose by 1.6%. Meanwhile, Nvidia’s shares fell by about 4% in pre-market trading as investors assess the risks of declining GPU demand and increased competition from other AI accelerator manufacturers.
Nvidia representatives commented on the situation, noting that they welcome Google’s success in developing TPU but emphasize the advantages of their own solutions in the field of artificial intelligence.
We are excited about Google’s success – they have made significant strides in AI, and we continue to supply Google. NVIDIA is a generation ahead of the industry – it is the only platform that runs every AI model and executes it wherever computations are performed. NVIDIA offers greater..
Experts predict that a potential agreement between Meta and Google could strengthen Google’s position as a key supplier of alternative AI accelerators. According to Bloomberg Intelligence estimates, Meta’s capital expenditures in 2026 could exceed $100 billion, with $40-50 billion specifically allocated for the development of infrastructure for artificial intelligence.
The final decision depends on whether TPU can demonstrate sufficient efficiency and scalability for Meta’s hypercenter needs. TPU are specialized integrated circuits that Google has been developing for over a decade and are becoming increasingly popular among companies seeking alternatives to standard GPUs due to the risks of over-reliance on a single supplier.
Currently, TPU are used for both Google’s internal products, including the operation of the Gemini model, and are available to third-party developers through Google Cloud. The company emphasizes that it does not intend to abandon support for both its own chips and Nvidia’s graphics processors.
Recall that Google previously stated the need for a thousandfold increase in AI capabilities by 2030.