Jakarta, IDN Times – Nvidia asserted its technology remains a step ahead of all other industry players. This statement, issued on Tuesday, November 26, 2025, came as a direct response to Wall Street concerns that the company’s commanding presence in artificial intelligence (AI) infrastructure was being eroded by Google’s proprietary AI chips.
An official post from the company on X (formerly Twitter) simultaneously highlighted its strong relationship with Google and underscored its internal technological prowess.
“We are pleased with Google’s success — they have made great strides in AI and we continue to supply to Google,” Nvidia stated, as quoted by CNBC, reinforcing its position as a key supplier.
The chip giant further elaborated that it is a generation ahead of the industry, positioning itself as the sole platform capable of supporting every AI model across diverse computing environments. This broad compatibility, Nvidia claims, sets it apart from more specialized competitors.
In the same explanation, Nvidia emphasized that its Blackwell generation offers unparalleled flexibility and power that dedicated chips, such as Application-Specific Integrated Circuits (ASICs) used in Google’s Tensor Processing Units (TPUs), simply cannot match. ASICs are inherently designed for internal use or specific, limited functions, making them less adaptable.
“NVIDIA offers greater performance, flexibility, and interchangeability than ASICs,” Nvidia declared in its post, advocating for the superior versatility of its offerings.
1. Meta’s Google Partnership Jolts Nvidia Shares 
Nvidia’s shares experienced a 3 percent dip on Tuesday, November 26, 2025. This correction followed reports that Meta was in discussions to utilize Google-made TPUs starting in 2027 and to lease chips from Google Cloud as early as next year. This potential shift in demand signaled a significant challenge to Nvidia’s market position.
Meta is reportedly poised to allocate up to $72 billion (equivalent to IDR 1,198 trillion) for chip procurement this year. Investors perceived this potential agreement as a direct threat to Nvidia’s lucrative business, consequently triggering downward pressure on the company’s stock valuation. According to CNA, Meta Platforms is indeed orchestrating a move to shift a portion of its computational workload to Google’s chips, with implementation slated for 2027. Additionally, Meta plans to lease TPUs through Google Cloud starting next year, a strategic decision that aligns with Google’s broader initiative to expand TPU adoption within customer data centers globally.
2. Google Bolsters TPUs as a Key AI Option in Data Centers 
As reported by the Times of India, Google does not offer its TPU chips for direct sale. Instead, the company primarily uses them for internal operations and makes them accessible exclusively through Google Cloud. Google recently unveiled Gemini 3, its latest AI model, which has received strong reception and was notably trained entirely using TPUs, rather than Nvidia’s dominant GPUs, showcasing the power of its in-house solution.
“We are seeing accelerating demand for both our custom TPUs and Nvidia GPUs,” a Google spokesperson commented, acknowledging the diverse needs of the market. Google’s TPUs are specifically engineered for particular AI workloads, providing superior power and cost efficiency for specialized applications. In contrast, Nvidia’s GPUs function as versatile accelerators, supporting a wide array of machine learning frameworks and fulfilling the diverse computing needs of enterprises. Despite rising competition, Nvidia continues to command over 90 percent of the AI chip market share with its extensive line of GPUs, maintaining its formidable lead.
3. Nvidia Leverages Extensive Ecosystem to Counter Competition 
Nvidia CEO Jensen Huang addressed these competitive dynamics during an earnings call earlier this month, emphasizing that Google remains a valued customer for their GPUs and that even Gemini can run effectively on Nvidia’s technology. Huang also maintains close communication with Demis Hassabis of Google DeepMind, who affirms the continued relevance of “scaling laws”—the theory that increasing the number of chips and data leads to more powerful AI models.
Nvidia firmly believes this fundamental principle will persistently drive long-term demand for its cutting-edge chips and systems. While competition intensifies with Google’s significant advancements and Meta’s exploration of alternative solutions, Nvidia’s sheer operational scale and its mature, widely adopted software ecosystem provide a robust foundation. This extensive ecosystem continues to afford the company a dominant and influential position in the current market, underscoring its resilience against emerging challenges.
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Summary
Nvidia’s stock experienced a 3% dip on November 26, 2025, following reports that Meta Platforms is considering utilizing Google’s proprietary TPUs by 2027 and leasing them via Google Cloud starting next year. This potential shift by a major client like Meta, which plans to allocate substantial funds for chip procurement, was perceived by investors as a significant threat to Nvidia’s leading position in the AI chip market. Google’s TPUs, primarily available through its cloud services, were notably used to train its new Gemini 3 AI model.
Despite these competitive pressures, Nvidia maintains its technology is a generation ahead, offering unparalleled performance, flexibility, and compatibility across diverse AI models, unlike specialized ASICs. The company reaffirmed its strong relationship with Google as a supplier and emphasized its extensive software ecosystem and operational scale as key differentiators. Nvidia’s CEO also highlighted the continued relevance of “scaling laws” to drive long-term demand for its chips, underscoring its resilience and dominant market share in AI accelerators.