Jing Ji Guan Cha Wang·2026-02-19 05:12Core Insights - Meta and Nvidia have established a long-term strategic partnership focusing on large-scale deployment of chips and comprehensive optimization from hardware to software in the competitive AI landscape [1][2] - The collaboration has led to a rise in stock prices for both Meta and Nvidia, while AMD's stock fell over 4% [1][3] - Meta plans to deploy millions of Nvidia chips, including Blackwell and next-generation Rubin architecture GPUs, marking the first large-scale independent deployment of Nvidia's Grace CPU [1][3] - Meta aims to introduce the more powerful Vera series processors by 2027 to strengthen its position in high-efficiency AI computing [1][2] Company-Specific Developments - Nvidia is providing a unified solution covering training, inference, and data processing by integrating CPU, GPU, networking technologies, and software ecosystems for Meta [2] - Meta's large-scale procurement of Nvidia chips is seen as a long-term commitment to external computing power, ensuring competitiveness against Google and Microsoft [2][3] - Meta plans to integrate Nvidia's security technology into WhatsApp's AI features, enhancing performance while meeting stringent data security and privacy requirements [2] Industry Implications - Analysts estimate the scale of the partnership could reach hundreds of billions, with Meta's capital expenditure for AI infrastructure projected to be as high as $135 billion by 2026 [3] - The collaboration validates Nvidia's "full-stack" infrastructure strategy, as Meta's shift towards Nvidia's solutions comes amid challenges in its own AI chip development [3][4] - The partnership signals a significant shift in the competitive landscape, particularly for traditional chip giants like Intel and AMD, as Meta's move towards Arm architecture CPUs indicates a structural change in the data center market [4]