Nvidia and Meta Unveil Major GPU Partnership for AI Expansion

Feb 20, 2026, 2:17 AM

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Nvidia (NVDA) and Meta (META) have announced an expanded multiyear, multigenerational partnership aimed at bolstering Meta's artificial intelligence (AI) capabilities. This collaboration will see Nvidia provide millions of its Blackwell and Rubin graphics processing units (GPUs), along with central processing units (CPUs) and networking solutions, to support Meta's data centers in training and deploying AI models.

Meta CEO Mark Zuckerberg expressed enthusiasm for the partnership, highlighting the ambition to "deliver personal superintelligence to everyone in the world," a vision he initially shared in July 2023. Although financial details of the agreement were not disclosed, industry analysts suggest the deal is significant, likely in the tens of billions of dollars.

The partnership marks a notable evolution in Nvidia and Meta's relationship, which has spanned over a decade. This latest deal represents a more expansive technological collaboration, emphasizing the deployment of Nvidia's standalone Grace CPUs in Meta's data centers. This deployment is unique as it involves the first large-scale use of these CPUs independently, without being paired with GPUs.

The integration of Nvidia's technology into Meta's infrastructure is expected to enhance performance per watt significantly, a critical factor for energy efficiency in large-scale AI workloads. Nvidia's CEO Jensen Huang noted the importance of this collaboration, stating that it allows for "deep codesign across CPUs, GPUs, networking, and software" to create a robust platform for Meta's engineers and researchers.

Meta's plans include the future rollout of Vera CPU-only systems, anticipated to launch in 2027, which will further solidify its AI computing capabilities and enhance the overall Arm software ecosystem. The collaboration also involves deploying Nvidia's Spectrum-X Ethernet networking technology, which is designed to optimize network efficiency and throughput across Meta's operations, thus supporting AI-scale networking requirements.

Moreover, the partnership incorporates Nvidia's Confidential Computing technology, enabling AI functionalities while maintaining user privacy within applications such as WhatsApp. This move indicates a commitment to integrating advanced AI capabilities while ensuring data confidentiality and integrity, a growing concern in today's digital landscape.

As the tech industry grapples with questions regarding the necessity and efficiency of high-powered GPUs versus specialized chips, this partnership could redefine the competitive landscape. Companies like Amazon, Google, and Microsoft are also investing in their own AI chips, raising questions about Nvidia's long-term dominance in the space. However, the scale of Meta's AI deployment may serve as a strong endorsement of Nvidia's comprehensive CPU and GPU strategy.

The partnership has already influenced stock movements, with Nvidia's shares rising over 1% following the announcement, while Meta's stock experienced a slight decline. In contrast, Advanced Micro Devices (AMD) saw its shares fall by approximately 4% in reaction to the news, underscoring the competitive dynamics at play in the semiconductor market.

In summary, the expanded partnership between Nvidia and Meta is set to significantly enhance Meta's AI infrastructure, aligning with its goal of providing advanced AI capabilities at scale. As these tech giants collaborate to push the boundaries of AI technology, the implications for the broader industry and competitive landscape will be closely watched in the coming years.

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