The collaboration will help support Meta’s development of data centers designed for AI training and inference, as well as its core business, according to a Tuesday (Feb. 17) press release.
“No one deploys AI at Meta’s scale, integrating frontier research with industrial-scale infrastructure to power the world’s largest personalization and recommendation systems for billions of users,” Nvidia founder and CEO Jensen Huang said in the release. “Through deep co-design across CPUs, GPUs, networking and software, we are bringing the full Nvidia platform to Meta’s researchers and engineers as they build the foundation for the next AI frontier.”
Meta also adopted Nvidia’s tech for use in its WhatsApp private messaging service and for its larger infrastructure efforts, the release said.
The partnership will see engineers from both companies team to “optimize and accelerate state-of-the-art AI models” to improve new AI capabilities used worldwide, according to the release.
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“We’re excited to expand our partnership with Nvidia to build leading-edge clusters using their Vera Rubin platform to deliver personal superintelligence to everyone in the world,” Meta CEO Mark Zuckerberg said in the release.
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PYMNTS CEO Karen Webster wrote about Meta’s AI capabilities this month for a report on some of the challenges facing the world’s tech giants.
The company’s AI assets are impressive, the report said. Meta’s Llama is an open foundation model family, with recommendation systems that analysts say perform at an unrivaled scale, along with sophisticated ad-ranking and creative tools.
“But nearly all of this capability is aimed at one objective: maximizing the efficiency and yield of advertising,” the report said. “And the result is hard to dispute. AI-powered ad products reached roughly a $60 billion annualized run rate in 2025, with measurable lifts in click-through, conversion and pricing.”
The company’s smart glasses demonstrate the same pattern. Once touted as a move toward augmented reality, they are now seen mostly as an AI interface that keeps users within Meta’s ecosystem. The revenue model ultimately points back to monetizing views through ads, engagement and new ad formats instead of an independent platform business designed to sustain commerce.
“For Meta, AI and agents do not threaten the core,” the report said. “They only strengthen it. Who knows, maybe we will see another name change soon: MetAI.”
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