Meta-NVIDIA Deal: Millions of GPUs Now

Meta Builds AI Infrastructure with NVIDIA: Millions of Blackwell and Rubin GPUs Power the Future

Meta is revolutionizing its AI capabilities through a massive, multiyear partnership with NVIDIA, deploying millions of advanced Blackwell and Rubin GPUs alongside cutting-edge CPUs and networking solutions. This strategic alliance positions Meta at the forefront of AI innovation, fueling everything from massive model training to personalized superintelligence for billions of users.

The Groundbreaking NVIDIA Partnership Unveiled

Meta and NVIDIA announced a long-term infrastructure collaboration on February 17, 2026, spanning on-premises, cloud, and AI systems. This multigenerational deal supports Meta's ambitious roadmap by enabling hyperscale data centers optimized for both AI training and inference. Key components include large-scale deployments of NVIDIA CPUs, millions of Blackwell GPUs, and next-generation Rubin GPUs, all integrated with advanced networking for peak efficiency.

Engineering teams from both companies are deeply co-designing across CPUs, GPUs, networking, and software. This holistic approach delivers substantial performance-per-watt improvements, essential for powering Meta's vast personalization and recommendation systems that serve billions daily.

NVIDIA Grace and Vera CPUs: A New Era of Efficiency

Meta is pioneering the first large-scale deployment of standalone NVIDIA Grace CPUs in production data centers. These Arm-based processors offer significant energy efficiency gains, aligning with Meta's long-term strategy to optimize infrastructure.

• Grace CPUs power CPU-only servers, marking a shift from traditional Intel and AMD general-purpose chips.
• Future plans include NVIDIA Vera CPUs, with potential large-scale rollout in 2027, further expanding Meta's efficient AI compute footprint.
• Co-design and software optimizations enhance performance with each generation, supporting Meta's industrial-scale AI operations.

Networking and Security Innovations at Scale

NVIDIA Spectrum-X Ethernet is rolling out across Meta's entire infrastructure footprint. This platform ensures predictable, low-latency performance while maximizing utilization and power efficiency for AI-scale workloads.

Additionally, Meta has adopted NVIDIA Confidential Computing for WhatsApp. This technology enables AI-powered features in private messaging while safeguarding user data confidentiality and integrity.

Leadership Insights from Jensen Huang and Mark Zuckerberg

Jensen Huang, NVIDIA's founder and CEO, emphasized Meta's unparalleled AI scale: "No one deploys AI at Meta’s scale, integrating frontier research with industrial-scale infrastructure." He highlighted the full NVIDIA platform's role in building the next AI frontier.

Mark Zuckerberg, Meta's founder and CEO, shared excitement about the partnership: "We’re thrilled to expand with NVIDIA to build leading-edge clusters using their Vera Rubin platform, delivering personal superintelligence to everyone."

Strategic Diversification and Massive Investments

This NVIDIA deal complements Meta's broader compute strategy, including a multi-year agreement with AMD for up to 6 gigawatts of Instinct GPUs starting in late 2026. By diversifying suppliers, Meta reduces risks like supply shortages and negotiates better pricing.

Meta's 2026 capital expenditures are projected at $115 to $135 billion, a 75% increase from 2025, primarily fueling AI infrastructure via Superintelligence Labs. This portfolio approach combines partner hardware with Meta's own Meta Training and Inference Accelerator silicon.

Implications for AI's Future

Meta's NVIDIA partnership accelerates the global AI buildout, challenging competitors and igniting potential CPU supercycles. It underscores a systems-level push for efficiency, setting new benchmarks in performance, energy use, and scalability.

In summary, this collaboration equips Meta to lead in personal superintelligence, blending cutting-edge hardware with innovative software to transform AI for everyday users worldwide.