U.S. stocks closed higher as renewed enthusiasm around artificial intelligence powered a rally in megacap technology shares. Leading the advance was Nvidia (NVDA), which gained roughly 1.8% to 2.6% after securing a sweeping multi-year agreement to supply “millions” of chips to Meta Platforms (META). NVIDIA Corporation (NVDA) closed at $187.98, up $3.01 (+1.63%) at 4:00:01 PM EST, and edged higher to $188.18 (+0.11%) in overnight trading as of 11:36:15 PM EST. Meanwhile, Meta Platforms, Inc. (META) closed at $643.22, rising $3.93 (+0.61%) at 4:00:02 PM EST in the latest trading session.
The deal, one of the largest AI infrastructure commitments to date, strengthens Nvidia’s position not only as the dominant AI GPU supplier but increasingly as a full-stack data center platform provider. Investors viewed the agreement as validation that hyperscale AI spending remains resilient despite macroeconomic uncertainties.
NVIDIA Expands Beyond GPUs
Under the agreement, Nvidia will provide its current-generation Blackwell GPUs, which remain on back order due to surging demand, along with its next-generation Rubin architecture. The Rubin platform marks one of the first major forward supply commitments for Nvidia’s upcoming AI chips, reinforcing confidence in sustained multi-year growth.
However, the strategic shift extends well beyond GPUs. A key development is Meta’s planned large-scale deployment of Nvidia’s Grace and Vera CPUs for AI and natural language processing workloads. This “Grace-only” deployment represents Nvidia’s most significant push yet into the CPU market, traditionally dominated by Intel and Advanced Micro Devices (AMD).
The Grace CPU is built on Arm architecture technology, signaling Nvidia’s evolution into a serious challenger in general-purpose data center computing. By integrating CPUs, GPUs, networking, and AI software into a cohesive stack, Nvidia is positioning itself as more than a chip vendor; it is becoming an end-to-end infrastructure provider.
Meta’s Massive AI Buildout
For Meta, the chip supply deal supports its aggressive expansion of AI infrastructure. The company is building its 5-gigawatt “Hyperion” data center in Louisiana and the 1-gigawatt “Prometheus” facility in Ohio, with capital expenditures projected to reach as much as around $135 billion in 2026.
Commenting on the deal, Jensen Huang, founder and CEO of NVIDIA, stated, “Through deep codesign 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.”
CEO Mark Zuckerberg has outlined a vision of delivering “personal superintelligence” to users globally, a goal that requires unprecedented computing capacity. Locking in a multi-year chip supply reduces execution risk and positions Meta competitively against other AI-focused tech giants.
Markets Close Higher
The broader market reflected renewed risk appetite. The S&P 500 rose 0.56% to close at 6,881.31, while the tech-heavy Nasdaq Composite gained 0.78% to 22,753.63, led by semiconductor and megacap growth stocks. The Dow Jones Industrial Average added 0.26% to 49,662.66, trailing the Nasdaq but still finishing in positive territory.
Outside technology, the energy sector climbed about 2% as Brent crude prices extended gains and remained more than 15% higher year to date. Rising oil prices have contributed to inflation concerns, though equity markets largely shrugged off those pressures.
Minutes from the Federal Reserve’s January meeting show that policymakers may consider rate cuts later this year if inflation continues to cool. While the Fed maintained a cautious tone, markets interpreted the commentary as broadly supportive of growth stocks.
Competitive Implications
For Intel and AMD, Nvidia’s standalone CPU expansion adds competitive pressure. If Grace-based systems gain traction among hyperscalers, Nvidia could carve out a meaningful share in data center CPUs, reshaping competitive dynamics in one of the semiconductor industry’s most profitable segments.
The market rally underscored a broader market theme: AI infrastructure spending remains a primary growth engine. More importantly, Nvidia’s latest deal signals a structural shift, from GPU leader to full-stack data center architect, a transition that may define the next phase of the AI race.
