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More Reading from MarketBeat.com NVIDIA and Meta Deepen Their AI Alliance—and the Spending Numbers Are EnormousAuthor: Jeffrey Neal Johnson. Publication Date: 2/19/2026. 
Key Points - The expanded agreement ensures that Meta will utilize the upcoming Rubin architecture and Vera processors to build its future data centers.
- New confidential computing technology allows WhatsApp to run advanced artificial intelligence features while maintaining strict user privacy encryption.
- This multigenerational partnership secures a long and reliable revenue stream for NVIDIA as it cements its position as the engine of the global economy.
- Special Report: [Sponsorship-Ad-6-Format3]
The artificial intelligence (AI) trade has evolved from a speculative gold rush into a heavily industrialized arms race. On Feb. 17, 2026, two of the market's most dominant forces, NVIDIA (NASDAQ: NVDA) and Meta Platforms (NASDAQ: META), announced an expansion of their partnership. This multigenerational agreement moves beyond hardware purchases to establish a deep codesign collaboration intended to secure computing infrastructure for the next decade. Investors immediately recognized the financial gravity of the deal: NVIDIA shares rose about 2.3% to near $189, while Meta shares gained roughly 0.6% to around $641 after the announcement. Silver: 20% + 68%
Tim Plaehn just found a Silver ETF that delivers monthly income (up to 20% in annual distributions) plus share appreciation (68% in 5 months). The precious metal has become one of the best investments for growth AND income right now. Click here and start to collect in the next 30 days. The market reaction suggests Wall Street views this alliance as a necessary step for Meta to dominate the consumer AI space and as a critical confirmation of NVIDIA's long-term revenue durability. The Vera-Rubin Roadmap: Ditching Legacy Tech The most significant part of this deal is not just what Meta is buying today, but what it has committed to buy tomorrow. Meta confirmed it will deploy millions of NVIDIA Blackwell graphics processing units (GPUs) immediately to handle current workloads. More importantly, it signed a formal agreement to adopt NVIDIA's upcoming Rubin GPU architecture and the Vera central processing unit (CPU). That specific commitment to the Vera CPU represents a major strategic pivot in how data centers are built. Historically, AI servers paired NVIDIA GPUs with CPUs from competitors such as Intel or AMD. This deal signals Meta's move toward a more vertically integrated stack. By adopting NVIDIA's Arm-based CPUs—both the current Grace models and future Vera models—Meta is streamlining its infrastructure. For NVIDIA, this is a substantial competitive win: it widens the company's moat by ensuring NVIDIA controls the entire server rack, not just the GPU. For Meta, the tighter integration promises higher speed and better efficiency. The agreement also includes NVIDIA's Spectrum-X Ethernet networking, designed to reduce latency—the lag between data requests and responses. In AI training, milliseconds of delay can cost millions in lost efficiency, so this networking upgrade is a critical element of the deal. Personal Superintelligence: The Revenue Vision Understanding the hardware is only half the story; investors also need to understand the strategy behind it. CEO Mark Zuckerberg has been explicit about the goal: Personal Superintelligence. Meta aims to deliver a highly personalized AI agent to each of its billions of users across Facebook, Instagram and WhatsApp. This would be more than a chatbot—it would be a proactive digital assistant that understands your schedule, preferences and relationships. That vision faces a major obstacle: privacy. WhatsApp, in particular, is defined by end-to-end encryption. Users may want advanced AI features, but they are unlikely to embrace systems that require Meta to read their private messages. If users don't trust the AI, they won't use it—and Meta can't monetize it. The expanded partnership introduces a solution: Confidential Computing. This technology enables NVIDIA's chips to process data while it remains encrypted, effectively allowing WhatsApp to run powerful AI tasks on messages without the system ever decrypting or "seeing" the content. By addressing the privacy paradox, Meta hopes to roll out AI agents to roughly 2 billion WhatsApp users faster than competitors can, creating a massive new engagement and revenue stream without provoking regulatory or consumer backlash. Sticker Shock: Inside the $135 Billion Bill Building this future is extraordinarily expensive, and Meta's price tag has drawn attention on Wall Street. For 2026, the company guided CapEx of $115 billion to $135 billion. By comparison, total CapEx for the broader Big Tech cohort—Microsoft, Alphabet and Amazon—is estimated to reach nearly $650 billion in 2026. That scale of spending divides investors. The bear case contends that a >$100 billion outlay in a single year will erode profit margins and leave Meta exposed if the AI boom cools, potentially stranding depreciating hardware. The bull case counters that the spending is defensive: by building massive compute clusters now, Meta avoids becoming a long-term renter on cloud platforms such as Microsoft Azure or Amazon Web Services. If it doesn't invest, it risks losing control of the consumer relationship to the cloud providers it would otherwise pay for capacity. For NVIDIA shareholders, Meta's capital spending is essentially revenue. The deal is a material catalyst ahead of NVIDIA's fiscal Q4 earnings report on Feb. 25, 2026, for which analysts forecast about $65.5 billion in revenue. The partnership supports the view that demand for chips is accelerating as the world's biggest companies race to secure supply for future generations of AI hardware. Metrics and Multiples: Buying the Future Despite the massive sums involved, analysts remain largely bullish on both stocks—for different reasons. The consensus view is the AI market is shifting from a training phase to a deployment phase, which may require even more hardware than previously anticipated. NVIDIA trades at a price-to-earnings ratio of roughly 47. While that is high for a traditional industrial company, NVIDIA's growth rate makes the multiple reasonable to many growth investors. With an average analyst price target near $264, the implied upside is over 40% from current levels, suggesting the market expects deals like Meta's to continue supporting NVIDIA's expansion. Meta, by contrast, trades at a P/E of about 27.2—valuing it closer to a utility than a high-flying growth stock. That discount reflects anxiety over the $135 billion spending plan. Still, with price targets averaging between $835 and $850, analysts see meaningful upside if Zuckerberg's bet on Personal Superintelligence pays off. A Partnership for the Next Decade The expanded alliance between NVIDIA and Meta signals the AI arms race has no finish line in sight. By locking in supply for chips that won't arrive until 2027, Meta is signaling it thinks AI is not merely a feature but the core utility of the future internet. For investors, the takeaway is straightforward. NVIDIA has entrenched itself as a critical engine powering the AI-driven economy, securing revenue streams that could persist for years. Meta is wagering its financial heft on the belief that owning the best infrastructure will translate into owning the consumer relationship. As the calendar moves toward 2027, the success of this partnership could shape the trajectory of the entire tech sector.
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