AI data centers keep scaling, yet the connections between thousands of GPUs remain a stubborn bottleneck. Hyperscalers face rising power demands and bandwidth limits that copper wiring struggles to handle. This morning, Nvidia (NASDAQ:NVDA | NVDA Price Prediction) announced a $2 billion investment in Marvell Technology (NASDAQ:MRVL) and launched a broader AI partnership that brings Marvell deeper into its ecosystem.
That single move just handed retail investors a clear signal: the infrastructure layer supporting Nvidia’s dominance now has direct backing from the GPU leader itself.
The $2 Billion Partnership
Let’s break the deal down. Nvidia invested $2 billion directly in Marvell and integrated the company more tightly into its AI ecosystem. This goes beyond a typical supplier relationship. It signals confidence that Marvell’s technologies — including custom silicon, networking, and interconnect solutions — will play a bigger role in next-generation AI infrastructure.
The timing lines up with broader industry shifts. Just weeks earlier, Nvidia committed $2 billion each to photonics specialists Lumentum (NASDAQ:LITE) and Coherent (NYSE:COHR) to accelerate optical connections for its Vera Rubin platform. Marvell, which closed its $3.25 billion acquisition of Celestial AI last month, brings photonic fabric technology that complements those efforts by enabling faster, more efficient data movement between chips.
In short, Nvidia is investing in the full stack — from GPUs to the plumbing that makes massive clusters work.
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Marvell’s Momentum Before and After the News
Marvell didn’t need the investment to show strength. The company reported record fiscal 2026 results on March 5, with revenue reaching $8.195 billion, up 42% year-over-year. Data-center revenue, which now accounts for the majority of the business, drove that growth. Non-GAAP earnings rose 81% to $2.84 per share. For the fourth quarter, revenue hit $2.219 billion, up 22% from the prior year, with adjusted EPS at $0.80 — beating estimates by a penny.
Management guided fiscal 2027 revenue above $11 billion, implying more than 30% growth, with data-center revenue expected to accelerate. Bookings continued at a record pace, and design wins for the year set an all-time high. The Celestial AI deal adds photonic capabilities that address exactly the interconnect challenges Nvidia is tackling.
Here’s how Marvell compares on key metrics:
- Forward P/E: Approximately 22.9x — below its historical average and reasonable for projected growth.
- Fiscal 2027 outlook: Revenue expected around $11 billion or higher; data-center segment targeted for roughly 40% growth in coming periods.
- Analyst consensus: Moderate Buy to Strong Buy, with average 12-month price targets clustered near $117, suggesting 25% upside from recent levels around $88.
Compare that to peers. Broadcom (NASDAQ:AVGO) also supplies custom ASICs and networking, yet Marvell’s combination of custom silicon, Ethernet solutions, and now expanded photonics through Celestial gives it a differentiated rack-level story. Nvidia dominates compute, but it still relies on partners like Marvell for connectivity and co-design work with hyperscalers building their own AI chips.
Granted, Marvell carries integration risk with the Celestial acquisition and remains exposed to hyperscaler spending cycles. That said, the $2 billion Nvidia investment reduces some execution uncertainty by aligning incentives more closely. No new heavy debt was needed for the Celestial deal, and Marvell maintained capital returns.
No matter how you slice it, Nvidia’s direct capital commitment validates Marvell’s positioning in the AI supply chain.
Key Takeaway
Smart investors recognize that pure GPU plays aren’t the only way to participate in AI growth. Nvidia’s $2 billion investment in Marvell, paired with the new ecosystem partnership, strengthens the case for the infrastructure enablers that make large-scale AI deployments possible. At roughly 23x forward earnings with 30% revenue growth projected for fiscal 2027, Marvell offers a data-backed way to own the next phase of data-center expansion.
Consider building a position when the stock dips, keeping the allocation sized appropriately for volatility, and watch for upcoming hyperscaler design wins and photonic deployment updates. The AI buildout needs more than GPUs — it needs reliable, high-speed connections. With Nvidia’s backing, Marvell Technology just gained a clearer path to supply them.
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