AMD buys into Marvell with new $6.5M investment

AMD invests in Marvell stock and the market is paying close attention. A Form 13F filing submitted on May 12 revealed that Advanced Micro Devices purchased 65,516 shares of Marvell Technology at approximately $99.05 per share. Moreover, the total cost of the purchase came to $6,489,360. Furthermore, the timing of the buy is significant. AMD made the purchase on March 31, exactly when the semiconductor rally was beginning to build momentum.

Marvell’s stock has surged since that purchase date. The shares AMD bought for roughly $99 each are now worth approximately $11.46 million based on recent trading prices. Consequently, AMD has already generated a strong paper gain on the investment in a short period of time.

Why AMD is up 98% year to date

AMD itself has been one of the strongest performing stocks in the market in 2026. The company has gained approximately 98% year to date, according to Yahoo Finance data as of Sunday morning, May 17. Additionally, the S&P 500 has risen about 8.4% over the same period. Therefore, AMD has outpaced the broader market by a remarkable margin.

Several key events have driven AMD’s surge this year. First, the company expanded its partnership with Meta at the end of February. Second, Bank of America revised its server CPU sales forecasts upward in April. Third, Intel’s first quarter earnings, reported on April 23, boosted confidence across the semiconductor sector broadly. Fourth, AMD reported its own strong earnings on May 5, sustaining the momentum further. Fifth, Bank of America then raised its price target for AMD stock directly.

Moreover, AMD operates a corporate venture capital arm called AMD Ventures. Through this arm, the company holds stakes in multiple companies. Consequently, every new investment AMD makes sends a signal of confidence that investors track closely.

Why Marvell matters for AI infrastructure

The reason both AMD and Nvidia are buying Marvell stock comes down to one technology. Silicon photonics is the answer. Marvell uses common-wavelength lasers instead of traditional optical modules for networking. Additionally, those lasers are less expensive and easier to produce at scale. Therefore, as AI data centers grow larger and faster, silicon photonics becomes increasingly essential for keeping them connected.

Nvidia announced a $2 billion investment in Marvell on March 31 and entered into a strategic partnership with the company on the same day. AMD’s purchase also happened on March 31 at the same closing price. Furthermore, the matching date and price point strongly suggest AMD acted in direct response to Nvidia’s move. However, that connection cannot be confirmed with certainty.

Marvell strengthened its silicon photonics position further in February by completing its acquisition of Celestial AI. That company’s Photonic Fabric optical interconnect technology is specifically designed to support high-bandwidth and low-latency connectivity across large AI deployments. Moreover, Marvell already supplies Data Center Interconnect modules to major U.S. hyperscalers. Consequently, the company sits at the center of the infrastructure that powers modern AI at scale.

What the recent stock drop means for investors

Marvell stock fell 3.12% to close at $176.89 on Friday, May 15. Additionally, shares dropped further in after-hours trading to $174.92. The broader semiconductor sector sold off on Friday following President Donald Trump’s meeting with Chinese leader Xi Jinping, which ended without major chip deals. Furthermore, UBS analysts issued a strong warning about semiconductor stocks around the same time.

However, the broader trend for Marvell remains positive. Bank of America rates the stock a buy. Goldman Sachs holds a neutral rating. Additionally, as long as major cloud and AI infrastructure companies continue investing heavily in buildout, demand for Marvell’s networking and interconnect products will stay strong.

The key downside risks include hyperscalers slowing their overall AI spending or Marvell losing market share in custom AI accelerators to competitors. Therefore, investors should monitor both trends carefully going forward.