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Corporate Score 62 Bullish

Marvell Technology Shares Surge on AI Networking Optimism and Nvidia Partnership

Apr 09, 2026 22:50 UTC
MRVL, NVDA
Medium term

Marvell Technology (MRVL) saw a nearly 5% price increase following bullish projections for its optical-networking business. The growth is underpinned by a strategic partnership with Nvidia and the recent acquisition of Celestial AI.

  • Stock price increased nearly 5% on Thursday
  • Barclays price target raised to $150
  • Projected 90% growth in optical-networking sales for 2026-2027
  • $3.25 billion acquisition of Celestial AI completed in December
  • $2 billion investment received from Nvidia

Marvell Technology shares climbed nearly 5% on Thursday, driven by optimistic analyst projections regarding the company's role in the expanding AI data center ecosystem. The rally follows a report from Barclays analyst Tom O'Malley, who highlighted the undervalued nature of Marvell's optical components business. O'Malley forecasts that sales in the optical-networking segment could surge by as much as 90% across 2026 and 2027. This equipment is essential for enabling the ultra-fast data transmission required within advanced AI infrastructure. Based on these projections, Barclays has set a price target of $150 for Marvell, representing a potential 25% upside from current levels. Marvell's growth strategy has been bolstered by aggressive expansion and strategic alliances. In December, the company acquired Celestial AI, a leader in power-efficient connectivity tools, for $3.25 billion. This move significantly broadened Marvell's product offerings and strengthened its optical technology capabilities. Furthermore, a strategic partnership established in March with Nvidia has integrated Marvell's custom chips and networking solutions into Nvidia's AI computing platform. As part of this agreement, Nvidia provided a $2 billion investment to fund Marvell's expansion. These developments position Marvell's application-specific integrated circuits (ASICs) as critical components for cloud data center operators seeking to accelerate AI workloads.

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