Marvell Delivers Marvelous AI Growth, But Stock Sinks -- Should Investors Jump In?
Shares of Marvell Technology (NASDAQ: MRVL) sank, despite the company once again displaying robust data center and artificial intelligence (AI) revenue growth, when it reported its fiscal Q1 earnings results on May 29. The stock is now down about 43% year to date, as of this writing.Let's dig into the chipmaker's latest results and forecast for the current fiscal year to see if investors should buy the dip.Marvell has been a solid beneficiary of the AI infrastructure build-out, supplying networking chips, connectivity solutions, and storage controllers used to build and scale servers for AI workloads. The company also works closely with cloud computing providers on custom chips, helping them design their own AI chips and contributing IP (intellectual property) used in Amazon's (NASDAQ: AMZN) custom chips. Most recently, Marvell announced a partnership with Nvidia to support NVLink Fusion, which allows customers to integrate Marvell's custom AI chips into Nvidia rack-scale systems.Continue reading
Shares of Marvell Technology (NASDAQ: MRVL) sank, despite the company once again displaying robust data center and artificial intelligence (AI) revenue growth, when it reported its fiscal Q1 earnings results on May 29. The stock is now down about 43% year to date, as of this writing.
Let's dig into the chipmaker's latest results and forecast for the current fiscal year to see if investors should buy the dip.
Marvell has been a solid beneficiary of the AI infrastructure build-out, supplying networking chips, connectivity solutions, and storage controllers used to build and scale servers for AI workloads. The company also works closely with cloud computing providers on custom chips, helping them design their own AI chips and contributing IP (intellectual property) used in Amazon's (NASDAQ: AMZN) custom chips. Most recently, Marvell announced a partnership with Nvidia to support NVLink Fusion, which allows customers to integrate Marvell's custom AI chips into Nvidia rack-scale systems.
