By Vienna Alexander, Marketing Content Professional, Marvell
Summer at Marvell means one thing: welcoming a new class of interns. The company has established a strong global internship program that has roughly doubled in size over the past few years. This year’s cohort includes more than 500 interns from over 100 universities and schools across 16 countries.
During the program, interns gain hands-on experience working in collaborative teams, contributing to the development of leading-edge semiconductor solutions at a Fortune 500 company. The internship provides opportunities to connect with fellow interns to build community while learning about Marvell products and businesses directly from executive leaders.
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By Rajagopal Krishnaswamy, Associate Vice President, Marvell
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What do customers want from next-generation AI networks? Everything.
AI networks will need to manage exponentially more data across a rapidly expanding number of endpoints and evolving topologies, while reducing both cost and energy per bit. And, with data spending more than 30% of the time inside networks during training,1 congestion, transmission errors and other problems need to be kept to a minimum.
These networks will also need to be able to scale rapidly: AI networking spending is expected to reach $81.3 billion by 2030, more than 10x 2025 levels.2
By Vienna Alexander, Marketing Content Professional, Marvell
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The semiconductor industry is an exciting place to build a career, especially with the exponential growth and demand for hardware innovation in the age of AI—the global semi market is approaching the $1 trillion mark, with 2027’s total market forecast at $831.5 million.1 For young engineers and talent, it provides an opportunity to solve complex problems and work on cutting-edge technology.
By Vienna Alexander, Marketing Content Professional, Marvell
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Marvell was named to both U.S. News’ Best Companies to Work For and TIME’s list of America’s Best Companies for 2026.
By Vikram Dattatri, Senior Engineer, Cloud Platform Group, Marvell
Packet trimming doesn’t prevent traffic losses from occurring; instead, it streamlines the process for recovering them. It is also one of many technologies Marvell is developing to optimize networks for the AI era.
Artificial intelligence infrastructure is driving a fundamental shift in how data center networks are designed, validated, and deployed. As clusters scale to thousands—or even tens of thousands—of GPUs, the network is no longer just a connectivity layer. It becomes a tightly coupled component of the compute system, directly impacting job completion time, efficiency and overall cost.
To address these evolving requirements, Ethernet is undergoing a transformation. At OFC 2026, Marvell and Keysight Technologies demonstrated (see the video below) how next-generation Ethernet fabrics can meet the demands of AI workloads through a combination of advanced features and realistic validation. Leveraging Keysight’s KAI Data Center Builder and AresONE‑M 800GE platform, the collaboration showcased how the Marvell® Teralynx® switch fabric supports emerging Ultra Ethernet Consortium (UEC) capabilities, with a particular focus on packet trimming, Auto Load Balancing (ALB) and Ultra Ethernet Transport (UET).
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