Latest Marvell Blog Articles
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August 25, 2026
Marvell Structera™ X, A and S: A Comprehensive CXL Portfolio Powering AI Memory Innovation
By Khurram Malik, AVP, Data Center Memory and Storage Solutions, Marvell
CXL has become one of the most important technologies shaping AI infrastructure. As hyperscalers race to deploy larger AI models, longer context windows and increasingly memory-intensive inference workloads, memory capacity and bandwidth have emerged as critical constraints on performance, efficiency and scaling. At the same time, CXL adoption is reaching an inflection point, moving from evaluation into real-world deployment across hyperscale environments.
Marvell is leading this transition with Structera™ X memory expansion solutions developed alongside the world’s leading hyperscalers. The story begins with the shipping of Structera X 2404 and 2504 platforms, which have enabled hyperscalers to expand memory resources more efficiently, including extending the useful life of existing DDR4 investments while powering demanding AI workloads.
Structera X is not a series of disconnected product eras—it is a single, continuous architectural evolution. Today’s generation is already delivering real hyperscaler deployments, ecosystem maturity and a compelling TCO advantage. From that foundation, Marvell is extending the architecture toward the next phase of AI infrastructure innovation, adding capabilities enabled by the evolving CXL 3.2 ecosystem, PCIe Gen 6 connectivity and more advanced multi-host memory sharing architectures. These advancements will create larger, more flexible memory pools, enabling more efficient sharing of resources across servers and improving infrastructure utilization at hyperscale. As the architecture advances, Marvell is driving it toward higher bandwidth, deeper data optimization and increasingly disaggregated memory environments built to meet the growing demands of AI workloads.
Why does this matter for hyperscalers?
AI infrastructure economics are increasingly determined by how efficiently memory can be deployed, shared and utilized. Memory stranded behind individual servers reduces overall infrastructure efficiency, while shortages of next-generation memory can slow expansion plans. CXL provides a path to disaggregate and optimize memory resources at scale, improving utilization and maximizing the value of existing investments.
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July 30, 2026
The Marvell Internship Experience: Voices from the Program
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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July 28, 2026
Performance, Connectivity and Programmability: How Teralynx T100 Sets a New Standard in AI Networking
By Rajagopal Krishnaswamy, Associate Vice President, Marvell
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
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July 14, 2026
Uplifting Young Talent in the Semiconductor Industry
By Vienna Alexander, Marketing Content Professional, Marvell
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.
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July 09, 2026
Honoring Workplace Excellence: Best Companies Awards
By Vienna Alexander, Marketing Content Professional, Marvell
Marvell was named to both U.S. News’ Best Companies to Work For and TIME’s list of America’s Best Companies for 2026.
Recent Posts
- Marvell Structera™ X, A and S: A Comprehensive CXL Portfolio Powering AI Memory Innovation
- The Marvell Internship Experience: Voices from the Program
- Performance, Connectivity and Programmability: How Teralynx T100 Sets a New Standard in AI Networking
- Uplifting Young Talent in the Semiconductor Industry
- Honoring Workplace Excellence: Best Companies Awards
