Archive for the 'Company News' Category
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February 05, 2026
Marvell Wins Interconnect Product of the Year for Ara 3nm 1.6T PAM4 DSP
By Vienna Alexander, Marketing Content Professional, Marvell
In the Product of the Year Awards, Electronic Design News (EDN) named Marvell as the winner of the Interconnects category for its 3nm 1.6T PAM4 Interconnect Platform, known as Ara. Ara is the industry’s first 3nm PAM4 DSP specializing in bandwidth, power efficiency and integration for AI and data center scale-out accelerated infrastructure.
These awards are a 50-year tradition that recognizes outstanding products that demonstrate significant technological advancement, especially innovative design, or a substantial improvement in price or performance. Over 100 products were evaluated spanning 13 categories to determine the winners.
The Ara 3nm 1.6T PAM4 DSP integrates eight 200G electrical lanes and eight 200G optical lanes in a compact, standardized module form factor. Ara sets a new standard in optical interconnect technology, integrating advanced laser drivers and signal processing into a singular device, thereby reducing power per bit. With the product, system design is simplified across entire AI data center network stacks. Power consumption is also reduced, enabling denser optical connectivity and faster deployment of AI clusters.
Ara has also received other recognitions, demonstrating Marvell leadership in optical DSPs and the interconnect realm.
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December 16, 2025
Custom Silicon: A Sea Change for Semiconductors
By Sandeep Bharathi, president, Data Center Group, Marvell
This blog was originally posted at Fortune.
Semiconductors have transformed virtually every aspect of our lives. Now, the semiconductor industry is on the verge of a profound transformation itself.
Customized silicon—chips uniquely tailored to meet the performance and power requirements of an individual customer for a particular use case—will increasingly become pervasive as data center operators and AI developers seek to harness the power of AI. Expanded educational opportunities, better decision making, ways to improve the sustainability of the planet all become possible if we get the computational infrastructure right.
The turn to custom, in fact, is already underway. The number of GPUs—the merchant chips employed for AI training and inference—produced today is nearly double the number of custom XPUs built for the same tasks. By 2028, custom accelerators will likely pass GPUs in units shipped, with the gap expected to grow.1
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December 03, 2025
Marvell Named to America’s Most Responsible Companies 2026 List
By Vienna Alexander, Marketing Content Professional, Marvell
Marvell has been named in Newsweek and Statista’s list of America’s Most Responsible Companies for 2026. This is the second consecutive year Marvell has been recognized as one of America’s Most Responsible Companies, demonstrating an ongoing commitment to sustainable excellence and social responsibility. It is a testament to the company’s dedication to doing what’s right—from environmental initiatives and community support to sustainable product design and responsible operations.
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December 02, 2025
5 Times More Queries per Second: What CXL Compute Accelerators Can Do for AI
By Khurram Malik, Senior Director of Marketing, Custom Cloud Solutions, Marvell
Near-memory compute technologies have always been compelling. They can offload tasks from CPUs to boost utilization and revenue opportunities for cloud providers. They can reduce data movement, one of the primary contributors to power consumption,1 while also increasing memory bandwidth for better performance.
They have also only been deployed sporadically; thermal problems, a lack of standards, cost and other issues have prevented many of these ideas giving developers that goldilocks combination of wanted features that will jumpstart commercial adoption.2
This picture is now changing with CXL compute accelerators, which leverage open standards, familiar technologies and a broad ecosystem. And, in a demonstration at OCP 2025, Samsung Electronics, software-defined composable solution provider Liqid, and Marvell showed how CXL accelerators can deliver outsized gains in performance.
The Liqid EX5410C is a demonstration of a CXL memory pooling and sharing appliance capable of scaling up to 20TB of additional memory. Five of the 4RU appliances can then be integrated into a pod for a whopping 100TB of memory and 5.1Tbps of additional memory bandwidth. The CXL fabric is managed by Liqid’s Matrix software that enables real-time and precise memory deployment based on workload requirements:
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December 02, 2025
Marvell Makes Inaugural 100 Best Companies in Southeast Asia List
By Vienna Alexander, Marketing Content Professional, Marvell
Great Place to Work, in combination with Fortune, launched the first-ever 100 Best Companies to Work For in Southeast Asia. Marvell made the list based on its 2025-2026 Great Place to Work Trust Index™ Survey results for Vietnam, where it earned an impressive 95% rating and positive employee sentiments of community.
Marvell continues to invest in being a great place to work. Recently, Marvell expanded its operations in Vietnam with three new offices that opened in September 2025. Vietnam is a fast-growing innovation hub at Marvell, alongside another Marvell Southeast Asia location, Singapore.
The “100 Best Companies to Work For” accolade recognizes organizations that build cultures where trust, innovation, and performance can thrive. It was compiled from comprehensive survey data gathered from employees in the region. The list is presented by Great Place to Work, the global authority on organizational culture and employee experience, and Fortune, a global leader in recognizing innovation in workplaces.
Recent Posts
- Marvell Named to America’s Best Midsize Employers 2026 Ranking
- Ripple Effects: Why Water Risk Is the Next Major Business Challenge for the Semiconductor Industry
- Boosting AI with CXL Part III: Faster Time-to-First-Token
- Marvell Wins Interconnect Product of the Year for Ara 3nm 1.6T PAM4 DSP
- Improving AI Through CXL Part II: Lower Latency
