Archive for the 'Data Center' Category
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September 29, 2026
Marvell Wins EDGE Award for COLORZ 1600 2nm 1.6T ZR/ZR+ Pluggable Optical Platform
By Vienna Alexander, Marketing Content Professional, Marvell
In the 2026 EDGE awards, the Marvell® COLORZ® 1600 2nm 1.6T ZR/ZR+ pluggable optical platform won the Machine Vision and Optical Components & Systems category.
Electronic Design presented this year’s winners and honorees to celebrate recent design and engineering feats that excel in the industry. These innovations are pushing the bounds and represent the leading “EDGE” of technology.
Marvell COLORZ 1600 is the industry’s first 1.6T ZR/ZR+ data center interconnect (DCI) pluggable. Powered by Marvell Electra, the industry’s first 2nm 1.6T ZR/ZR+ coherent DSP, the device delivers efficient, high-performance and secure optical transmission for hyperscale AI and cloud networks globally. The pluggable is purpose-built for long-distance links; COLORZ 1600 connects campus (20km), metro (120km) and regional (1,000km) data centers at 1.6T.
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September 22, 2026
Is Memory the New Network? Inside the First MemNetAI Workshop at SIGCOMM
By Abed Mohammad Kamaluddin, Director, Custom Cloud Solutions, Marvell, and Vienna Alexander, Marketing Content Professional, Marvell
For most of the last decade, scaling AI meant scaling compute. If you built faster accelerators and wired enough of them together, the models would follow.
That is no longer the whole picture. Models now run to hundreds of billions of parameters with extensive context windows, and whether an expensive accelerator is working or just waiting comes down to memory: how much you have, how fast you can reach it, and how much time you lose moving data around.
Once memory leaves the server and rides a switched fabric, is it still memory, or has it become a network? This was the central question of MemNetAI, the first workshop on Memory-Semantic Networking for AI-Scale Systems, launched by Marvell with researchers from IIT Hyderabad and IIIT Delhi. Held at ACM SIGCOMM 2026 in Denver and guided by a program committee spanning academia and industry, it brought speakers from Cornell, alongside industry experts and researchers presenting their work, to debate these questions on the bleeding edge of AI infrastructure.
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September 10, 2026
Marvell Demonstrates Scalable CXL Memory Infrastructure with Intel
By Khurram Malik, Associate Vice President, Custom Cloud Solutions, Marvell
The rapid growth of AI is creating unprecedented demand for memory capacity. As models get larger and workloads become more data-intensive, traditional server architectures are increasingly challenged to scale memory efficiently.
At Flash Memory Summit (FMS), Marvell demonstrated how CXL can enable a more flexible and scalable approach to memory infrastructure, showcasing an end-to-end architecture at the Intel® booth.
The demonstration combined an Intel platform with three Marvell® technologies: Structera® X CXL memory expander, Structera® S CXL switch and Alaska® P PCIe retimer. Together, they demonstrated how memory expansion, CXL switching and high-speed PCIe connectivity can work together within a real server platform.
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September 09, 2026
Marvell Structera X Extends CXL Interoperability to NVIDIA Vera
By Arifur Rahman, Director of Product Marketing, Custom Cloud Solutions, Marvell
Memory has become the defining constraint of modern AI infrastructure. Large language models, in-memory databases, and deep learning recommendation models all share the same bottleneck: there is never enough DRAM. Compute Express Link (CXL) was designed to break that bottleneck but a CXL memory expander is only as valuable as the breadth of platforms it can run on.
That is why ecosystem enablement is a core pillar of Marvell's CXL strategy. Today we are marking a new milestone: successful interoperability of the Marvell® Structera™ X CXL memory-expansion controller with the NVIDIA Vera CPU platform.
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August 04, 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.
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- Marvell Wins EDGE Award for COLORZ 1600 2nm 1.6T ZR/ZR+ Pluggable Optical Platform
- Is Memory the New Network? Inside the First MemNetAI Workshop at SIGCOMM
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