Marvell Announces Successful Interoperability of Structera CXL Portfolio with AMD EPYC CPU and 5th Gen Intel Xeon Scalable Platforms
Marvell Technology (NASDAQ: MRVL) has announced successful interoperability testing of its Structera Compute Express Link (CXL) portfolio with both AMD EPYC CPUs and 5th Gen Intel Xeon platforms. The testing demonstrated seamless integration across various configurations and workloads.
The Structera product family, built on CXL 2.0, includes two key products:
- Structera A: Near-memory accelerators with Arm Neoverse V2 cores and DDR5 support
- Structera X: Memory expansion controllers supporting DDR4 and DDR5 DIMMs
This interoperability enables cloud data center providers to increase memory capacity and bandwidth, add computing cores, and optimize resource utilization. The technology supports memory-intensive applications like AI, machine learning, and high-performance computing while promoting sustainable data center architectures.
Marvell Technology (NASDAQ: MRVL) ha annunciato il successo dei test di interoperabilità del suo portfolio Structera Compute Express Link (CXL) con CPU AMD EPYC e piattaforme Intel Xeon di 5ª generazione. I test hanno dimostrato un'integrazione fluida in diverse configurazioni e carichi di lavoro.
La famiglia di prodotti Structera, basata su CXL 2.0, comprende due prodotti principali:
- Structera A: acceleratori near-memory con core Arm Neoverse V2 e supporto DDR5
- Structera X: controller per l'espansione della memoria compatibili con DIMM DDR4 e DDR5
Questa interoperabilità consente ai fornitori di data center cloud di aumentare la capacità e la larghezza di banda della memoria, aggiungere core di calcolo e ottimizzare l’utilizzo delle risorse. La tecnologia supporta applicazioni ad alta intensità di memoria come AI, machine learning e calcolo ad alte prestazioni, promuovendo al contempo architetture di data center sostenibili.
Marvell Technology (NASDAQ: MRVL) ha anunciado la exitosa prueba de interoperabilidad de su portafolio Structera Compute Express Link (CXL) con CPUs AMD EPYC y plataformas Intel Xeon de 5ª generación. Las pruebas demostraron una integración fluida en diversas configuraciones y cargas de trabajo.
La familia de productos Structera, basada en CXL 2.0, incluye dos productos clave:
- Structera A: aceleradores near-memory con núcleos Arm Neoverse V2 y soporte DDR5
- Structera X: controladores de expansión de memoria compatibles con DIMM DDR4 y DDR5
Esta interoperabilidad permite a los proveedores de centros de datos en la nube aumentar la capacidad y el ancho de banda de la memoria, añadir núcleos de cómputo y optimizar la utilización de recursos. La tecnología soporta aplicaciones que requieren mucha memoria como IA, aprendizaje automático y computación de alto rendimiento, al tiempo que fomenta arquitecturas de centros de datos sostenibles.
Marvell Technology (NASDAQ: MRVL)는 자사의 Structera Compute Express Link (CXL) 포트폴리오가 AMD EPYC CPU 및 5세대 Intel Xeon 플랫폼과 성공적으로 상호 운용 테스트를 완료했다고 발표했습니다. 테스트 결과 다양한 구성과 워크로드에서 원활한 통합이 확인되었습니다.
Structera 제품군은 CXL 2.0을 기반으로 하며, 두 가지 주요 제품으로 구성됩니다:
- Structera A: Arm Neoverse V2 코어와 DDR5 지원을 갖춘 근거리 메모리 가속기
- Structera X: DDR4 및 DDR5 DIMM을 지원하는 메모리 확장 컨트롤러
이 상호 운용성은 클라우드 데이터 센터 제공업체가 메모리 용량과 대역폭을 확대하고, 컴퓨팅 코어를 추가하며, 자원 활용을 최적화할 수 있게 합니다. 이 기술은 AI, 머신러닝, 고성능 컴퓨팅과 같은 메모리 집약적 애플리케이션을 지원하며, 지속 가능한 데이터 센터 아키텍처를 촉진합니다.
Marvell Technology (NASDAQ : MRVL) a annoncé le succès des tests d’interopérabilité de son portefeuille Structera Compute Express Link (CXL) avec les processeurs AMD EPYC et les plateformes Intel Xeon de 5e génération. Les tests ont démontré une intégration fluide à travers diverses configurations et charges de travail.
La famille de produits Structera, basée sur CXL 2.0, comprend deux produits clés :
- Structera A : accélérateurs near-memory avec cœurs Arm Neoverse V2 et support DDR5
- Structera X : contrôleurs d’extension mémoire compatibles avec les DIMM DDR4 et DDR5
Cette interopérabilité permet aux fournisseurs de centres de données cloud d’augmenter la capacité et la bande passante mémoire, d’ajouter des cœurs de calcul et d’optimiser l’utilisation des ressources. La technologie prend en charge les applications gourmandes en mémoire telles que l’IA, l’apprentissage automatique et le calcul haute performance, tout en favorisant des architectures de centres de données durables.
Marvell Technology (NASDAQ: MRVL) hat erfolgreiche Interoperabilitätstests seines Structera Compute Express Link (CXL) Portfolios mit AMD EPYC CPUs und Intel Xeon Plattformen der 5. Generation angekündigt. Die Tests zeigten eine nahtlose Integration über verschiedene Konfigurationen und Workloads hinweg.
Die Structera-Produktfamilie, basierend auf CXL 2.0, umfasst zwei Hauptprodukte:
- Structera A: Near-Memory-Beschleuniger mit Arm Neoverse V2 Kernen und DDR5-Unterstützung
- Structera X: Speichererweiterungscontroller, die DDR4- und DDR5-DIMMs unterstützen
Diese Interoperabilität ermöglicht Cloud-Rechenzentrumsanbietern, die Speicherkapazität und Bandbreite zu erhöhen, Rechenkerne hinzuzufügen und die Ressourcennutzung zu optimieren. Die Technologie unterstützt speicherintensive Anwendungen wie KI, maschinelles Lernen und Hochleistungsrechnen und fördert gleichzeitig nachhaltige Rechenzentrumsarchitekturen.
- Successful interoperability testing with major CPU platforms expands market reach
- CXL 2.0 technology enables enhanced memory efficiency and resource optimization
- Product portfolio supports both DDR4 and DDR5 memory standards
- Solutions target high-growth markets (AI, ML, high-performance computing)
- None.
Insights
Marvell's CXL interoperability with AMD and Intel CPUs expands their addressable market for memory acceleration solutions in AI/ML data centers.
Marvell's successful interoperability testing of their Structera CXL portfolio with both AMD EPYC and Intel Xeon platforms represents a significant strategic achievement in the semiconductor space. By ensuring compatibility across the two dominant server CPU architectures, Marvell has effectively doubled their addressable market for these memory solutions rather than being to a single platform's ecosystem.
The Compute Express Link (CXL) 2.0 standard addresses one of the most critical bottlenecks in today's data centers - memory bandwidth and capacity constraints that limit performance for AI, machine learning, and in-memory database workloads. As these memory-intensive applications proliferate, the ability to efficiently scale memory resources becomes increasingly valuable.
Marvell's approach with two distinct product lines shows strong market positioning: Structera A provides near-memory acceleration with ARM Neoverse V2 cores and up to
The explicit endorsements from AMD and Intel executives indicate strong ecosystem support and validation of Marvell's implementation. The mention of "mass deployment" suggests Marvell has moved beyond proof-of-concept to commercial-ready solutions. This cross-platform compatibility positions Marvell favorably in the rapidly developing CXL ecosystem, where memory pooling and resource optimization are becoming essential for next-generation data center architectures.
Marvell's cross-platform CXL compatibility enables flexible memory scaling for AI workloads across heterogeneous data center environments.
For cloud operators, memory constraints have emerged as a critical bottleneck affecting performance and efficiency of data-intensive applications. Marvell's demonstration of Structera CXL 2.0 interoperability with both AMD and Intel platforms addresses a significant pain point by enabling flexible memory expansion across heterogeneous computing environments.
This compatibility is strategically important because it allows data centers to deploy these solutions broadly without being locked into a single CPU vendor's ecosystem. Cloud architectures typically contain a mix of processor platforms optimized for different workloads, and the ability to implement consistent memory expansion technology across these diverse environments simplifies deployment and management.
The cache coherency capabilities enabled by CXL 2.0 allow for memory pooling across devices, which significantly improves resource utilization efficiency. This means data centers can potentially reduce their server footprint while maintaining or improving performance for memory-bound applications. The technology directly supports the industry's focus on sustainable data center architectures and optimized total cost of ownership.
For applications like AI inference and training, in-memory databases, and high-performance computing, memory bandwidth often determines performance more than processing power. Marvell's solution addresses both dimensions with Structera X providing terabyte-scale memory expansion and Structera A adding computational capabilities with ARM cores for workload acceleration.
The successful multi-vendor interoperability testing indicates these solutions are production-ready, positioning Marvell favorably as CXL adoption accelerates in cloud environments seeking more efficient architectures for memory-intensive workloads.
Enabling Cloud Data Center Operators to Overcome Memory Performance and Scaling Challenges in General-purpose Servers
Marvell collaborated with AMD and Intel to extensively test Structera CXL products with AMD EPYC and 5th Gen Intel Xeon Scalable platforms across various configurations, workloads, and operating conditions. The results demonstrated seamless interoperability, delivering stability, scalability, and high-performance memory expansion that cloud data center providers need for mass deployment.
This interoperability gives customers the flexibility to choose from a variety of CPU architectures, enabling deployment of CXL solutions across diverse hardware configurations. By leveraging the strengths of each platform for specific workloads and applications, customers can maximize their investment while maintaining seamless integration and consistent performance.
"CXL 2.0 represents the next generation of scalable infrastructure. The collaboration between AMD, Intel and Marvell will help enable the growth of an ecosystem for driving the benefits of CXL for customers everywhere," said Will Chu, senior vice president and general manager, Custom Cloud Solutions at Marvell. "This successful interoperability showcases our ability to deliver innovative, high-performance solutions that redefine the efficiency, sustainability, and performance of cloud technology."
"We are committed to advancing high-performance, scalable, and energy-efficient solutions to power next-generation data centers," said Raghu Nambiar, corporate vice president, Data Center Ecosystems and Solutions, AMD. "Our deep technology partnership with Marvell combines the robust capabilities of AMD EPYC processors with Marvell's CXL portfolio to help our customers unlock enhanced memory efficiency, greater flexibility, and reduced total cost of ownership—driving tangible benefits for business-critical workloads."
"Our collaboration and ongoing enablement activities with Marvell demonstrate our commitment to the CXL 2.0 standard, helping to ensure memory efficiency and seamless deployment across cloud-scale infrastructures," stated Richelle Ahlvers, director, Ecosystem Enabling and Technology Initiatives, Intel.
Enabling Scalable and Efficient Data Center Architectures
The Structera product family, built on CXL 2.0, enables cloud service providers and server OEMs to dramatically increase the memory capacity and bandwidth of servers or add additional computing cores to improve the performance and capabilities of cloud servers efficiently and economically. Structera can also add computing cores for offloading memory-intensive applications such as artificial intelligence, machine learning, in-memory databases and high-performance computing. Key products within the Structera portfolio include:
- Structera A: Near-memory accelerators featuring server-class Arm® Neoverse® V2 cores, DDR5 support, and up to 1.6 Tbps of memory bandwidth, optimized for high-bandwidth workloads such as deep learning recommendation models (DLRM).
- Structera X: Memory expansion controllers supporting DDR4 and DDR5 DIMMs, enabling the deployment of terabytes of memory capacity while optimizing both cost efficiency and power consumption.
The integration of CXL 2.0 technology enables cache coherency and memory pooling across devices, optimizing resource utilization, reducing the need for additional servers, and promoting sustainable data center architectures.
About Marvell
To deliver the data infrastructure technology that connects the world, we're building solutions on the most powerful foundation: our partnerships with our customers. Trusted by the world's leading technology companies for over 25 years, we move, store, process and secure the world's data with semiconductor solutions designed for our customers' current needs and future ambitions. Through a process of deep collaboration and transparency, we're ultimately changing the way tomorrow's enterprise, cloud, automotive, and carrier architectures transform—for the better.
Marvell and the M logo are trademarks of Marvell or its affiliates. Please visit www.marvell.com for a complete list of Marvell trademarks. Other names and brands may be claimed as the property of others.
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This press release contains forward-looking statements within the meaning of the federal securities laws that involve risks and uncertainties. Forward-looking statements include, without limitation, any statement that may predict, forecast, indicate or imply future events, results or achievements. Actual events, results or achievements may differ materially from those contemplated in this press release. Forward-looking statements are only predictions and are subject to risks, uncertainties and assumptions that are difficult to predict, including those described in the "Risk Factors" section of our Annual Reports on Form 10-K, Quarterly Reports on Form 10-Q and other documents filed by us from time to time with the SEC. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and no person assumes any obligation to update or revise any such forward-looking statements, whether as a result of new information, future events or otherwise.
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