• Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
Friday, June 5, 2026
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
No Result
View All Result

Home » Marvell Expands CXL with CPU and DRAM Interoperability

Marvell Expands CXL with CPU and DRAM Interoperability

September 2, 2025
in Semiconductors
A A

Marvell announced that its Structera Compute Express Link (CXL) memory-expansion controllers and near-memory accelerators have completed interoperability testing with DDR4 and DDR5 memory from Micron, Samsung, and SK hynix. This follows earlier validation with AMD EPYC and 5th Gen Intel Xeon CPUs, making Structera the first CXL 2.0 product line proven across both major processor architectures and all three leading DRAM suppliers.

The Structera lineup includes two device families. Structera A integrates 16 Arm Neoverse V2 cores with multiple memory channels to support high-bandwidth applications such as deep learning recommendation models. Structera X enables servers to expand memory capacity by terabytes for in-memory databases and other large-scale workloads. Both device types feature four memory channels, inline LZ4 compression, and are built on 5nm process technology. Marvell also offers Structera as licensable IP for integration into custom silicon, giving hyperscalers the option to embed CXL capabilities directly into their designs.

By validating Structera across CPUs and DRAM vendors, Marvell seeks to reduce integration risks for OEMs and cloud providers while giving customers more flexibility in system design and supply chain planning. The company says the product line supports both standard and customized deployment models.

  • Structera validated with DDR4/DDR5 from Micron, Samsung, and SK hynix
  • Proven interoperability with AMD EPYC and 5th Gen Intel Xeon CPUs
  • Structera A: near-memory accelerator with 16 Arm Neoverse V2 cores for AI/ML
  • Structera X: memory expansion controllers enabling terabyte-scale capacity
  • Available as discrete silicon or licensable IP for custom SoCs

“As AI and high-performance computing workloads intensify, CXL will help dissolve bottlenecks for demanding workloads that can consume upwards of hundreds of terabytes of memory capacity,” said Praveen Vaidyanathan, vice president and general manager of Cloud Memory Products at Micron.

🌐 Analysis: Compute Express Link (CXL) is an open industry standard designed to create a unified, high-speed interconnect between CPUs, memory, and accelerators. CXL 2.0, the current widely deployed version, adds features such as memory pooling and switching, enabling data centers to share and scale memory more flexibly. The CXL Consortium, backed by Intel, AMD, Arm, and major cloud providers, continues to advance the specification toward 3.0 and 3.1, which bring enhanced switching and fabric capabilities. Industry players such as Astera Labs, Montage Technology, and Rambus are also delivering controllers and switches, while hyperscalers are testing CXL to break through memory bottlenecks in AI and in-memory workloads. Marvell’s ability to demonstrate interoperability across CPUs and DRAM suppliers positions Structera as a frontrunner in an ecosystem that is just beginning to move into large-scale deployment.

🌐 We’re tracking the latest developments in networking silicon. Follow our ongoing coverage at: https://convergedigest.com/category/semiconductors/

Tags: CXLMarvell
ShareTweetShareSummarizeSummarize
Previous Post

Fujitsu, 1Finity, and Arrcus Target AI-Era Networks

Next Post

Oak Ridge National Lab Installs Quantum Brilliance Hybrid Cluster

Jim Carroll

Jim Carroll

Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

Related Posts

Automotive Networking

Marvell Launches 102.4 Tbps Teralynx T100 Switch

June 1, 2026
Financials

Marvell Posts Record $2.418B Quarter as AI Infrastructure Surges

May 27, 2026
Optical

Marvell Adds Plasmonics to Optical Stack with Polariton Acquisition

April 22, 2026
Video

Marvell: Big Outlook for XPU-Attach

April 16, 2026
Semiconductors

NVIDIA Invests $2B in Marvell to Extend NVLink Fusion AI Ecosystem

March 31, 2026
All

Optica Executive Forum: Marvell’s Radha Nagarajan on Optical Interconnects for AI

March 19, 2026
Next Post

Oak Ridge National Lab Installs Quantum Brilliance Hybrid Cluster

Categories

  • 5G / 6G / Wi-Fi
  • AI Infrastructure
  • All
  • Automotive Networking
  • Blueprints
  • Clouds and Carriers
  • Data Centers
  • Enterprise
  • Explainer
  • Feature
  • Financials
  • Last Mile / Middle Mile
  • Legal / Regulatory
  • Optical
  • Quantum
  • Research
  • Security
  • Semiconductors
  • Space
  • Start-ups
  • Subsea
  • Sustainability
  • Video
  • Webinars

Archives

Tags

5G All AT&T Australia AWS Blueprint columns BroadbandWireless Broadcom China Ciena Cisco Data Centers Dell'Oro Ericsson FCC Financial Financials Huawei Infinera Intel Japan Juniper Last Mile Last Mille LTE Mergers and Acquisitions Mobile NFV Nokia Optical Packet Systems PacketVoice People Regulatory Satellite SDN Service Providers Silicon Silicon Valley StandardsWatch Storage TTP UK Verizon Wi-Fi
Converge Digest

A private dossier for networking and telecoms

Follow Us

  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

No Result
View All Result
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.
Go to mobile version