Interconnects have become one of the fastest growing markets in AI as hyperscalers race to expand their infrastructure. Annual port shipments and revenue for high-speed cables (100G and above) are expected to grow by 42% and 39% through 2030, respectively, reaching a cumulative 1.4 billion units, according to research firm LightCounting.1 That surpasses the unit and revenue growth rates for GPUs, CPUs, memory devices and other major components.2
As data center interconnects extend in reach and increase in speed, their impact on total cost of ownership and return on investment will only intensify. Achieving optimal performance at scale requires live visibility into interconnect fabrics.
Marvell RELIANT (Reliable Link Analytics and Intelligence) is a new software platform that improves network health through real-time intelligence across scale-up, scale-out, and scale-across networks. Tapping into live operational data at the silicon level, RELIANT enables data center operators to visualize and monitor interconnects, conduct diagnostics and proactively prevent link flaps and other problems that can lead to downtime.
Fleet-wide fabric visibility. Marvell RELIANT delivers actionable, real-time insight
into interconnect health at the equipment, rack, row and data center.
RELIANT monitors the range of Marvell interconnect technologies—including coherent digital signal processors (DSPs), COLORZ® data center interconnect modules, PAM4 DSPs, co-packaged optics, active electrical cable (AECs) DSPs, PCIe retimers, and active copper cables equalizers—and can be integrated with other telemetry dashboards for comprehensive visibility.
RELIANT is now available to customers and partners, and Marvell will showcase it at OFC, taking place March 17–19 in Los Angeles, California.
RELIANT: Multiple Ways to View Data
The dashboard below, for instance, shows a live operating status of 70 racks containing 22,656 modules. Of the total, 70 modules (0.3%) indicate a critical issue:

Users can then drill down to the row, rack and individual server level:

RELIANT also lets users isolate and analyze individual interconnect parameters. The image below shows forward error correction performance across a fleet. Interconnect data can be filtered by specific rows or racks, health rating (healthy, warning, critical), connection type (optics, ZR, AEC, etc.), parameter (FEC, bit error rate, signal-to-noise ratio), time period (up to 90 days) and refresh rate (5 seconds to 5 minutes).

Here’s a focused view of the data, highlighting only the critical interconnect warnings across the fleet. Selecting any column reveals more detailed information for the corresponding links:

The interface can also be customized to suit the preferences of employees and organizations:

RELIANT features include:
A New Offering with Years of Experience
RELIANT is the culmination of two interconnect software technologies pioneered over a decade ago that Marvell has steadily continued to refine: a telemetry platform specifically designed for optical DSPs and a telemetry visualization suite to help engineers more readily engage with the data. Marvell has primarily used these capabilities to design and debug optical DSPs and other silicon during product development. RELIANT effectively extends and enhances these capabilities for a new range of use cases and customers.
Partners can also access RELIANT and other telemetry tools in the Marvell Cloud Interoperability Lab to test modules, cables and others across a wide range of customized configuration scenarios with leading XPUs, CPUs, NICs, servers, switches, optical modules and other critical infrastructure devices. Collaboration in the lab enables Marvell and its partners to comprehensively validate technologies, significantly accelerate qualification and deployment timelines, and give data center operators greater confidence from the first plug-in.
In AI environments, time is a critical resource. RELIANT delivers real-time visibility and rapid issue resolution, empowering customers to address emerging problems immediately and apply those learnings to drive ongoing infrastructure optimization. Marvell will share additional updates as we advance our technology initiatives focused on infrastructure efficiency and performance.
# # #
This blog 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 or achievements. Actual events or results may differ materially from those contemplated in this blog. 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.
Tags: AI infrastructure, Optical Interconnect, Optical DSPs, DSP, data center interconnect, AI
Copyright © 2026 Marvell, All rights reserved.