Marvell
Marvell delivers the semiconductor backbone for AI era data centers: custom silicon, high-radix Ethernet switching up to 102.4 Tbps, coherent optical connectivity, DPUs, controllers, PHYs, and CXL/PCIe fabrics that scale compute, memory, and storage reliably across racks, rows, and campuses.
Overview
Typical engagements start with architecture goals—bandwidth, latency, telemetry, security—and map them to silicon choices: custom SoCs, high-radix Ethernet switching, coherent optics, DPUs, controllers, and PHYs. Teams validate power, thermal, and observability, then integrate drivers and firmware to operationalize fabrics across clusters.
Connectivity-First AI Infrastructure
Marvell suits hyperscale cloud providers, networking and storage OEMs, telecom operators rolling out 5G core and RAN, enterprise network architects modernizing campuses, and public sector programs requiring vetted silicon supply and long lifecycles. Infrastructure and platform teams prioritizing deterministic performance, observability, and energy efficiency will benefit most.
- Custom silicon co-designed to optimize compute, memory, acceleration, and power for hyperscale AI.
- Ethernet switching platforms scale to monolithic 102.4 Tbps with rich telemetry.
- Coherent optical modules and drivers extend data center reach with lower power.
- DPUs, controllers, and PHYs secure and accelerate networking, storage, and virtualization.
- CXL, PCIe retimers, and SSD controllers enable disaggregated memory and storage fabrics.
Key Capabilities
Who Uses Marvell
Getting started typically involves a solution consultation to translate workload, topology, and power constraints into a bill of materials and a validation plan. Customers access product documentation, public driver downloads, and security advisories, with evaluation hardware and reference designs available through sales. Integration proceeds with firmware and driver bring-up, telemetry configuration, and soak testing. Support channels and the customer portal coordinate issue tracking, performance tuning, and production readiness reviews.
AI scale is bounded by interconnect; compute only matters when the network keeps up.
Getting Started
Marvell’s differentiator is breadth plus depth: custom silicon co-designed to application goals, monolithic 102.4 Tbps switching for simpler fabrics, and leading optical connectivity strengthened by recent acquisitions. Strategic ecosystem partnerships broaden accelerator interoperability and roadmap resilience, making Marvell a pragmatic choice for long-horizon AI infrastructure.
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Marvell
Marvell Technology, Inc. designs and supplies data infrastructure semiconductors spanning compute, networking, storage, security, and optical connectivity. The company focuses on hyperscale data centers, enterprise networks, and carriers, delivering silicon platforms and interconnects that emphasize bandwidth, efficiency, observability, and reliability.
Marvell is a core infrastructure partner to hyperscalers, carriers, and enterprises building accelerated computing. The portfolio spans custom application-specific silicon, Ethernet switch silicon scaling to monolithic 102.4 Tbps, coherent optical modules and drivers, DPUs, Ethernet controllers and PHYs, PCIe retimers, CXL components, and storage controllers. Together these parts form high-bandwidth, power-efficient fabrics that move, secure, and process data from accelerator to rack to data center and multi-campus networks. Customers co-design compute and interconnect where it matters, then pair it with telemetry-rich switching, optical links, and hardened I/O to maximize utilization of GPUs, CPUs, and memory. Public driver downloads, a product security center, and extensive documentation support deployment at scale. With acquisitions and ecosystem partnerships, Marvell advances the state of interconnect, enabling low-latency, reliable infrastructure required by modern AI training and inference.
www.marvell.com/
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