MaxLinear has introduced RackCommander, a portfolio of connectivity, monitoring, control, and power-management chips designed to support what's known as the control plane, the layer of a system responsible for managing and monitoring hardware rather than running the actual workloads, for AI, cloud, enterprise, and edge infrastructure at the rack level.
The new portfolio builds on MaxLinear's previously announced Coronado and Laguna USB-UART chips, which were designed for control-plane connectivity in AI data centers. RackCommander expands on that foundation by bringing together the range of components needed to manage increasingly complex rack-scale systems, including full- and high-speed USB UARTs (chips that handle serial data communication), RS-485 transceivers (used for reliable data communication over longer distances), GPIO expanders (which add more input/output connections), and power management and protection technology. Together, these are meant to support console access and control-plane needs across AI infrastructure setups including universal baseboards, multi-node systems, and full rack-scale architectures.
The push behind this comes from how AI infrastructure is shifting from managing individual servers to managing entire racks as unified systems. A modern AI rack can include multiple compute trays, dozens of AI accelerator chips, power distribution shelves, liquid cooling subsystems, sensors, service processors, and several separate management controllers all working together, a level of complexity that traditional server-focused management approaches weren't built to handle efficiently.
Industry analysts project that data center semiconductor revenue will reach roughly $843 billion by 2030, and market research points to continued growth in demand for rack-controller and rack-management infrastructure as operators deploy denser AI systems. MaxLinear argues that this requires a control plane covering console access, internal infrastructure communication, monitoring, telemetry (the collection of system performance data), protection, and overall rack-level maintainability.
To address these needs, RackCommander offers scalable console connectivity across compute, networking, and storage equipment; high-speed sideband connectivity, meaning a separate communication channel used for service access and infrastructure control apart from the main data path; rack-level aggregation of management and telemetry data; reliable communication between power systems, cooling, sensors, and other infrastructure; broader monitoring and control across distributed resources within a rack; and visibility, protection, and resilience for the power systems that keep critical infrastructure running.
Together, MaxLinear says these capabilities help customers deploy rack-scale AI infrastructure faster, simplify console and service access across compute, networking, and storage assets, consolidate telemetry data across an entire rack, improve operational visibility while reducing downtime, build more scalable rack-management architectures, cut down on system complexity and development effort, and maintain a management layer that stays operational independently of the main production network.
For hyperscalers, OEMs, ODMs, and other infrastructure providers, MaxLinear positions RackCommander as a way to build next-generation AI rack-control systems, an increasingly important differentiator as AI infrastructure moves toward rack-level architectures that need more capable control planes for visibility, connectivity, monitoring, and control.
Amit D. Bavisi, senior vice president and general manager of MaxLinear's Analog Mixed-Signal Business Unit, said AI infrastructure is creating an entirely new control-plane architecture that goes well beyond the traditional baseboard management controller (BMC), the chip that's historically handled basic server management functions. He said future AI racks need to securely connect compute nodes, power shelves, cooling systems, sensors, and service processors into a single unified management system, and that MaxLinear has put together a comprehensive lineup of chips to support that shift, spanning USB-UARTs, RS-485 communication, GPIO expansion, eFuse technology (used for programmable circuit protection), monitoring, telemetry, power management, and protection. He said RackCommander is meant to help customers build the control-plane foundation needed for next-generation rack-scale AI infrastructure.
Jack Tu, senior vice president and chief product marketing officer at WPI Group, said the company is excited to work with MaxLinear and a major cloud service provider on RackCommander, noting that as AI infrastructure moves toward rack-scale architectures, customers are looking for proven technology that speeds up development and deployment while making it easier to manage increasingly complex systems. He said RackCommander brings together a wide range of MaxLinear products that simplify rack management, improve system visibility, and help bring next-generation AI infrastructure solutions to market faster.
