Arrcus announced a collaboration with Fujitsu and 1Finity around FUJITSU-MONAKA, Fujitsu?s next-generation, highly energy efficient Arm-based CPU, to deliver secure, energy-efficient infrastructure tailored for the emerging Physical, Agentic and Training AI era. As AI inference rapidly expands beyond centralized data centers to the edge, enterprises and service providers face new challenges spanning latency, power consumption, data sovereignty, and security. Together, Arrcus and Fujitsu are developing a Secure Sovereign AI Infrastructure architecture designed to support highly distributed AI workloads, from edge inference to scalable AI training, while meeting stringent requirements for performance, efficiency, and governance.
The collaboration integrates FUJITSU-MONAKA?powered compute with Arrcus ArcOS®, a disaggregated, software-defined network operating system, and 1Finity?s high-speed optical interconnect technology to deliver intelligent traffic orchestration, secure connectivity, and end-to-end automation across distributed AI environments. This architecture is designed to help service providers evolve their networks beyond connectivity into programmable, distributed AI platforms capable of supporting next-generation AI services. FUJITSU-MONAKA is designed to deliver high-performance AI Inference and data processing with significantly improved power efficiency and built-in confidential computing capabilities, enabling strong hardware-rooted security and data sovereignty.
When paired with Arrcus? network operating system, the solution enables dynamic traffic steering, workload-aware routing, and end-to-end orchestration across distributed environments, all critical for Physical AI and real-time inference workloads. Together, Fujitsu, Arrcus, and 1Finity are aligning compute, networking, and optical transport into a unified architecture designed for distributed AI clouds, enabling service providers to evolve from connectivity providers to AI infrastructure platforms. The joint architecture is designed to support a broad range of use cases, including Physical AI such as smart factories, robotics, logistics automation, and healthcare systems requiring ultra-low latency decision-making, Enterprise AI workloads that require localized processing, sensitive data governance, and regulatory compliance, and Service provider-delivered AI services, enabling new revenue opportunities through distributed AI hosting and edge-based inference platforms. Arrcus and Fujitsu plan to showcase the collaboration concept at MWC Barcelona.
