Network operating system and routing fabric for AI and datacenter infrastructure
Arrcus builds high-performance routing and switching infrastructure via ArcOS, a network operating system designed to replace monolithic vendor solutions. The tech stack—C++, Go, DPDK, BGP, EVPN, VXLAN, SRv6—reflects a systems-level approach to datacenter and edge networking. Hiring is concentrated entirely in engineering (5 roles, all senior/principal/lead level), with active work on ASIC bring-up and data path scaling, suggesting the company is transitioning from software-first development toward hardware-software integration.
Arrcus provides routing and switching solutions for datacenter, core, and edge environments, positioned as an alternative to traditional closed networking systems. The ACE platform runs on ArcOS and targets infrastructure teams seeking agile, scalable alternatives. Recently the company launched AINF (Arrcus Inference Network Fabric), a policy-driven ethernet fabric designed specifically for AI workloads—handling both training (high-bandwidth data synchronization) and inference (token-latency optimization). The company operates across the United States and India.
Arrcus uses C++, Go, and Python for core development, with DPDK for packet processing, Kubernetes for orchestration, and standard networking protocols including BGP, EVPN, VXLAN, and SRv6. Infrastructure tooling includes etcd, Consul, Redis, and Broadcom SDK.
Current focus areas include ASIC bring-up for networking hardware, L2/L3 data path solutions, QoS feature implementation, high-availability infrastructure, and performance/scale improvements across existing products.
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Arrcus, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.