NEW CASTLE, DE — FS has introduced a 400-gigabit networking architecture aimed at cloud data centers facing increasing bandwidth demands from artificial intelligence workloads, cloud services, and cross-site data transfers, as operators seek to scale infrastructure while maintaining low latency and high availability.
The company said its new 400G High-Speed Interconnect Solution is built on a spine-leaf architecture designed for multi-site cloud environments. The platform is intended to address growing east-west traffic inside data centers, an area that has become increasingly important as AI applications and distributed computing environments generate larger volumes of internal network traffic.
FS said traditional 100G network architectures are becoming more constrained in large-scale cloud deployments that require rapid data synchronization, interconnection between facilities, and continuous service availability.
The architecture includes spine, leaf, border leaf, and data center interconnect gateway layers. According to the company, the design supports Layer 3 forwarding, high-speed server connectivity, VXLAN-based traffic transport, and connectivity between geographically distributed data centers.
To improve network resilience, the platform supports technologies including EVPN-VXLAN, Equal-Cost Multi-Path routing (ECMP), Bidirectional Forwarding Detection (BFD), and EVPN multihoming. FS said these capabilities are intended to provide active-active traffic forwarding, load balancing, and faster recovery from network failures.
The solution operates on FS’s PicOS network operating system and is managed through its AmpCon management software. The company said the software stack provides centralized management, network topology visibility, automated lifecycle operations, and standardized administration across multi-tier data center environments.
The launch comes as cloud operators and enterprises increasingly evaluate higher-capacity networking infrastructure to accommodate AI-driven computing demands and growing data volumes across distributed facilities.
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