The company worked with UfiSpace to offer carrier-grade, AI-optimized networking solutions across service provider, data center, edge, and cloud environments. Distributed AI workloads extend to metro, core, and edge networks, going beyond the centralized data center. It includes the integration of Arrcus ArcOS with UfiSpace hardware platforms to enable the execution of scalable AI workloads.
Operators focus on throughput, security, and operational efficiency while maintaining service continuity for millions of global subscribers. UfiSpace platforms support routing and switching hardware designed for 400G and 800G fabrics. These platforms can also be used to create high-density GPU connections across networks. All these platforms create the advantages of AI network deployment and performance.
“Service providers are integrating AI into networks that must remain available, predictable, and globally consistent,” said Shekar Ayyar, Chairman and CEO of Arrcus. “Our collaboration with UfiSpace brings together carrier-grade platforms and a modern, software-driven network operating system designed to scale AI workloads without compromising reliability.”
AI Network Deployment and Performance Advantages
The advantages include the creation of AI cluster interconnects, data center interconnects, and secure AI transport across the world. Engineers also create multi-terabit routing to aggregate 400G and 800G links. Additionally, they develop high-density switching silicon to build scale-up and scale-out architectures. The architectures include 512-XPU scale-up and 100000+ XPU scale-out networks. Latency reaches 250 nanoseconds, enabling Scale-up Ethernet GPU-to-GPU communication. Single-chip routing replaces legacy chassis systems. These platforms deliver MPLS, SRv6, QoS and hierarchical traffic management.
“AI workloads are driving unprecedented demands on network capacity, security, and efficiency across both service provider and data center environments,” said Vincent Ho, Chairman and CEO at UfiSpace. “Our next-generation routing and switching platforms, combined with Arrcus ArcOS, give operators a scalable, energy-efficient foundation to support distributed AI traffic, secure transport, and new high-value services while maintaining carrier-grade reliability.”
These solutions deliver scalable, energy-efficient infrastructure for high-value AI services while maintaining carrier-grade reliability.
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Source: Businesswire
