Strategic partnership enables high-performance connectivity for distributed AI inference and training workloads
Arrcus, the leader in distributed networking infrastructure announced and Lightstorm, Asia-Pacific’s leading digital infrastructure and connectivity provider, announced a strategic partnership to deliver purpose-built networking solutions for distributed AI inference and training workloads.
“Our partnership with Lightstorm enables AI operators across Asia-Pacific to optimize network performance and improve infrastructure efficiency,” said Shekar Ayyar, Chairman & CEO, Arrcus.
Designed for AI cloud providers, enterprises, and infrastructure operators, the partnership combines Arrcus’ intelligent routing capabilities with Lightstorm’s Polarin NaaS platform to deliver automated, policy-driven connectivity optimized for AI workloads across geographically distributed data centers.
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Amajit Gupta, Group CEO & MD, Lightstorm, said, “AI infrastructure requires the network to behave like part of the compute fabric. By integrating Arrcus’ routing intelligence with our Polarin NaaS platform, we’re enabling inference and training workloads to scale across Asia-Pacific without compromising performance or compliance with data sovereignty requirements.”
The integrated solution addresses critical AI infrastructure challenges including latency consistency for real-time inference, deterministic bandwidth for distributed training, and programmable provisioning that reduces deployment complexity. Through API-driven orchestration, customers can dynamically provision AI connectivity based on workload requirements and business policies.
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Shekar Ayyar, Chairman & CEO, Arrcus, added, “Distributed AI workloads—from real-time inference to large-scale training—demand intelligent, programmable networking. Our partnership with Lightstorm enables AI operators across Asia-Pacific to optimize network performance and improve infrastructure efficiency.”
The joint solution is designed to improve inference response times, accelerate model training completion, simplify multi-site cluster expansion, and reduce total cost of ownership through improved infrastructure utilization. With Asia-Pacific emerging as a critical region for AI infrastructure investment, the partnership positions both companies to serve the region’s growing demand for AI-ready connectivity.
