Networking for AI/ML

ArcOS software-based AI-Networking Fabric

Arrcus’ innovative ACE-AI networking solution based on ArcOS delivers a modern, unified network fabric for optimizing GPU and other distributed compute resources with maximum performance for AI/ML workloads. Ethernet as the underlying technology is well suited to address the needs with its inherent benefits for scalability, reliability, flexibility and low latency and ACE-AI builds on Ethernet to seamlessly weave together the entire network infrastructure, spanning from the edge to core to multi-cloud, encompassing switching and routing. Communication Service Providers (CSP), Enterprises and Datacenter operators can now harness the potential of 5G and GenAI by pooling compute resources wherever they may reside across the network to drive business outcomes.

Datacenter networking: IP-CLOS (deep and shallow buffer) and Virtual Distributed Router

ACE-AI enables traditional IP CLOS and Virtual Distributed Router (VDR) architectures in next-generation datacenters to deliver massive scale and performance for lossless, predictable connectivity to GPU clusters.

5G Network Slicing

Next-generation distributed networks must integrate 5G connectivity to meet the demands of AI/ML applications. Arrcus’ ACE-AI solution simplifies, streamlines, and automates network slicing for edge delivery of GenAI applications, leveraging 5G innovations such as SRv6 MUP.

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