Arrcus and UfiSpace Partner to Deliver AI-Optimized Networking Solutions for Scalable AI Infrastructure

Arrcus, a leader in hyperscale networking software, and UfiSpace, a provider of open disaggregated networking hardware, have announced a strategic partnership to deliver integrated, high-performance networking solutions tailored for the demands of AI-driven applications and services.
This collaboration aims to address the growing needs of enterprises and service providers for scalable, cost-effective, and optimized network infrastructure to support distributed AI workloads.
Meeting the Demands of AI Infrastructure
With AI applications, ranging from inferencing at the edge to hyperscale data center training of large models, consistently creating unprecedented demands on network infrastructure, firms are seeking solutions offering extreme scale and low latency.
The collaboration between Arrcus and UfiSpace is intended to address these requirements by integrating the ACE-AI platform of Arrcus with UfiSpace's open hardware suite, driven by Broadcom's latest merchant silicon, such as Tomahawk 5, Trident 4, and Jericho 3-AI chipsets.
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Key Features of the Joint Solution:
Arrcus’ ACE-AI platform optimizes AI infrastructure with low-latency edge inferencing, high-throughput data pipelines, and scalable training clusters. It supports multitenant AI fabrics, dynamic routing, and lossless Ethernet with real-time telemetry.
Paired with the ArcIQ analytics platform, it ensures end-to-end visibility and automation from edge to core.
Vincent Ho, CEO of UfiSpace, said, "UfiSpace is committed to enabling the next generation of open, scalable infrastructure.”
He added, "By working closely with Arrcus, we’re delivering AI-optimized solutions that empower cloud providers, enterprises, and telecoms to deploy intelligent networking fabrics tailored to AI workloads.”
The joint venture of Arrcus and UfiSpace represents a vision of disaggregated, cloud-native networking with agility, security, and high-performance solutions for AI workloads.