Arrcus Inference Network Fabric (AINF) announces integration with NVIDIA Dynamo framework, NVIDIA BlueField DPUs and NVIDIA Spectrum networking

AINF powered by NVIDIA creates a secure, intelligent and policy-aware inference fabric spanning edge, data center and cloud environments. With this combined solution, operators like Lightstorm can deliver next-generation Physical and Agentic AI applications with lower latency, improved GPU utilization, enhanced power efficiency and reduced cost per inference.

As AI shifts from centralized training to globally distributed inference, infrastructure demands are changing rapidly. Agentic AI workflows increasingly chain dozens of inference calls across multiple models and tools to complete tasks. These workflows require intelligent model resolution, priority classification and policy enforcement at the moment a request enters the network. Real-time AI applications, ranging from robotics and autonomous systems to video analytics and agentic workflows require:

Ultra-low latency
Sovereign, geo-aware routing
Intelligent model selection
Efficient GPU utilization
Secure, multi-site connectivity

Traditional networking and load balancing approaches lack the policy awareness and dynamic routing required to support such requirements at global scale. With today’s announcement, Arrcus introduces tight integration between AINF and NVIDIA AI technologies to create a seamless inferencing fabric from edge to data center to cloud addressing the requirements above.

AINF acts as the central conductor for agentic AI, leveraging intelligent LLM classifiers running on NVIDIA AI infrastructure to determine the best-fit model and route requests to the optimal site and network path in real time.

This enables:

Lightweight, specialized models at the edge
Centralized execution for complex reasoning workloads
Differentiated routing for latency-sensitive applications like voice, video and gaming
Network slicing and traffic prioritization for service-level guarantees

AINF and NVIDIA Dynamo

AINF with NVIDIA Dynamo serves as the global routing layer for distributed inference, intelligently steering requests to the optimal site based on model availability, service tier, geofencing policies, site capacity and real-time network health. AINF works alongside the NVIDIA Dynamo framework, which handles site-local LLM load balancing, while the AINF router manages global inference routing across distributed environments.

NVIDIA Dynamo provides GPU telemetry such as queue depth, KV-cache pressure and replica health
AINF ingests these signals via its Site Agent into the AINF control plane
AINF computes model-aware routing decisions across sites

AINF determines which site should serve an inference request, while NVIDIA Dynamo determines which replica within that site responds, ensuring optimal utilization of compute resources across large-scale deployments.

AINF and NVIDIA BlueField and Spectrum

AINF also integrates with NVIDIA BlueField-3 DPUs to secure inference traffic across locations. NVIDIA BlueField-3 enables line-rate encryption at up to 400 Gb/s with zero CPU overhead, ensuring sovereign, multi-site inference traffic remains encrypted without impacting performance. Combined with NVIDIA Spectrum-4 Ethernet switches and GPU platforms, the Arrcus solution delivers an end-to-end inference fabric engineered for performance, efficiency and security.