Red Hat, the world’s leading provider of open source solutions, announced that Zero Latency (0.lat), a distributed AI inference network, has adopted Red Hat AI Factory with NVIDIA as the enterprise Kubernetes foundation for its U.S.-wide network. Built on Red Hat AI Factory with NVIDIA, Zero Latency’s neocloud solution aggregates, networks and dispatches AI inference from its decentralized edge datacenters into industrial centers. Its network, Zerogrid, is powered by scalable low-latency nodes of NVIDIA Blackwell GPUs.
As AI moves from research labs to real-world applications, latency, data gravity and burst constraints remain a primary barrier, especially for time-sensitive tasks like industrial automation or real-time transactions. Real-world applications often require millisecond-scale processing to meet safety demands, a need that centralized cloud architectures struggle to satisfy. Zero Latency helps address this “latency tax” through a distributed network of edge datacenters, providing a standardized, high-performance environment closer to where data originates.
With an inference backbone powered by Red Hat AI Enterprise, Zero Latency’s distributed inference network focuses on three core pillars:
- Global scalability: Reduces site-specific complexities by standardizing AI workloads across hundreds of edge sites, enabling one-click deployment and unified management.
- On-demand high-performance compute: Democratizes access to specialized hardware with on-demand NVIDIA Blackwell GPUs, allowing scalability without the prohibitive capital expenditure of private inference infrastructure.
- Enterprise-grade resilience: Builds on the time tested security capabilities and stability of Red Hat OpenShift AI (a component of Red Hat AI Enterprise) to provide a trusted, containerized environment designed for rigorous industrial IT standards and security protocols.
Red Hat AI Enterprise and Red Hat Advanced Cluster Management for Kubernetes provides Zero Latency with the enterprise containerization foundation for its distributed network. . This combination allows Zero Latency to manage GPU resources across multiple locations with a single, consistent workflow. The platform runs on Intel Xeon processors and NVIDIA Blackwell GPUs, providing the high-performance architecture required for intensive AI inference.
This collaboration represents a significant step in the growth of neoclouds, which provide specialized GPU services for the next generation of AI startups. Zero Latency is currently operational in its initial datacenters, with plans to expand its footprint to hundreds of locations worldwide.
Mr. Joe Fernandes, vice president and general manager, AI Business Unit, Red Hat said, “Zero Latency is changing how AI compute reaches the edge. By using Red Hat AI Enterprise to manage distributed infrastructure, Zero Latency highlights how hybrid cloud technologies scale innovation without the burden of extensive resource investment. We’re working with Zero Latency to help define the architecture for the future of low-latency AI applications.”
Mr. Michael Huerta, Cofounder, Zero Latency said, “We’ve believed for years that decentralized infrastructure beats centralized for the workloads that need it most. We proved that model in the power markets. AI inference is the next domain it belongs in: machine-driven, constraint-bound, and poorly served by the centralized cloud. Red Hat AI Enterprise gives us the containerization foundation to bring this architecture to enterprise customers, from the factory floor to the city street.”
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