Nexaryon has expanded into Mexico as the cornerstone of its Latin American growth strategy while launching an enterprise AI computing infrastructure platform for businesses developing and deploying artificial intelligence applications.
The company said Mexico would serve as a regional operational hub supporting data centre infrastructure and supply chain coordination across the Americas.
The cloud-based platform provides GPU computing resources dedicated AI clusters and AI Factory deployments following more than five years of research development and operational use. Customers can configure on-demand GPU capacity for model training inference and multimodal generation without major upfront hardware investments.
Organisations needing sustained performance can deploy dedicated clusters with managed GPU servers high-speed networking parallel file systems round-the-clock SRE operations and runtime monitoring.
Nexaryon said the platform supports H100 H200 B200 GB200 GB300 Blackwell and Rubin hardware ecosystems delivering high-capacity HBM memory terabyte-per-second bandwidth and fast GPU interconnects for large-model training long-context inference and high-concurrency AI workloads.
The integrated AI Factory model combines dense GPU computing AI-optimised storage advanced cooling Kubernetes Slurm and managed services to accelerate production deployments.
Nexaryon is also pursuing partnerships with regional hardware manufacturers data centre operators and energy providers while continuing to enhance job scheduling security isolation and hardware validation.
The company said its engineering team includes specialists from Stanford University and experts in AI cloud computing distributed systems high-performance computing and enterprise infrastructure.
The expansion aims to strengthen enterprise AI adoption across finance healthcare autonomous driving industrial visual inspection and other data-intensive sectors requiring reliable scalable secure computing infrastructure.
