EdgeUno and AtlasCloud have collaborated to deploy cutting-edge AI-Ready GPU cloud infrastructure in Latin America. This collaboration combines EdgeUno’s extensive network of over 50 data centers in 17 countries with AtlasCloud’s GPU-as-a-service offering powered by NVIDIA H100/H200 clusters.
The partnership is set to deliver ultra-low-latency processing, local data sovereignty, cost-effectiveness, and flexibility to meet the demands of AI workloads. Mehmet Akcin, CEO of EdgeUno, emphasized the importance of staying competitive in the AI landscape, stating, “By leveraging our network and data center infrastructure alongside AtlasCloud’s GPU capabilities, we are enabling enterprises to run high-performance AI workloads locally.”
The initial deployments are scheduled for key cities like São Paulo, Bogotá, Santiago, Buenos Aires, and Mexico City, with further expansion planned until 2027. The platform will support a wide range of AI applications, from machine learning model training to real-time video analytics and autonomous systems.
Businesses and government entities will benefit from immediate access to resources without delays or complex provisioning processes. This collaboration aims to drive AI innovation in sectors such as finance, telecommunications, healthcare, and gaming across Latin America.
Related
AI | AI infrastructure | AI/ML | AtlasCloud | EdgeUno | GPU | GPU cloud | IaaS | Latin America
