EdgeUno and AtlasCloud launch GPU push to accelerate Latin America’s AI buildout
EdgeUno, a provider of Infrastructure as a Service (IaaS) in Latin America and AtlasCloud have announced a partnership to deploy AI-Ready GPU cloud infrastructure throughout Latin America.
The partnership brings together EdgeUno’s strong regional footprint with more than 50 data centers across 17 countries along with AtlasCloud’s GPU-as-a-service offering built on NVIDIA H100/H200 clusters.
The collaboration is called to deliver an ultra-low-latency processing, local data sovereignty, reduced costs and agility to AI workload requirements.
“As AI becomes the backbone of modern business, Latin America can’t afford to trail behind,” says Mehmet Akcin, CEO of EdgeUno. “By combining our network and data-center footprint with AtlasCloud‘s GPU capabilities, we’re giving enterprises the ability to run world-class AI workloads locally with the performance they expect and the infrastructure they need.”
The first deployments are scheduled for São Paulo, Bogotá, Santiago, Buenos Aires and Mexico City and network rollout is projected to stretch through 2027. Everything from LLM training and generative AI to real-time video analytics and autonomous systems will run on the platform.
Businesses and governments alike will be able to draw on resources immediately without cross-border lag or lengthy provisioning.
Through the collaboration, the companies want to deliver AI innovation in industries such as finance, telecoms, healthcare and gaming across Latin America.
Harbor Solutions and Zadara unveil multi-tenant AI cloud built for sovereign workloads
Article Topics
AI | AI infrastructure | AI/ML | AtlasCloud | EdgeUno | GPU | GPU cloud | IaaS | Latin America
Comments