AI Connectivity
High-speed, low-latency connectivity for your AI models and critical integrations. Power your projects with reliable connectivity built for massive data flows and
distributed training.
Deliver High Speed
Get Ultra Low Latency
A highly resilient network backbone
Why AI Connectivity?
Optimized for AI at scale
AI workloads demand high throughput, low latency, and broad regional reach. EdgeUno’s connectivity infrastructure is built to deliver exactly that.
Plug-and-play to any model or platform
Whether you're deploying on cloud, local models or hybrid AI stacks, you need your model, data sources and network to talk fast and reliably. AI Connectivity makes sure your network isn’t the bottleneck.
Build once, scale globally
Deploy your AI models today in one region, and scale seamlessly to multiple geographies — without worrying that network grunt is going to slow you down as you expand.
Service Features
See how EdgeUno’s AI Connectivity keeps models and data moving fast and securely
Massive Carrier-Grade Network Backbone
Ultra-Low Latency for Real-Time AI
Secure & Controlled Pathways
Seamless Integration with AI Platform Stack
End-to-End Connectivity and Visibility You Can Trust
Take control of the links powering your AI—from peering and routing to dedicated paths—with real-time latency monitoring and clear performance insights. Everything runs over EdgeUno’s AS7195, the most connected IP network in Latin America, giving you direct, resilient reach across the region and beyond.
Who Should Use AI Connectivity?
This service is a great fit if you:
Run AI‑driven applications where performance, latency, and scale are critical (e.g., real‑time chat, retrieval systems, large‑scale inference).
Plan to deploy models regionally or globally—especially in Latin America—and want a network partner that can deliver consistent connectivity across geographies
Have strict data governance, compliance, or security requirements and prefer controlled, private connectivity instead of relying on the public internet.
Expect to scale AI deployments quickly and need a network foundation that can keep up.
Frequently Asked Questions
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