Imagine waiting minutes for a simple banking transaction or being unable to attend a virtual class because your internet connection routes through another continent. This is the reality for millions of Latin Americans. Despite having coverage, one reason they are unable to fully utilize modern digital services is that their data traffic is processed across multiple continents. In a centralized model, activities like video calls, banking transactions, and virtual classes are forced to backhaul to distant data centers in the United States. Those chokepoint architectures—and the human workflows that orchestrate them—become the obstacle that actually prevents useful digital access.
In a native decentralized infrastructure, on the other hand, the same connectivity need is resolved where traffic lands: at distributed nodes closer to the end user. That architectural difference changes response times from minutes to seconds, reduces latency for legitimate users, and eliminates entire classes of operational dependencies.
Your centralized connectivity architecture is sabotaging your digital access. While you invest millions in backbones and distant data centers to “connect” your users, you could be creating exactly the failure points that keep them disconnected from useful services.
This article delves into the transformative potential of decentralized infrastructure in addressing Latin America’s digital divide. By exploring the operational, economic, and social advantages of distributed architectures, we aim to highlight how this paradigm shift can overcome the limitations of centralized models. We will unpack the data, examine real-world applications, and outline the steps needed to turn this vision into reality.
Operational Data: The Performance Gap Between Models in Latin America
The performance difference between centralized and decentralized infrastructure-native architectures becomes clear when examining real-world operational data. In Latin America, around 75-80% of the population has some type of internet connection1, but that figure is misleading. A large part of connected people browse with low speeds, high latencies, and unreliable services.
Coverage ≠ useful connectivity. Although the 4G network reaches more than 90% of the population, the usage gap remains large. Users may suffer 100+ milliseconds of added latency just to reach overloaded scrubbing centers. Meanwhile, platforms operating decentralized infrastructure serve content in less than 30 milliseconds across major regions when traffic is served directly from distributed points of presence—fast enough for your users to notice the difference and remember it.
Consequence: millions of people are “connected” but can’t use modern services—online education, telemedicine, e-commerce, gaming, video—because the experience is slow, unstable, and expensive. Closing the gap is no longer just about reaching areas with no signal, but improving the quality, reliability, and cost of existing access.
How Decentralized Infrastructure Reduces Latency in Brazil, Mexico, Chile, and Peru.
It’s important to clarify something: distributed computing doesn’t solve end-user connectivity by itself. For a person to use digital services, they need a fast and stable connection, and that’s where technologies like 5G are essential for the first mile. But it’s useless to have 5G if the application the user accesses is hosted in a data center in Virginia, U.S., and every interaction has to cross a hemisphere.
Decentralized infrastructure emerges as a natural complement: bringing computation and data closer to where applications are consumed.
1. Latency and User Experience
Many mobile applications, online games, and streaming platforms still depend on distant data centers in the U.S. or Europe. That model adds between 80 and 150 ms round-trip, degrading video calls, gaming, financial trading, and telemedicine.
With decentralized infrastructure—processing and caching in local distributed nodes—latencies are reduced to less than 30 ms, making existing connectivity actually useful for modern services.
2. Cost Optimization and Use of Existing Infrastructure
Replicating mega Tier III/IV data centers in all countries is slow and expensive. Distributed architecture allows modular growth with data centers, POPs, or Edge Locations, in networks already deployed by ISPs and mobile operators.
It also reduces international traffic: less backhaul means lower transit costs and more competitive final prices.
3. Resilience and Local Compliance
Distributing nodes increases resilience against backbone failures and power outages. It facilitates compliance with data sovereignty and privacy laws, gaining strength in the region (Brazil, Mexico, Chile, Peru).
Additionally, modern decentralized infrastructure platforms include automated security and orchestration, simplifying the operation of thousands of points.
A contextualized example: Imagine an SME in Lima wants to offer an interactive video application for local clients. If the backend is in a data center in Virginia, U.S., every interaction suffers high latency and international transit costs. With decentralized infrastructure, a node can be placed near Lima to deliver that application with response times comparable to large data centers—something key for 5G and fiber to truly transform user experience.
The Role of IX.br, PIT Chile, Peru-IX, and CABASE in Local Peering
When we talk about closing the digital gap and making decentralized infrastructure deployment possible in Latin America, we first need to understand how our telecommunications ecosystem works.
The vast majority of operators are private companies—América Móvil, Telefónica, Millicom, TIM, Entel, and others—but they operate under a highly regulated framework. National agencies, such as ANATEL in Brazil, OSIPTEL in Peru, IFT in Mexico, or SUBTEL in Chile, define spectrum, minimum service quality, and coverage obligations.
We believe the State’s first role is not to compete with the private sector, but to create conditions. This collaborative approach recognizes that no single actor can bridge the digital divide alone—it requires coordinated effort, shared risk, and a long-term commitment to ensuring that connectivity becomes fundamental.
Government Digitalization as a Lever
And here’s a powerful lever: digitalization of government itself. When the State puts health, education, justice, and critical procedures online, it generates predictable traffic volume and creates the urgency to improve connectivity.
We saw this in Chile, where digital government and online health portals pushed investment in local data centers. In Colombia, initiatives like Gov.co and educational platforms forced improvements in backbones and local content presence. Outside the region, Estonia is the extreme example: its digital government advanced electronic identity, online services, and open data, generating demand that justified a dense network and distributed centers.
IXPs and Local Peering Ecosystem
Then there are IXPs—traffic exchange points. A strong IXP prevents local traffic from “hairpinning” to the United States or Europe, reducing latency and costs. Today, although we have good cases like IX.br in Brazil, CABASE in Argentina, PIT Chile in Santiago, or PERU-IX, there are still regions where peering is weak and a good part of local traffic ends up traveling thousands of kilometers.
Creating and strengthening IXPs doesn’t mean the government has to operate them, but it can facilitate their creation, offer initial support, and ensure they are neutral and open. They normally work better as non-profit associations, where ISPs, CDNs, and large content generators participate.
Structured Public-Private Partnerships
Public-private partnerships (PPPs) are a proven instrument for complex infrastructure. In other sectors they have already worked: many mass transit systems in the region—metros, BRT—are the result of well-designed concessions.
In telecommunications and decentralized infrastructure, we could replicate: governments provide space in public buildings, towers, and state fiber networks; offer tax incentives for nodes in non-profitable areas; and act as anchor clients with their digital services.
Evolution Toward Distributed Intelligence
To understand where we’re going, it’s worth looking at where we came from.
First came CDNs: their mission was clear and direct—deliver fast and reliable content close to the user, reducing latency and international transit costs. Thanks to them, today we can watch live and on-demand video without interruptions, even in regions where it was previously unfeasible.
Then we evolved to distributed computing: it was no longer just about delivering content, but executing applications and processing data as close as possible to those who consume them. This enabled faster web applications, serverless architectures, local data compliance, and digital experiences that previously depended on a distant data center.
And now we’re living the great disruption of this decade: generative Artificial Intelligence.
For years, AI focused mainly on training models and recognizing patterns through machine learning—image classification, predictions, recommendations—with a very technical approach limited to research environments and laboratories.
Today, with much more powerful models—LLM (Large Language Models) and VLM (Vision Language Models)—companies want intelligent applications, conversational interfaces in human language, and real-time data analysis.
Decentralized infrastructure with distributed AI capabilities enables:
- Reducing latency for virtual assistants and bots that need to respond instantly
- Keeping sensitive data locally to comply with regulations and protect privacy
- Optimizing costs: it’s not viable to send every AI interaction to another continent every time a customer asks a question or needs a calculation
With AI processing in distributed nodes, those inferences are processed in the data center closest to the user, with millisecond response times and without exposing critical information outside the country.
Conclusion
Latin America has made remarkable strides in expanding internet coverage, but millions still struggle with poor speeds, high latency, and unreliable access. The problem is not just reaching unconnected areas—it’s making existing connectivity truly useful.
Decentralized infrastructure offers a transformative path forward: processing data closer to users, improving response times, strengthening resilience, lowering costs, and ensuring compliance with local regulations. This shift can unlock real digital inclusion, making services like education, healthcare, commerce, and AI-powered applications accessible to everyone.
Yet technology alone is not enough. Progress depends on supportive regulation, robust public-private partnerships, stronger local peering ecosystems, and governments leading by example through digitalization of public services.
The imperative is clear: to ensure digital technologies advance inclusive growth, stakeholders must accelerate the transition to decentralized architectures that democratize access, reduce inequalities, and create meaningful digital experiences.
The time to act decisively is now — bridging Latin America’s digital divide will not only empower millions but unlock the region’s potential for innovation, productivity, and prosperity in the digital era.
References
- INTERNET ACCESS AND USE IN LATIN AMERICA AND THE CARIBBEAN - FROM THE LAC HIGH FREQUENCY PHONE SURVEYS 2021. World Bank Group. 2022. https://www.undp.org/sites/g/files/zskgke326/files/2022-09/undp-rblac-Digital-EN.pdf
