Most of Latin America’s internet still rides on cables laid when the region was on dial-up. I’m not exaggerating. SAm-1, SAC, PAC, GlobeNet, Americas-II, Maya-1, ARCOS-1. Line up their ready-for-service dates and they all fall between late 1999 and 2001. Subsea cables are engineered for a minimum design life of 25 years. Do the math….
If your content has an audience in Latin America, the last 5,000 kilometres of your delivery chain will decide whether it plays. IBC is where the industry talks about content: production, AI, cloud workflows, new formats. Very little of the conversation on the floor at RAI Amsterdam is about what happens after a stream leaves…
The projects, markets, power constraints and network infrastructure behind the next AI buildout in the U.S. and Latin America The United States is experiencing one of the largest infrastructure buildouts of our generation. It is easy to describe this simply as a data center boom. I think that understates what is happening. AI is forcing…
Edge data centers are beginnging to shape Latin America’s digital backbone. And for a good reason. They reduce network latency, support real-time applications, and help enterprises manage data-intensive workloads without overloading central infrastructure. According to Grand View Research, the global data center market is projected to grow at a CAGR of approximately 10–11% annually through…
Most enterprises expanding into Latin America treat AI infrastructure the same way they treat every other regional deployment. But while most approaches might work for SaaS applications, they don’t always work for AI. The gap between what your artificial intelligence servers can do and what users in LATAM actually experience could be because of problems…
World Engineering Day is a good excuse to say the quiet part out loud: AI isn’t “just software.” If your model is smart but your network is slow, users don’t experience intelligence—they experience waiting. AI’s real bottleneck: connectivity Most AI systems fail operationally for boring reasons: latency, jitter, packet loss, congested routes, or unpredictable paths…
AI connectivity is the glue between your model and everything it needs to make a decision: streaming inputs, feature stores, vector databases, GPUs at the edge or in the cloud, and the downstream apps that act on predictions. It’s where latency creeps in, where failures cascade, and where security and compliance are either enforced or…
Data center network architecture determines throughput under real load because it controls hop count, congestion behavior, and failover—not just port speed. This guide compares spine–leaf, three-tier, and Clos/fabric designs and shows what to validate before you scale: oversubscription ratios, ECMP balance, queueing and drops, and upstream path diversity. In modern data centers, performance depends on…
Why BMaaS exists (and Who It’s For) Deliver predictable performance, single-tenant isolation, low-latency control, and eliminate noisy-neighbor risks—all without managing physical hardware. Bare Metal as a Service (BMaaS) provides direct access to physical servers with cloud-style provisioning and lifecycle support. It’s designed for workloads that can’t tolerate variability, need strong isolation, or require hardware-adjacent performance…
Latin America’s digital connectivity is rapidly expanding, enabling a new era of cloud, AI, and edge computing. As investments in fiber optics and 5G accelerate, the region is poised for a total digital transformation by 2026. From Mexico to Brazil, high-speed access is enabling innovation and economic growth on an unprecedented scale. The Infrastructure Boom:…
