EdgeUno delivers IP Transit, Bare Metal, y Cloud services through edge data centers in five U.S. cities. These data center services cover connectivity, compute, and edge security in one place.
Our hubs sit in Miami, New York, Dallas, Los Angeles, and Ashburn. These are some of the most critical internet hubs in the United States. Data centers play a central role in how fast and reliably your users can reach you, and location decides much of that.
Whether you’re expanding regionally, entering Latin America, or optimizing global delivery, EdgeUno gives you the data center infrastructure to scale securely and efficiently.
Need help planning your deployment? Hable con un especialista de EdgeUno.
Nationwide Coverage, Unified Platform
En todas las cinco ubicaciones de EE. UU., EdgeUno proporciona:
- IP Transit with ultra-low latency and direct access to AS7195, the most connected Latin American IP network
- Bare Metal servers on demand, built for performance and flexibility
- Cloud services for modern, scalable workloads
- Edge security, including DDoS mitigation and traffic monitoring
All four run on one unified platform. You get full control and visibility, no matter where your users are.
AI adoption is pushing data center electricity demand higher across the industry. The International Energy Agency projects that data centers will use around 945 terawatt-hours of electricity by 2030. That’s more than double their 2024 usage. That makes efficient data center operations a real factor when you choose a provider.
What Types of Data Centers Exist Today?
Data centers explained simply: they are the physical infrastructure that stores, processes, and moves data. There are several common data center types, and knowing them helps you pick the right data center options for enterprises and other tech companies going through digital transformation.
- Traditional data centers. This is a company-run data center owned and operated entirely in-house, including networking equipment, data storage systems, and cooling systems.
- Centros de datos de hiperescala. Instalaciones grandes de centros de datos que pueden albergar desde miles hasta millones de servidores. Son algunos de los centros de datos más grandes del mundo, y empresas tecnológicas como Amazon y Google los operan para ejecutar sus propios centros de datos en la nube. El mercado de centros de datos de hiperescala creció de $35.72 mil millones en 2022 a $41.69 mil millones en 2023, con una CAGR del 16.7 por ciento.
- Centros de datos de colocación. Un centro de datos de colocación aloja la infraestructura de TI de múltiples organizaciones bajo un mismo techo. Las instalaciones de colocación permiten a las empresas alquilar espacio en racks en lugar de construir el propio, lo que reduce el gasto de capital y añade escalabilidad. Este es el modelo que utiliza EdgeUno.
- Centros de datos de borde. Instalaciones más pequeñas y regionales ubicadas cerca de los usuarios finales para reducir la latencia. El mercado de centros de datos de borde valía $9.36 mil millones en 2022 y se proyecta que alcance $34.91 mil millones para 2030, con una CAGR del 17.9 por ciento.
- Modular data centers. Portable data centers, often built into shipping containers with their own cooling systems and power supplies. They can deploy quickly in remote locations.
Other data centers, like government or research facilities, exist too, but these four cover most of the commercial data center landscape. The key components across all of them are the same: power, cooling, networking equipment, and physical space.
How Are AI Data Centers Different?
Artificial intelligence and machine learning need more than a standard setup. There are two main types of AI data centers, split by function: training and inference.
AI training data centers ingest petabytes of data to build large models. They need vast GPU clusters, high-throughput storage systems, and low-latency networking like InfiniBand. This heavy data processing is one reason powering AI data centers takes so much more energy than a standard facility.
Power use per rack can run from 60 kW to over 140 kW, according to industry rack-density benchmarks. That is far more than a conventional data center needs. Because of this, training facilities often sit in remote areas with cheaper power.
AI inference data centers run trained models for live use, like chatbots or recommendation tools. These workloads care more about low latency than raw power, so the facilities sit closer to end users. Power use stays lower too, typically 10 kW to 30 kW per rack.
An AI-ready data center needs both strong power and cooling systems and fast networking. EdgeUno’s Conectividad AI solutions are built for the inference side of that equation. Latency-sensitive inference and AI workloads benefit most from infrastructure placed near the people using it.
Not sure which AI data center setup fits your workload? Hable con un especialista de EdgeUno about training versus inference needs.
How Do Data Center Operators Measure Efficiency?
Data centers important to daily business operations need real oversight, which is why smart data center design matters so much. Operators track how well their facilities run using real metrics, not guesswork.
One common metric is power usage effectiveness, or PUE. It compares total facility power to the power that actually reaches computing equipment. A lower PUE means better energy efficiency.
Good data center management also depends on the network layer. Many operators now use software-defined networking, one of several data center components alongside servers, racks, and cooling systems, to manage traffic without manually reconfiguring hardware. This makes data center capacity easier to expand as demand grows.
The data center industry is also shifting toward managed services data centers, where the provider handles day-to-day operations, not just space and power. That shift lets enterprises skip the cost and time of data center construction altogether.
Newer data center technology, from remote monitoring to automated cooling, makes this shift possible. For many enterprises, data centers colocation like EdgeUno’s is simply the fastest way to access that technology without building it in-house.
Un vistazo más cerca a los Centros de EE. UU.
- Miami (MIA1): A gateway to Latin America with full-stack service availability. Good for companies expanding into LATAM or serving cross-continental traffic.
- New York (JFK1): Located at 60 Hudson. Built for high-frequency, financial, and enterprise applications that need top-tier performance.
- Dallas (DAL1): Centrally located for nationwide reach and redundancy. Well suited for edge deployments and latency optimization.
- Los Angeles (LAX1): Direct peering to Asia-Pacific. Built for businesses reaching audiences across coasts and beyond.
- Ashburn (IAD1): Sits in the world’s largest concentration of data centers, giving you strong interconnectivity.
Each hub is a carrier-neutral colocation data center, built to Tier III and Tier IV standards, the two most common data center tiers for commercial use. You are never locked into one upstream network. Every site includes access control systems and other physical security measures to protect enterprise data center customers and their sensitive data.
For companies weighing data center providers, data residency also matters. Data protection regulations across Latin America and the U.S. often require sensitive data to stay within specific borders. EdgeUno’s mix of U.S. hubs and 50+ Latin American facilities gives enterprises scalable data center solutions that keep data close to the rules that govern it.
Not sure which hub fits your traffic? Contact an EdgeUno specialist to map it out.
LA VENTAJA EDGEUNO
🌐 Conectado globalmente, optimizado regionalmente
🔒 Security-first design with integrated DDoS mitigation
🧠 Expert support in English, Spanish, and Portuguese
🔧 Scalable deployments with Cloud and Bare Metal flexibility
Data center architecture and data center space needs vary by workload. A company running enterprise resource planning software has different computing resource needs than one running an AI inference pipeline, and both can be hosted through EdgeUno’s colocation and cloud data centers.
EdgeUno’s Cloud Connect service links directly to major cloud service providers, including AWS, Google Cloud Platform, Microsoft Azure, and Oracle Cloud. That gives you private, low-latency data center communications between your colocated equipment and the public cloud, without routing traffic over the open internet.
As demand grows for AI and data-heavy applications, modern data center expansion is accelerating across the industry, and how much electricity data centers consume is rising with it. Good data management starts with picking infrastructure built to handle that growth.
Demand for this kind of infrastructure keeps growing. MarketsandMarkets projects the global edge data center market will grow from $50.86 billion in 2025 to $109.20 billion by 2030. AI, IoT, and real-time applications are the biggest drivers behind that growth.
Whether you’re launching a new product, evaluating an Proveedor de IP transit, or building AI-ready infrastructure, EdgeUno provides the speed, security, and resilience you need.
¿Listo para escalar con confianza?
Your infrastructure deserves more than a data center. It needs a strategic partner. Contactar a EdgeUno and find out how our U.S. footprint can power your next move.
