EdgeUno delivers IP Transit, Bare Metal和 云 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? 联系EdgeUno专家.
Nationwide Coverage, Unified Platform
在所有五个美国地点，EdgeUno提供：
- 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
- 适用于现代、可扩展工作负载的云服务
- 边缘安全，包括DDoS缓解和流量监控
所有四种服务均在一个统一平台运行。无论您的用户身处何地，您都能获得完全的控制和可见性。
AI的采用正在推动整个行业的数据中心电力需求上升。而 国际能源署预测 到2030年，数据中心消耗的电力将达到约945 terawatt-hours。这比2024年的用量翻了一倍多。因此，高效的数据中心运营成为您选择服务提供商时必须考虑的关键因素。
当前存在哪些类型的数据中心？
数据中心简单来说：它是存储、处理和传输数据的物理基础设施。市面上有几种常见的数据中心类型，了解这些类型有助于您为正在进行数字化转型的企业和其他科技公司选择合适的方案。
- 传统数据中心。 这是一种公司自建的数据中心，由公司内部完全拥有和运营，包括网络设备、数据存储系统和冷却系统。
- 超大规模数据中心。 能够容纳数千到数百万台服务器的大型数据中心设施。这是全球最大的数据中心之一，科技巨头如Amazon和Google利用它们来运行自有云数据中心。 hyperscale data center market 从2022年的$35.72 billion增长到2023年的$41.69 billion，复合年增长率（CAGR）为16.7 percent。
- 托管数据中心。 托管数据中心在一个屋檐下为多个组织提供IT基础设施的承载。通过托管设施，企业无需自建，只需租赁机架空间，从而降低了资本支出并提高了可扩展性。这也是EdgeUno采用的模式。
- 边缘数据中心。 部署在离终端用户较近的较小型区域设施，用于降低延迟。该 edge data center market 在2022年价值$9.36 billion，预计到2030年将达到$34.91 billion，复合年增长率（CAGR）为17.9 percent。
- 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 AI Connectivity 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? 联系EdgeUno专家 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.
数据中心行业也正转向托管服务数据中心，在这种模式下，服务提供商负责日常运营，而不仅仅是提供空间和电力。这一转变使贵公司能够完全跳过数据中心建设所需的时间和成本。
从远程监控到自动化冷却等新型数据中心技术，使得这一转型成为可能。对于许多企业而言，像 EdgeUno 这样的数据中心托管服务，是无需自建就能最快获取这些技术的途径。
深入了解我们的美国中心
- Miami (MIA1): 这是通往拉丁美洲的门户，提供全栈服务。非常适合正在扩展到 LATAM 或提供跨大陆流量服务的公司。
- New York (JFK1): 位于 60 Hudson。专为需要顶级性能的高频交易、金融和企业级应用而构建。
- Dallas (DAL1): 地理位置中心，具备全国覆盖和冗余能力。非常适合边缘部署和延迟优化。
- Los Angeles (LAX1): 与亚太地区直连。专为服务跨海岸甚至更远地区受众的企业而构建。
- 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.
EdgeUno优势
🌐 全球互联，区域优化
🔒 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 IP Transit Provider, or building AI-ready infrastructure, EdgeUno provides the speed, security, and resilience you need.
准备好自信扩展了吗？
Your infrastructure deserves more than a data center. It needs a strategic partner. 联系EdgeUno and find out how our U.S. footprint can power your next move.
