Selecting the right location for a data center is a high-stakes puzzle. It demands a meticulous evaluation of power availability, environmental factors, permitting constraints, and land use. However, a critical piece is often missing from the picture: fiber data.

Just as solar developers rely on precise transmission data to optimize their sites, for data center professionals availability of high-capacity fiber networks is a critical factor in site selection

But why is fiber data a non-negotiable factor for successful data center site selection? Read on as we’ll explore the reasons why developers should leverage advanced tools and diverse data sources to make data-driven decisions about fiber networks, connectivity, and proximity to existing infrastructure.

What is fiber data, and why does it matter?

Fiber data refers to information about the availability, capacity, ownership, latency, and proximity to potential data center sites. These cables, made of thin strands of glass or plastic, transmit data as pulses of light, enabling high-speed internet and network connectivity. 

Solar developers assess grid interconnection points to reduce energy waste and maximize efficiency. The process is equivalent for data centers: they need access to robust, high-capacity fiber infrastructure, which is essential for efficient operation, enabling seamless connectivity, and supporting demanding applications.

Prioritizing locations with robust fiber connectivity accelerates deployment, minimizes costs, and ensures greater reliability. However, ignoring fiber data during site selection risks costly delays, inflated budgets, and long-term operational inefficiencies.

Data center servers with bright yellow fiber optic cables.

How does fiber data help data center siting?

Strategic site selection is more crucial than ever and fiber data plays a pivotal role in ensuring that data centers are not only optimally located but also equipped to meet future demands. These key factors showcase how fiber data enables data center site selection:

  1. Using advanced site selection tools: robust site selection platforms offer comprehensive datasets on fiber infrastructure, allowing developers to assess proximity to high-capacity networks and evaluate potential connectivity solutions alongside other key factors such as power availability and environmental constraints.
  2. Evaluating fiber network providers: identifying key providers and their network maps helps developers assess the feasibility of connectivity solutions and potential redundancy options.
  3. Assessing proximity to existing fiber routes: the closer a site is to high-capacity fiber routes, the lower the cost and complexity of connectivity. Long-haul fiber versus metro fiber options should be analyzed based on network performance and cost considerations.
  4. Understanding latency and bandwidth requirements: high-performance computing and cloud workloads demand low-latency, high-bandwidth connections. Analyzing fiber data in the context of expected workloads ensures the site can support future operational needs.
  5. Integrating data from multiple sources: robust site selection involves leveraging a combination of geospatial analysis, infrastructure data, and real-time insights to make data-driven decisions that optimize connectivity, cost, and scalability.

Comprehensive fiber data empowers developers to strategically position their data centers for success in a competitive landscape. With this approach, users can optimize connectivity, foster operational excellence, and prepare facilities for future demands.

Who needs to consider fiber data?

Fiber data is essential for data center developers, site selection analysts, and engineering teams responsible for evaluating locations that must integrate fiber data into their decision-making process.

Whether you’re building hyper-scale facilities, enterprise data centers, or edge computing sites, having access to strong, high-capacity fiber infrastructure is one of the most essential tools for successful and future-proof project development.

How can PVcase Prospect help?

PVcase Prospect offers a powerful boost to site assessment by integrating extensive fiber data, thanks to partnerships with Rextag and FiberLocator. This release equips developers focused on data center projects and site selection with a comprehensive tool, enabling strategic placement of data centers for optimal connectivity. Notably, Rextag is free to customers until the end of March.

Integrating fiber data with other critical site selection factors empowers engineers to confidently deploy data centers, minimize costs, accelerate project timelines, and ensure optimal operational efficiency.

Map of Jefferson City with fiber optic cable route highlighted and detailed information displayed in PVcase Prospect.

Benefits of using precise fiber data layers in data center site selection

Missing the fiber data layer in your workflow? Integrate this crucial element into your site selection process and gain significant benefits:

  1. Reduce costs: avoid costly fiber extensions and infrastructure upgrades.
  2. Faster time-to-deployment: accelerate project timelines by selecting sites with robust connectivity.
  3. Improve network resilience: enhance redundancy and mitigate service disruption risks.
  4. Optimize performance: ensure proximity to low-latency, high-bandwidth networks for demanding applications.
  5. Gain competitive advantage: enable developers to make insightful decisions and secure top locations before their competitors do.
PVcase Prospect interface with highlighted fiber optic cable routes and data center points in Kansas City.

See it in action

Weave accurate fiber data into site assessments to provide developers with tools that can save on costs, speed up their projects, and ensure everything runs smoothly in the long term. Focusing on smart site selection today means data centers will stay strong, efficient, and ahead of the game in our fast-paced digital world.

Curious to learn more? Then, book a PVcase Prospect demo and get an in-depth walkthrough of the fiber data layer.

Gabrielė Ptašinskaitė-Mačiulė
Copywriter