FirstLight, a digital infrastructure and technology solutions company, has expanded its Bedford data center in New Hampshire, increasing the facility’s capacity by approximately 25 percent. The upgrade includes additional power and cooling infrastructure, supporting up to 100 more racks, along with private suites and caged environments to meet growing demand from enterprises and AI-driven edge applications.
According to a press release, the Bedford facility is connected to FirstLight’s dense, high-capacity fiber network that aims to offer low-latency access to regional and national destinations, cloud services, and private network connections. The location supports a range of use cases, including production environments, disaster recovery, and edge deployments that require performance and reliability.
Lorenzo Leuzzi, Chief Revenue Officer, FirstLight, said, “This expansion ensures we can continue supporting enterprises and public sector organizations running enterprise workloads, private AI deployments, and emerging AI inference workloads, while staying ahead of where their requirements are headed next.”
Leuzzi continues, “Customers increasingly want flexibility, whether that means deploying infrastructure closer to users at the edge, or leveraging our fiber network to connect into larger-scale environments, FirstLight is uniquely positioned to support both models with a tightly integrated approach to data center, network, and connectivity services.”
The primary strategy remains the same which is accommodating AI and data-intensive workloads through edge data center capacity closer to users or high-capacity fiber connections to larger core data centers and cloud ecosystems.
The upgraded Bedford facility adds to FirstLight’s portfolio of infrastructure assets across the Northeast, reinforcing the company’s commitment to supporting enterprises as performance, resiliency, and data demands increase. The expansion reflects FirstLight’s focus on scalable, high-performance infrastructure capable of supporting mission-critical applications and data-intensive workloads.