hyperscale
(5)
Digital Realty
The company you have probably never heard of owns the buildings your favorite apps actually live in. Here is how a REIT born from bankruptcy auctions became the landlord of the AI boom.
Ingenium LA
Ingenium is an independent engineering, consulting and operations firm specializing in mission-critical data centers across Latin America. Founded in Costa Rica in 2008, it acts as a vendor-agnostic trusted advisor that plans, designs, builds, certifies and operates high-availability digital infrastructure. The firm has worked on more than 150 data center projects in over 20 countries and holds one of the region's largest rosters of engineers accredited by the Uptime Institute, BICSI, LEED, PMI and ISO - including work on Latin America's first Tier IV design certification.
Proficium, Inc.
Proficium is a Union City, California optical connectivity company that designs, manufactures, and tests the cables and transceivers that move data inside hyperscale and AI data centers. Founded in 2003 by Dan Miranda, it supplies OEM-compatible optical transceivers (400G, 800G, and 1.6Tb/s), DAC/ACC/AOC copper and optical cables, fiber assemblies, and InfiniBand interconnects validated against gear from Arista, Cisco, NVIDIA, and Juniper. An early mover in AI/ML cluster networking since 2019, the company was acquired by private equity firm Mill Point Capital in 2024 to scale with surging data center demand.
TeraHop
TeraHop is an optical solutions provider building high-speed optical transceivers and modules for AI clusters and data centers. Operating from Singapore, San Jose, Thailand and a new Texas plant, it ships 400G, 800G, 1.6T and emerging 12.8T-class optics. As the international-facing arm of Zhongji InnoLight - the world's largest optical-transceiver maker - TeraHop pairs high-volume manufacturing with R&D partnerships across NVIDIA, Marvell and Corning, and in 2025-2026 raised roughly US$517M with backing from Abu Dhabi's ADIA and Singapore's Temasek.
Starcloud
Starcloud is a US deep-tech company building data centers in orbit. By placing GPU clusters in space, it taps near-continuous solar power and passive radiative cooling to run AI training and inference without the land, water, grid-permitting, and energy constraints that bottleneck data centers on Earth. In November 2025 its Starcloud-1 satellite became the first spacecraft to train a large language model in orbit using an Nvidia H100 GPU; its $170M Series A in March 2026 made it the fastest unicorn in Y Combinator history.