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Tito Costa, chief revenue officer at Tecto, told RCRTech that the company’s model combines high-capacity environments for large processing volumes with a distributed infrastructure, closer to users and regional demands
In sum – what to know:
Enterprise shift – Brazilian companies are driving demand for AI-ready infrastructure beyond hyperscalers.
Hybrid architecture – AI Grid and AI Factory combine distributed and high-density compute for latency and scale.
Energy constraint – Power availability and efficiency are becoming central to site selection and capacity planning.
Tecto Data Centers is reshaping its expansion strategy around a structural shift in enterprise demand, as Brazilian companies increasingly treat digital infrastructure as core to their operations.
“There is a structural change in the profile of large Brazilian companies, which have begun to treat technology as a pillar of their business,” said Tito Costa, chief revenue officer at Tecto, in an interview with RCRTech. “We are in a significant expansion cycle, building new regionally distributed data centers, which allows us to be closer to these companies and meet the specific demands of each local market.”
The comments come as Tecto recently announced a $2 billion investment plan for 2026–2028, including the launch of five new data centers. The expansion includes projects such as TPOA1 in Porto Alegre and TGRU1 in Santana de Parnaíba, the latter designed for up to 200 MW and tailored for high-density AI and cloud workloads.
Tecto is also expanding beyond its traditional base of hyperscalers and telecom operators to target large Brazilian enterprises, reflecting rising demand for infrastructure that can support AI, cloud, and data-intensive applications.
“The enterprise market is advancing in cloud, data, and artificial intelligence and needs a robust, resilient, scalable, and flexible infrastructure to support this growth,” Costa said. “Our model combines high-capacity environments for large processing volumes with a distributed infrastructure, closer to users and regional demands.”
This approach is reflected in Tecto’s AI Grid and AI Factory architecture. “AI Grid allows for distributed processing and brings applications closer to users, reducing latency and improving data flow. AI Factory, on the other hand, concentrates computational capacity for more intensive workloads,” Costa explained. “In practice, this translates into three direct gains for the customer: lower latency, greater scalability, and better resource utilization.”
Energy availability is emerging as a central constraint as AI workloads scale. “Projects of this magnitude reflect a structural shift in the sector: energy has ceased to be merely a relevant input and has become the starting point for investment decisions,” Costa said, referring to large-scale developments such as TGRU1. He added that site selection increasingly depends on grid access, scalability and long-term planning to support high-density compute.
At the same time, Tecto is expanding beyond traditional hubs. “Emerging locations play an increasingly important role… infrastructure is no longer concentrated solely in large centers and is expanding to new regions, bringing processing closer to users and creating new digital hubs,” Costa said. He noted that connectivity and energy availability remain the key factors guiding site selection.
Tecto currently operates seven data centers — three in Fortaleza (TFOR1, TFOR2 and TFOR3), one in Rio de Janeiro (TGIG1), and three in Barranquilla, Colombia (TBAQ1, TBAQ2 and TBAQ3) — with additional projects under development supporting its expansion plan.
The company delivers integrated solutions by combining its AI Factory and AI Grid data centers with a network of more than 450,000 km of fiber optic cable in Brazil, along with a submarine cable system spanning over 26,000 km that connects Brazil to six countries: Argentina, Bermuda, Chile, Colombia, the United States, and Venezuela.
Another Brazilian company, Elea Data Centers, is aligning its infrastructure strategy to support both large-scale AI training and distributed inference workloads, as new backing from I Squared Capital strengthens its expansion plans in Brazil.
In an interview with RCRTech, Alessandro Lombardi, founder and chairman of Elea Data Centers, recently said the company expects artificial intelligence demand to reshape how data center capacity is deployed, with distinct requirements emerging across different workload types.
