Latin America’s data centers are ready for AI. The hardware, financing, and operations layer is what closes the gap, and that layer just arrived.
Latin America has a problem most regions would envy. The data center capacity to host AI workloads at scale already exists, with world-class facilities running on renewable energy across Brazil, Chile, Mexico and Colombia. What has been missing is the layer that converts that capacity into deployed AI clusters: consistent access to GPU hardware, financing built for compute assets, and the operating expertise to run them.
That gap is now closing. Here is how AI cluster deployment in Latin America works today, how the financing side is evolving, and why the recently announced partnership between Vertical Data and Ascenty addresses both sides at once.
Why is demand for AI compute surging in Latin America?
Enterprises across the region are moving AI out of pilots and into production. According to IDC, 62% of organizations in Latin America had reached systematic AI adoption or pilot testing by 2025, up from 39% in 2024. The business case is driving the shift: 92% of organizations in the region expect a positive return on their AI investments, projecting roughly three dollars in value for every dollar invested.
Increasingly, that compute needs to live in-region. Financial services, telecommunications, government and other regulated sectors are operationalizing AI within Latin America, driven by data residency requirements, latency-sensitive applications, and the strategic push toward sovereign AI capabilities.
Three forces are converging:
- Regulated industries cannot simply send sensitive workloads abroad. Compliance frameworks in banking, healthcare and government favor in-region processing, and governments are backing the shift with capital. Brazil’s national AI plan (PBIA) commits R$23 billion, roughly US$4 billion, between 2024 and 2028, including investment in sovereign computing infrastructure.
- The region holds a structural energy advantage. Renewable sources supplied 88.2% of Brazil’s electricity in 2024, according to the country’s official National Energy Balance, making it one of the most renewable-heavy grids of any major economy. In Chile, wind and solar generated a record 33% of electricity in 2024, up from 14% in 2019, per energy think tank Ember. That matters as AI clusters become some of the most power-intensive deployments in any data center.
- Capacity is expanding to meet it. Data center investment in Latin America is projected to grow from US$11.1 billion in 2025 to US$17.6 billion by 2031, according to research firm Arizton, with AI workloads as a primary driver of new construction across Brazil, Chile, Mexico and Colombia.
What does AI cluster deployment look like in the region today?
The physical foundation is stronger than most assume. Ascenty, the largest data center and connectivity platform in Latin America, operates or has under construction 40 data centers across Brazil, Chile, Mexico and Colombia, with 26 currently in operation and 14 under development, all interconnected by 4,000 km of its own fiber-optic network.
Critically, this is not legacy capacity being retrofitted for AI. The power profile of AI hardware explains why that distinction matters. For most of the industry’s history, a rack drawing 10 kilowatts was considered dense. Modern AI server racks already draw 40 to 80 kilowatts, and next-generation hardware is pushing past 100 kilowatts per rack. Ascenty’s facilities are designed for these energy and cooling intensive workloads, including GPU clusters, AI training environments and inference applications, with cooling architectures prepared for high-density environments including liquid cooling.
The sustainability profile is equally concrete. Since 2020, all Ascenty data centers have operated on 100% renewable energy guaranteed by I-REC certificates. Per its latest ESG report, the company neutralized 100% of its Scope 2 emissions through I-RECs and fully offset its Scope 1 and 3 emissions through carbon credits, while its closed-loop cooling systems deliver a water usage effectiveness of zero and an average PUE of 1.42, well below the global average of 1.56.
So if the buildings, power and connectivity exist, why are AI clusters not being deployed faster? Because deployment requires more than real estate. It requires GPU supply at competitive terms, capital structures that work for compute assets, and managed services to operate the environment. That is the layer the region has historically lacked.
How is AI compute financed in Latin America?
This is where the real bottleneck sits. GPU clusters are capital-intensive assets with fast refresh cycles, and traditional financing channels in the region were not built for them. Bank leasing programs treat GPUs like generic IT equipment, corporate capex cycles move slower than AI roadmaps, and few local lenders underwrite compute as a revenue-generating asset class.
Structured GPU financing changes that equation:
| Comparison Area | Traditional Capex / Bank Leasing | Structured GPU Financing |
| Asset treatment | GPUs treated like generic IT equipment | GPUs underwritten as revenue-generating compute assets |
| Speed to deployment | Slow approval cycles tied to corporate budgets | Aligned with procurement and deployment timelines |
| Balance sheet impact | Large upfront capital commitment | Capital-efficient structures matched to usage |
| Refresh risk | Owner absorbs hardware obsolescence | Structures can account for GPU lifecycle |
For enterprises in the region, this means AI infrastructure no longer requires choosing between a massive upfront capital commitment and not deploying at all. Financing becomes the catalyst that originates the deployment.
To learn more, visit gpufinancing.com
How is the demand actually being solved?
The model that is emerging combines four layers into a single deployment path: colocation in facilities built for high-density compute, hardware procurement at scale, structured financing matched to the asset, and managed services to operate the environment.
No single regional player has historically delivered all four. Data center operators provide the facility but not the hardware or capital. Hardware vendors sell equipment but do not finance or operate it. The result has been fragmented deployments that take longer, cost more, and often fall short of the technical and governance standards enterprises expect.
The full-stack approach closes that fragmentation. It gives enterprises operating in Latin America, and international companies deploying into the region, access to AI compute environments that meet the same technical, operational and governance standards adopted in North America and Europe.
Where Vertical Data and Ascenty fit
In June 2026, Vertical Data (OTCQB: VDTA) and Ascenty announced a Reseller and Referral Agreement to support the deployment of AI workloads across Brazil, Chile, Mexico and Colombia. The partnership establishes a clear division of capabilities:
| Vertical Data | Ascenty |
| Hardware procurement | Colocation across 40 data centers in 4 countries |
| Structured GPU financing | Carrier-neutral connectivity on 4,000 km of own fiber |
| Operating models and managed services | High-density and liquid cooling infrastructure |
| Go-to-market orchestration | 100% renewable energy, certified since 2020 |
The agreement includes reciprocal opportunity flow, with either party able to introduce opportunities involving GPU infrastructure, GPU financing or AI workloads, and three commercial models: joint go-to-market, referral, and resell.
Governance matters here too. Ascenty’s operations are supported by ISO 14001, 50001, 45001 and 37001 certifications, making the combined offering suitable for regulated industries with strict compliance, security and operational requirements. For a bank in São Paulo or a government agency in Santiago, that is often the difference between an approved deployment and a stalled one.
For additional details on the partnership between Vertical Data and Ascenty, visit:
The bottom line
Latin America’s AI compute demand is real, regulated, and growing. The data center foundation is already world-class. What changes now is that enterprises in the region have a single path from capacity to deployed AI clusters: infrastructure from Ascenty, with hardware procurement, structured financing and managed services orchestrated by Vertical Data.
If your organization is evaluating AI infrastructure in Latin America, talk to our team about deployment and financing options at verticaldata.io.
