Hitachi Vantara expands AI infrastructure program across Latin America
The growth of artificial intelligence projects is increasing demand for technology infrastructure capable of processing, storing and managing large volumes of data.
In this context, Hitachi Vantara announced the expansion of a program designed to improve access to technology resources for AI initiatives across Latin America.
The adoption of artificial intelligence is creating new challenges for organizations, particularly in areas related to data storage, compute capacity, infrastructure management and cost control.
In response to these needs, Hitachi Vantara announced the expansion of EverFlex in Latin America, an on-demand technology infrastructure model designed to support artificial intelligence projects, enterprise storage and private and hybrid cloud environments.
The initiative will be available to organizations across the region, where the company maintains operations in Argentina, Brazil, Chile, Colombia and Mexico.
Infrastructure emerges as a key AI challenge.
While much of the conversation around artificial intelligence focuses on models, applications and automation, the infrastructure required to support these initiatives has become one of the primary challenges facing organizations.
According to Hitachi Vantara, growing data volumes, increasing regulatory requirements and rising cyber threats are forcing enterprises to rethink how they manage technology resources.
Jeb Horton, Senior Vice President of Global Services at Hitachi Vantara, said:
”All organizations face similar challenges today: data volumes continue to grow, cyber threats are increasing, and regulatory requirements related to data sovereignty and compliance are becoming more stringent.”
According to the company, the expansion of EverFlex is intended to simplify access to infrastructure for AI projects through pay-per-use models, managed services and outcome-based contracting approaches.
Less upfront investment, greater flexibility.
The company noted that many organizations are looking to accelerate artificial intelligence initiatives without making large upfront investments in infrastructure.
In this regard, on-demand consumption models allow technology resources to be adjusted according to project requirements, combining operating expenditure (OpEx) and capital expenditure (CapEx) approaches.
According to the company, this model is designed to provide greater cost predictability while enabling organizations to scale resources up or down based on evolving business needs.
What the offering includes.
The offering covers resources related to:
Enterprise storage
Private and hybrid cloud infrastructure
Data platforms
Managed services
Infrastructure for artificial intelligence and analytics workloads
Data recovery
Leasing and subscription models
Managed Infrastructure-as-a-Service (IaaS) models
The company said these services can be managed partially or entirely by Hitachi Vantara, depending on customer requirements.
A growing market trend.
The expansion of these models coincides with a broader shift in how organizations acquire technology infrastructure.
According to Gartner data cited by the company, Storage as a Service (STaaS) models will account for 50% of spending on on-premises storage infrastructure and enterprise data services by 2029, up from 15% at the beginning of 2025.
This trend reflects growing demand for technology services consumed on demand, particularly for projects where artificial intelligence requires compute capacity, storage and scalability needs that are difficult to predict in advance.
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