For many small and medium-sized businesses (SMBs) across Mexico, AI promises new opportunities to improve productivity, automate processes and compete more effectively. Yet access to the infrastructure needed to support AI remains uneven, particularly outside major metropolitan areas. EdgeNet is building one of Mexico’s first distributed AI factory networks to close that gap, bringing enterprise-grade AI infrastructure and services closer to where businesses operate.
The Mexico-based provider of AI and cloud infrastructure solutions is working with Lenovo to build a distributed network of localized “AI factories”: regional AI and cloud infrastructure hubs designed to deliver high-performance AI services closer to where customer data is generated.
By leveraging Lenovo TruScale Infrastructure as a Service (IaaS), including proactive infrastructure management and lifecycle services, EdgeNet is reducing infrastructure costs by up to 30%, accelerating cloud provisioning by 50% and cutting infrastructure management time by up to 40% – helping remove barriers that have traditionally limited SMB getting access to AI.
Veronica Viniegra, Director of MAYIA & Flai Projects at EdgeNet, said: “SMBs drive innovation and employment across Mexico, but many have been priced out of traditional AI infrastructure. We set out to change that by bringing powerful, locally delivered AI capabilities within their reach.”
Making AI More Accessible for Mexico’s SMBs
The AI market in Mexico is already valued at $16 billion and is projected to grow to $180 billion by 2033. This is driving demand for infrastructure capable of supporting real-time AI workloads such as machine vision, video analytics, inventory optimization and defect detection.
Yet many SMBs still face significant barriers to adoption, including limited local infrastructure, high upfront investment requirements and the complexity of managing AI workloads at scale. EdgeNet’s response is to build one of Mexico’s first distributed AI factory networks – a model designed to democratize access to enterprise-grade AI by bringing infrastructure closer to where businesses operate and data is generated.
To make this model viable, EdgeNet needed an infrastructure approach that could expand quickly, remain cost-efficient and support enterprise-grade workloads. Lenovo TruScale IaaS combines robust infrastructure with managed services, including centralized management, proactive monitoring and lifecycle support.
Standardized infrastructure management also helps EdgeNet deploy AI factories more consistently as it expands across Mexico, helping the company accelerate growth while maintaining predictable operations and service delivery.
Proactive monitoring and lifecycle services further improve operational efficiency by minimizing routine maintenance, freeing IT teams to focus on higher-value work, including AI optimization and customer support.
Through Lenovo TruScale IaaS, EdgeNet can scale compute capacity without major upfront investment, making advanced AI services more financially accessible for SMB customers. Based on Lenovo ThinkSystem SR630 V3 and Lenovo ThinkAgile VX Series solutions, EdgeNet benefits from the performance and reliability needed to support demanding AI and cloud workloads. The Lenovo Hybrid Cloud Platform also allows EdgeNet to deploy and manage cloud environments consistently across locations.
Emilio Flores, Founding Partner/Commercial and Strategic Director at EdgeNet, said: “As AI creates new opportunities across industries, Lenovo TruScale aligns perfectly with our vision for distributed AI infrastructure for SMBs. Today, we are working on innovative use cases including video analytics for mobility and security, inventory optimization for retail and defect detection for manufacturing.”
Linda Yao, Vice President and General Manager, Hybrid Cloud & AI Solutions at Lenovo, said: “Organizations want to focus on creating value from AI and accelerating innovation across their business. By combining Lenovo TruScale with EdgeNet’s distributed AI factory model, we’re helping deliver the infrastructure, expertise and flexibility needed to scale AI closer to where data is generated and business outcomes are created.”
Delivering Faster Growth and Lower Barriers to AI
With Lenovo TruScale IaaS, EdgeNet is reducing infrastructure costs by up to 30%, accelerating cloud provisioning by 50% and cutting infrastructure management time by up to 40%. Together, these improvements are helping the company expand AI services more quickly and make enterprise-grade AI infrastructure more accessible for SMBs across Mexico. EdgeNet is scaling its distributed AI factory model across the country to meet growing SMB demand. The company is deploying AI factories within its primary data center in Mexico City, with plans to expand to 30 distributed data centers nationwide.
Lenovo TruScale IaaS is enabling this growth by combining consumption-based infrastructure with ongoing managed services that simplify operations, improve infrastructure availability, and reduce day-to-day management overhead. Together, these capabilities allow EdgeNet to scale capacity in line with customer demand, while maintaining the high-performance environment required for real-time AI workloads.
As the footprint expands, more SMBs will gain access to low-latency AI infrastructure closer to where their data is generated. By bringing AI compute closer to customers, EdgeNet can support faster processing, improved application performance and a more responsive AI experience, while retaining the agility to expand capacity as market demand evolves.
Following the launch of its new AI and cloud services, EdgeNet projects revenue growth of around 20% over the next 18 months. This reflects strong demand from Mexican SMBs for AI services that are easier to access, faster to deploy and more cost-effective to scale.
Viniegra said: “We are one of the first companies in Mexico to deploy AI factories. Our close industry links and integrated capabilities across infrastructure as a service, platform as a service and AI puts us in a prime position to capture untapped market demand.”
As EdgeNet expands its distributed AI factory network, the company is helping reshape how AI infrastructure is delivered in Mexico. By bringing enterprise-grade AI capabilities closer to underserved businesses, EdgeNet is lowering barriers to adoption and helping SMBs participate more fully in the country’s growing AI economy.
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