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EdgeNet Selects Rafay Systems to Power Next-Generation GPU Cloud Platform in Latin America

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Rafay Platform enables EdgeNet to deliver multi-tenant AI and cloud services with enterprise-grade governance, automation, and orchestration

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Rafay Systems, a leading provider of infrastructure orchestration and workflow automation for Kubernetes and GPU-based environments, announced its partnership with EdgeNet–a Mexico-based cloud services and digital infrastructure provider, – to power EdgeNet’s next-generation GPU cloud offering.

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EdgeNet’s new platform, Mayia Cloud, is designed to democratize access to GPU-powered computing for enterprises, developers, and research institutions across Latin America. By leveraging Rafay’s GPU PaaS capabilities, EdgeNet can deliver secure, self-service AI and cloud-native environments while maintaining the governance and operational control required by modern service providers.

“EdgeNet represents the new class of regional cloud operators emerging to meet localized demand for AI infrastructure,” said Haseeb BudhaniCEO and Co-Founder of Rafay Systems. “With Rafay, EdgeNet can offer its customers a cloud-native experience with the reliability, compliance, and automation typically reserved for hyperscalers. Together, we’re expanding what’s possible for sovereign and regional cloud providers.”

EdgeNet’s new GPU Cloud aims to bring enterprise-grade compute capabilities closer to customers while enabling consumption-based access to AI and cloud-native services. Using the Rafay Platform, EdgeNet can unify orchestration across hybrid infrastructure stacks and multiple virtualization environments, including Nutanix, Hyper-V, and bare-metal GPU servers, under a single control plane.

Key capabilities enabled by Rafay include:

  • Multi-Tenant GPU Cloud Orchestration: Governed, isolated environments for multiple tenants across shared GPU infrastructure with end-to-end visibility and policy enforcement.
  • Unified Virtualization and Infrastructure Management : Seamless orchestration across diverse compute layers, from virtual machines to containers and notebooks, with full API-based automation.
  • X-as-a-Service Catalogs : Preconfigured service tiles for Notebook-as-a-ServiceVM-as-a-Service, and Platform-as-a-Service, allowing customers to deploy AI workloads on demand.
  • Integrated Networking & Security Controls : Support for service-provider-grade spine-and-leaf networking topologies and zero-trust operational models.
  • Simplified Day-2 Operations : Automated scaling, patching, and blueprint-based environment updates to ensure consistent performance and uptime.

“Our mission at EdgeNet is to accelerate the adoption of AI and cloud technologies across Latin America by providing enterprises and developers with simple, on-demand access to high-performance compute,” said Diego GarzaCloud Program Director at EdgeNet. “Rafay’s orchestration platform gives us the scalability, security, and operational automation required to deliver these services efficiently and reliably.”

As AI adoption reshapes global infrastructure needs, regional and sovereign cloud providers are increasingly focused on creating differentiated services that combine proximity, performance, and compliance. The partnership between Rafay and EdgeNet exemplifies this shift, enabling regional players to rapidly build and monetize AI-ready cloud platforms without the complexity of managing Kubernetes, GPUs, or distributed systems at scale.

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