Rafay Platform enables EdgeNet to deliver multi-tenant AI and cloud services with enterprise-grade governance, automation, and orchestration
SUNNYVALE, Calif.–(BUSINESS WIRE)–Rafay Systems, a leading provider of infrastructure orchestration and workflow automation for Kubernetes and GPU-based environments, today announced its partnership with EdgeNet–a Mexico-based cloud services and digital infrastructure provider, – to power EdgeNet’s next-generation GPU cloud offering.
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 Budhani, CEO 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-Service, VM-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 Garza, Cloud 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.
About EdgeNet
EdgeNet is a Mexico-based digital infrastructure company that operates a sovereign network of 30 edge data centers across the country, delivering high-performance, secure and locally hosted compute environments for enterprises, developers and government institutions. Through its Mayia Cloud initiative, EdgeNet enables organizations to deploy and scale AI and cloud-native workloads on a self-service platform optimized for GPU and CPU infrastructure, while ensuring low latency, data residency in Mexico, and end-to-end services such as cybersecurity, disaster recovery and continuous monitoring.
About Rafay Systems
Founded in 2017, Rafay Systems delivers infrastructure orchestration and workflow automation that helps enterprises, cloud service providers, and sovereign AI clouds scale Kubernetes and AI workloads. The company’s flagship product, The Rafay Platform delivers a GPU PaaS™ experience for end-users that effectively transforms complex cloud compute environments into governed, self-service systems that accelerate innovation and simplify operations. The Rafay Platform also helps companies improve governance capabilities, optimize costs of CPU & GPU resources, and accelerate the delivery of cloud-native and AI-powered applications. Customers such as MoneyGram and Guardant Health entrust Rafay to be the cornerstone of their modern infrastructure strategy and AI architecture. Gartner has recognized Rafay as a Cool Vendor in Container Management. GigaOm named Rafay as a Leader and Outperformer in the GigaOm 2025 Radar Report for Managed Kubernetes. To learn more visit www.rafay.co.
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