# RT-One Becomes First AMPHIX Customer, Certifying One AI Stack to Deploy Across the Americas > Source: > Published: 2026-08-13 16:13:19+00:00 RAVEL and Strata Expanse have named RT-One as the first commercial customer of the AMPHIX AI Infrastructure Platform, a deployment model designed to validate enterprise AI infrastructure before permanent production sites are completed. AMPHIX combines site-ready land, resilient power, cybersecure edge networking, certified compute stacks, and orchestration software. Its production-grade Centers of Excellence, or COEs, allow organizations to test AI infrastructure under expected power, thermal, and performance conditions before making larger capital commitments. The companies say traditional production-grade pilots can take up to nine months to deploy and cost up to $4 million, while rarely testing the configuration that actually reaches production. The launch lands in the same wave of AI infrastructure plays as [Volta’s stealth exit](https://www.storagereview.com/news/volta-comes-out-of-stealth-with-a-10b-ai-lab-partnership-and-a-133mw-vera-rubin-factory-in-norway) and [NVIDIA’s buildout financing programs](https://www.storagereview.com/news/nvidia-pairs-revenue-sharing-with-credit-support-to-finance-ai-cloud-buildouts), all aimed at the gap between capital commitment and production revenue. “The pace of innovation, unprecedented demand for GPUs, and complexity of AI infrastructure stacks have created an environment with more capital at risk, more operational exposure, and longer timelines before a single workload runs in production. The AMPHIX Centers of Excellence were designed to change that,” said Denise Muyco, CEO at RAVEL. “Customers like RT-One can validate, operationalize, and prove their infrastructure against real workloads before making major infrastructure investments. That’s the model the industry needs to move towards, and RT-One is the first to run it.” RT-One will use the AMPHIX COE near Colusa, California, to validate and optimize its high-performance AI technology stack. The company will test compute, networking, thermal, and orchestration configurations; refine policies governing performance, energy consumption, and cost; train operations personnel; and establish customer environments ahead of campus availability. RAVEL’s Orchestrate AI software will manage and optimize workloads across the environment. The validated configuration will become part of RT-One’s standardized deployment block for its federated AI infrastructure model across the Americas. The reference design can then be replicated at future sites, with adaptations at layers affected by local regulatory requirements. This approach is intended to reduce repeated validation work, lower rollout risk, and move contracted capacity into service sooner. “Our customers buy contracted capacity with a firm delivery date and defined performance standards; we pay a price if we miss either,” said Fernando Palamone, CEO of RT-One. “Every validation hour we complete in the COE is an hour we do not spend proving the same point again in Brazil, in Paraguay, or in Colombia. That is what compresses the interval between capital commitment and revenue service: not speed on any single site, but certifying once and deploying many times.” The Colusa COE is planned as one of the largest planned AMPHIX sites and will be powered by a microgrid developed and managed by Colusa Indian Energy. Within the platform, Strata Expanse supplies the physical foundation, including land, power, cooling, and secure connectivity. RAVEL is responsible for preparing the COE for production use, including technology ecosystem certification, deployment validation, and operator training. Strata Expanse said the platform is designed to provide a repeatable blueprint for AI infrastructure deployments by separating the work of validating infrastructure configurations from the longer construction cycle for permanent campuses. For RT-One, this enables infrastructure and operating policies to be certified in advance, then carried into subsequent deployments. The AMPHIX model positions the COE as both a validation environment and an interim production platform, allowing organizations to tune models, architectures, orchestration policies, and governance on the same configuration intended for production. Access is priced on a flexible consumption basis.