RT-One Adopts AMPHIX AI Infrastructure Platform to Accelerate AI Deployments Across the Americas

RT-One, a developer of federated AI infrastructure campuses across the Americas, has become the first commercial customer of the AMPHIX AI Infrastructure Platform, a move that could significantly compress the timeline between capital commitment and revenue generation for enterprise AI deployments. The announcement was made jointly by RAVEL, a provider of AI infrastructure and workload orchestration software, and Strata Expanse, which developed the Gray Space as a Service model for high-performance compute deployments.

The AMPHIX platform is designed as a deployment model for enterprise AI infrastructure, integrating site-ready land, resilient power, cybersecure edge networking, certified compute stacks, and intelligent orchestration software. Through its production-grade Centers of Excellence (COE), organizations can validate AI workloads under real-world power, thermal, and performance conditions before committing significant capital. This approach addresses a well-known industry pain point: traditional production-grade pilots can take up to nine months to deploy and cost as much as $4 million, yet they rarely replicate the exact conditions of a live production environment, leaving organizations to scale based on guesswork rather than evidence.

AMPHIX is intended to replace that guesswork with proof. Using flexible consumption-based pricing, customers validate the precise environment that will go into production, and can even begin serving their own customers from within the COE while permanent infrastructure is still under construction. The same environment also gives teams the space to refine AI models, architectures, orchestration policies, and governance, while training on the exact setup they will operate in production. For RT-One, this means customer environments can come online months ahead of campus completion, with faster onboarding and lower deployment risk.

The partnership builds on a strategic agreement between RAVEL and RT-One to create a first-of-its-kind federated AI infrastructure model spanning the Americas. RT-One's work within the COE will certify the reference configuration for that model, including compute, network, thermal, and orchestration profiles. These validated configurations will then be carried into each site in RT-One's portfolio, with adjustments applied only where local regulations require, effectively operationalizing a sovereign cloud architecture across multiple jurisdictions.

RT-One will use the AMPHIX COE near Colusa, California, to validate and optimize a high-performance technology stack, refine operational policies for performance, energy, and cost using RAVEL Orchestrate AI, train its operations teams, and stand up customer environments before its campuses become operational. The configurations proven in the COE will be embedded into RT-One's standardized deployment block, reducing rollout risk and accelerating time-to-production and revenue at every subsequent site.

The Colusa COE is one of the largest planned AMPHIX sites, with power delivered by a microgrid developed and managed by Colusa Indian Energy. Within the AMPHIX framework, RAVEL is responsible for making each COE production-ready, including certifying the technology ecosystem, designing and validating the deployment, and delivering operator training. RAVEL's Orchestrate AI software manages and optimizes the workloads running across the infrastructure, while Strata Expanse provides the physical foundation land, power, cooling, and secure connectivity upon which every AMPHIX site is built.

The combination of technology, physical infrastructure, and operational expertise is intended to give customers like RT-One the space and power needed to support ambitious AI pilots and full-scale production rollouts. As AI infrastructure grows more complex, AMPHIX offers a repeatable deployment model that helps organizations move from pilot to production with greater speed and reduced risk, according to the companies.

Denise Muyco, CEO of RAVEL, noted that the rapid pace of innovation, unprecedented demand for GPUs, and the 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," she said. "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."

Fernando Palamone, CEO of RT-One, explained that his company's customers buy contracted capacity with a firm delivery date and defined performance standards, and that RT-One pays a penalty if either is missed. "We have secured land and the energy strategy across the Americas. What the COE gives us is the ability to certify the exact configuration we intend to deploy the same standardized block, the same stack, the same operating policies while the campuses are under construction, rather than waiting until after they come online," he said. "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."

Greg Wood, Senior Director at Strata Expanse, said AMPHIX is designed to provide a more repeatable blueprint for AI infrastructure deployment. "Strata Expanse provides the physical foundation, including land, power, cooling, and secure connectivity, so customers and technology partners can focus on deploying and operating their compute environments," he said. "By validating configurations in a production-oriented setting, organizations can make future infrastructure decisions with greater speed and confidence."