Aolani and Rafay Deploy NVIDIA DSX OS on GB200 NVL72

Aolani, a Singapore-based AI cloud provider founded in 2023, and Rafay Systems announced a strategic collaboration to deploy NVIDIA DSX OS on NVIDIA GB200 NVL72 infrastructure, marking one of the industry’s first implementations of the software stack on NVIDIA’s latest AI platform. The deployment combines Aolani’s AI cloud infrastructure with the Rafay Platform to help cloud providers, enterprises, telecommunications operators, and sovereign AI initiatives move from installed GPU infrastructure to production-ready AI services.

The joint platform integrates NVIDIA GB200 NVL72 systems with Rafay’s orchestration, automation, multi-tenancy, governance, and lifecycle management software. Rather than exposing raw GPU infrastructure, the platform enables organizations to provision Kubernetes clusters, virtual machines, AI workspaces, and inference environments through a self-service portal while maintaining centralized policy enforcement, operational visibility, and infrastructure governance. According to the companies, the platform supports model development, AI training, inference workloads, and future AI service delivery without requiring operators to assemble multiple infrastructure management components.

Aolani said the collaboration supports its goal of reducing time-to-value for customers deploying AI infrastructure across Asia. Rafay Systems said the deployment reflects a broader shift in the AI infrastructure market as operators increasingly focus on software platforms that improve GPU utilization, automate operations, and enable commercial AI services on large-scale accelerated computing infrastructure. The companies position the deployment as an example of how NVIDIA GB200-based infrastructure can be transformed into a governed, production-ready AI platform.

“AI infrastructure has entered a new phase. The question is no longer how quickly organizations can deploy GPUs. It’s how quickly they can transform that infrastructure into a governed, self-service platform that developers can use and operators can manage at scale,” said Haseeb Budhani, CEO and co-founder of Rafay Systems.

• One of the first announced deployments of NVIDIA DSX OS on NVIDIA GB200 NVL72 infrastructure.
• Combines Aolani AI cloud infrastructure with the Rafay Platform.
• Supports Kubernetes, virtual machines, AI workspaces, and inference environments.
• Provides multi-tenancy, governance, policy enforcement, and lifecycle management.
• Targets neocloud providers, enterprises, telecommunications providers, and sovereign AI operators.
• Designed to support AI training, inference, and production AI service delivery.
• Aolani is headquartered in Singapore and was founded in 2023.
• Rafay Systems is an NVIDIA Inception member focused on AI infrastructure operations software.

🌐 Analysis

The announcement highlights a growing transition within AI infrastructure from hardware deployment toward operational software. As hyperscalers, neocloud providers, enterprises, and sovereign AI initiatives deploy increasingly large GPU clusters, software responsible for provisioning, governance, security, tenant isolation, and lifecycle automation is becoming a key differentiator for bringing AI infrastructure into production.

The deployment also reflects NVIDIA’s broader AI factory strategy around GB200 NVL72 systems and DSX software. Companies including Rafay are building management layers that enable operators to expose GPU infrastructure as managed AI services rather than standalone compute resources, allowing providers to improve utilization while simplifying operations for enterprise AI developers.