# Aolani and Rafay Collaborate on One of the Industry's First NVIDIA DSX OS Deployments on NVIDIA GB200 NVL72 Infrastructure

- Link: https://www.thailand-business-news.com/pr-news/aolani-and-rafay-collaborate-on-one-of-the-industrys-first-nvidia-dsx-os-deployments-on-nvidia-gb200-nvl72-infrastructure
- Published: 2026-07-27T07:03:00+07:00
- Author: PR Newswire

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**The collaboration demonstrates how next-generation AI infrastructure can be transformed
into production-ready AI platforms for enterprise and cloud providers.**

SUNNYVALE, Calif. and SINGAPORE, July 27, 2026 /PRNewswire/ — [Rafay Systems](http://www.rafay.co/),
a leading platform provider for modern infrastructure and AI workloads and a member
of [NVIDIA Inception](https://www.nvidia.com/en-us/startups/), today announced a
strategic collaboration with [Aolani](https://www.aolanicloud.com/) to deliver one
of the industry’s first deployments of [NVIDIA DSX OS](https://docs.nvidia.com/dsx#dsx-os)
running on NVIDIA GB200 NVL72 infrastructure, helping demonstrate how next-generation
AI infrastructure can move from installation to production-ready AI services.

As organizations continue investing in accelerated computing, the competitive advantage
is shifting beyond acquiring GPUs. Success increasingly depends on how quickly providers
can operationalize infrastructure, onboard customers, govern multi-tenant environments,
and deliver AI services that developers and enterprises can consume immediately.

The collaboration between Aolani and Rafay addresses that challenge by combining
Aolani’s next-generation AI infrastructure with Rafay Platform’s orchestration, 
automation, multi-tenancy, and lifecycle management capabilities to create a production-
ready AI platform built on NVIDIA AI infrastructure.

Rather than delivering raw GPU infrastructure alone, the solution enables organizations
to provision Kubernetes clusters, virtual machines, AI workspaces, and inference
environments through a secure self-service experience while maintaining centralized
governance, policy enforcement, and operational visibility.

"Aolani has always been committed to delivering faster time-to-value for our customers,"
said Nicholas Chia, CEO of Aolani. "Our customers are at the bleeding edge of AI
development, and they need to provision, govern, and scale from day one in an industry
that moves at lightning speed. Building the next generation of AI cloud means solving
for more than just compute capacity, but also production-grade platforms that enable
operational readiness from the get go. That’s why we are so excited about this partnership
with Rafay."

The announcement reflects a broader transition taking place across the AI infrastructure
industry. As cloud providers, enterprises, and sovereign AI operators deploy increasingly
powerful GPU infrastructure, attention is moving toward the software layer that 
enables those investments to become secure, scalable, and commercially viable AI
platforms.

"AI infrastructure has entered a new phase," said Haseeb Budhani, CEO and co-founder
of Rafay Systems. "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. We’re
excited to collaborate with Aolani to help demonstrate what’s possible with NVIDIA
AI infrastructure and accelerate the path from hardware deployment to production
AI services."

The deployment combines Aolani’s AI cloud infrastructure with the Rafay Platform
to simplify infrastructure bring-up, automate lifecycle management, enforce enterprise
governance, and provide developers with immediate access to production-ready AI 
environments. The result is a platform designed to support model development, training,
inference, and future AI service delivery without requiring organizations to assemble
the operational software stack themselves.

As next-generation AI infrastructure continues to scale globally, Aolani and Rafay
are demonstrating how infrastructure providers can move beyond deploying GPU capacity
to operating modern AI platforms that accelerate customer adoption, improve infrastructure
utilization, and shorten time to value.

**About Aolani**

Where AI gets built in Asia. Founded in 2023, Aolani’s AI factories enable enterprises,
AI natives, and sovereigns to build with confidence, scale ambitiously, and move
at hyper-speed in the world’s fastest-growing AI market. Founded in Singapore and
backed by compliant and purpose-built neocloud infrastructure, Aolani delivers the
performance capabilities for next-generation AI. For more information, visit [www.aolanicloud.com](http://www.aolanicloud.com)
and follow[ ](https://sg.linkedin.com/company/aolani-cloud)[@AolaniCloud](https://sg.linkedin.com/company/aolani-cloud)
on LinkedIn.

**About Rafay Systems**

Rafay Systems is a leading software provider powering the operators building the
AI cloud, including neoclouds, telecommunications providers, enterprises, and sovereign
AI operators. The Rafay Platform lets these organizations operationalize GPU and
compute infrastructure with self-service automation, governance, and multi-tenancy,
spanning bare metal provisioning, infrastructure lifecycle management, virtual machines,
Kubernetes, GPU PaaS, AI development environments, and Token Factory  for publishing
AI models as token-metered inference services. By simplifying orchestration and 
operations across this stack, Rafay helps operators increase GPU utilization and
turn raw infrastructure into monetizable, production-ready AI services, all while
maintaining security, consistency, and control. For more information, visit[ ](https://rafay.co/)
[rafay.co](http://rafay.co/).

**Media ContactH/Advisors on behalf of Aolani Cloud
[klareco-aolani@h-advisors.global](https://www.thailand-business-news.com/pr-news/klareco-aolani@h-advisors.global)

Angela Shugarts
Rafay Systems[angela@rafay.co](https://www.thailand-business-news.com/pr-news/angela@rafay.co)

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**Read the original article :** [Aolani and Rafay Collaborate on One of the Industry's First NVIDIA DSX OS Deployments on NVIDIA GB200 NVL72 Infrastructure ](http://www.prnasia.com/story/archive/5011992_AE11992_0?rand=184833)
