Sharon AI는 Rafay Systems와 5년 간의 전략적 파트너십을 체결하고 Rafay의 플랫폼을 중앙 집중식 o로 도입하기로 했다.

Sharon AI Holdings Inc., an Australian Neocloud listed on NASDAQ under the ticker SHAZ, announced a five-year strategic agreement with Rafay Systems, a leading provider of platforms for modern infrastructure and AI workloads. Under the deal, Sharon AI will implement the Rafay platform as a centralized orchestration and operations layer across its growing AI Factory environments. This integration standardizes how accelerated computing infrastructure is provisioned, governed, monitored, and delivered to customers across various locations, tenants, and workloads. The partnership formalizes a shift from isolated cluster deployments to a unified operating framework designed to support Sharon AI’s expansion throughout the Asia-Pacific region and internationally.

The Rafay platform delivers automation, observability, governance, and secure multi-tenancy features necessary to operate advanced AI infrastructure at scale. It enables Sharon AI to manage compute capacity efficiently, accommodate diverse customer workload demands, and provide reliable access for building, training, and running AI applications. The system functions as a centralized control plane that sits above physical infrastructure, offering lifecycle management, workload orchestration, monitoring, and support for both Kubernetes and virtual machine environments through a single interface. By abstracting the complexities of procurement, deployment, and management, the architecture allows Sharon AI to deliver AI capabilities directly to customers without requiring them to own or maintain underlying hardware. Over the five-year term, the established architecture is designed to support the orchestration of up to 150,000 GPUs, signaling Sharon AI’s intent to scale platform components for larger GPU deployments in the future.

James Manning, Co-founder and Chief Executive Officer of Sharon AI, stated, Sharon AI is delivering the trusted infrastructure and operational capabilities required to help customers realize measurable value. Our agreement with Rafay gives us a standardized platform for orchestrating and managing AI infrastructure across our expanding footprint. This should enable us to manage our compute capacity more efficiently, accelerate service delivery and provide customers with a consistent and secure experience as we scale. Haseeb Budhani, Co-founder and Chief Executive Officer of Rafay Systems, added, Operating AI infrastructure at scale requires more than access to GPU capacity. Providers also need the orchestration, automation and governance capabilities required to transform that infrastructure into secure, reliable and production-ready AI services. Sharon AI is building a highly scalable AI infrastructure platform for customers across Asia-Pacific and beyond, and we are proud to provide an operational foundation that can support its continued growth.

The collaboration is expected to enhance Sharon AI’s internal expertise around the Rafay platform, establish consistent operating practices across its AI infrastructure deployments, and strengthen the company’s ability to automate service delivery, improve infrastructure utilization and reliability, maintain uniform governance, and accelerate customer access to advanced AI capabilities. Sharon AI operates as a sovereign AI infrastructure provider, leveraging its AI Factory platform and a network of technology and co-location partners to help organizations build, train, and run AI models ranging from initial training to inference and agentic AI. Rafay Systems supplies software that enables operators, including Neoclouds, telecommunications providers, enterprises, and sovereign AI operators, to operationalize GPU and compute infrastructure through self-service automation, governance, and multi-tenancy, covering bare-metal provisioning, infrastructure lifecycle management, virtual machines, Kubernetes, GPU platform-as-a-service, AI development environments, and token-metered inference services.