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SharonAI Holdings Inc., an Australian Neocloud delivering trusted AI infrastructure, has announced a five-year strategic agreement with Rafay Systems to use the Rafay platform as a centralized orchestration and operations layer across its AI Factory environments, targeting readers seeking semiconductor, AI chip, GPU, data center, and technology business news. Under the deal, Sharon AI will leverage Rafay’s automation, observability, governance, and secure multi-tenancy capabilities to standardize provisioning, monitoring, and customer access across its expanding accelerated computing infrastructure. The platform is designed to support the orchestration of up to 150,000 GPUs over the five-year term, enabling Sharon AI to manage compute capacity efficiently, accelerate service delivery, and provide consistent, secure access for customers building, training, and running AI workloads across Asia-Pacific and globally. “Sharon AI is delivering the trusted infrastructure and operational capabilities required to help customers realize measurable value,” said James Manning, co-founder and CEO, Sharon AI. “Our agreement with Rafay gives us a standardized platform for orchestrating and managing AI infrastructure across our expanding footprint.” The Rafay platform acts as a centralized control plane above physical infrastructure, handling lifecycle management, workload orchestration, governance, and support for Kubernetes and virtual machine environments. This abstracts the complexity of deploying advanced AI infrastructure, allowing customers to access AI capabilities without owning the underlying hardware. “Operating AI infrastructure at scale requires more than access to GPU capacity,” said Haseeb Budhani, co-founder and CEO, Rafay Systems. “Providers also need the orchestration, automation and governance capabilities required to transform that infrastructure into secure, reliable and production-ready AI services.” The agreement is expected to strengthen Sharon AI’s internal expertise, automate service delivery, improve infrastructure utilization and reliability, and accelerate access to advanced AI capabilities for customers.