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Sharon AI Signs $1.32B Cloud Computing Contract

by | Jul 23, 2026

Five-year agreement covers data center deployment, 132 MW capacity and more than 62,000 NVIDIA GPUs by mid-2027
Image: Sharon AI

NEW YORK, NY, July 23, 2026 – Sharon AI has signed a five-year, $1.32 billion cloud computing contract with a global AI Lab. The company plans to deploy the computing capacity across data centers in New Zealand, with revenue expected to begin during the first and second quarters of 2027.

Sharon AI reports 132 MW of total AI Factory capacity, including 116 MW contracted to customers. The company expects to deploy more than 62,000 NVIDIA GPUs by mid-2027.

James Manning, co-founder and CEO, Sharon AI said, “We are excited to be deploying our first AI Factory in New Zealand. The established data center infrastructure and future growth potential in country provide Sharon AI with a strong foundation for future expansion. We are pleased to be deploying accelerated compute for another AI native and continue to see strong demand from enterprise, government, hyperscale, AI native and research customers across Asia-Pacific and Rest of World.”

Source: Sharon AI

About Sharon AI

Sharon AI is a high-performance computing company founded in 2021 and headquartered in Sydney, Australia. The company provides cloud GPU services, AI computing infrastructure, and data storage systems for organizations that run compute-heavy workloads. Sharon AI offers virtual machines, GPU-as-a-service options, and cloud capacity designed for AI training, machine learning development, and high-performance computing tasks. The company supports customers that work with generative AI, large-language models, and scientific or engineering simulations. Sharon AI serves businesses, research institutions, and government agencies that require flexible access to GPU clusters and sovereign cloud environments. The company designs its systems to support resource-intensive projects and to handle datasets in production or research settings. Sharon AI operates its services through an Australian data center and maintains infrastructure to support high-bandwidth networking, distributed training, and data lifecycle management. The company also provides workload management tools that help users deploy applications, manage storage, and allocate GPU resources for specific tasks.