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SharonAI Expands Sovereign AI Cloud with 600PB VAST Data Deployment
SharonAI Holdings Inc. (NASDAQ: SHAZ) announced on June 15 2026 that it will deploy 600 petabytes of VAST Data’s AI Operating System across its cloud infrastructure. The move is intended to create a data backbone capable of supporting roughly 100,000 GPUs, which the company says will underpin its sovereign cloud services for Australia and the broader Asia‑Pacific region.
The partnership builds on an existing relationship between SharonAI, a leading Australian neocloud and high‑performance computing (HPC) provider, and VAST Data, a private company that develops a unified storage‑compute platform built on a Disaggregated and Shared Everything (DASE) architecture. According to the companies’ joint press release, the 600 PB deployment will provide the concurrent throughput required for large‑scale AI training and inference workloads, while also offering native multi‑tenancy with strong isolation and per‑customer service‑level agreements.
SharonAI’s CEO stated that the expanded deployment is designed to meet the high‑performance demands of government, enterprise, and research customers while ensuring data sovereignty. The company said that by keeping sensitive intellectual property and strategic workloads onshore, it can deliver the speed needed for advanced AI training, inference, and agentic systems.
VAST Data’s DASE architecture separates storage media from the CPUs that manage that media, allowing all system metadata to be shared across the cluster. The architecture is intended to eliminate traditional data bottlenecks and provide a global namespace that supports multiple tenants. In the joint announcement, the companies said they will continue to collaborate on engineering optimisations as SharonAI scales its operations and expands its AI factory ambitions.
SharonAI’s current GPU fleet is expected to exceed 55,000 units by mid‑2027. The 600 PB deployment, based on VAST Data’s benchmark of approximately 6 PB of optimized AI storage per 1,000 GPUs, is therefore positioned to support the data needs of roughly 100,000 GPUs. The company said the deployment will enable it to offer secure, high‑performance environments for customers across the region.
The partnership is part of a broader trend of AI infrastructure providers seeking to offer sovereign cloud solutions that comply with local data‑protection regulations. SharonAI’s focus on Australia and the Asia‑Pacific aligns with government initiatives to develop domestic AI capabilities and reduce reliance on foreign cloud providers.
VAST Data, which has a valuation of about $30 billion as of April 2026, has positioned its AI Operating System as a platform for AI neoclouds, enterprise AI, and sovereign AI initiatives. The company’s platform combines storage, database, and distributed computing into a single stack, which is intended to simplify the deployment of AI workloads.
SharonAI’s expansion is expected to strengthen its position in the Australian HPC market, where it already offers GPU solutions for training and inference. The company said that the new data backbone will accelerate the development of AI factories and sovereign AI solutions.
The joint announcement did not include specific financial terms for the partnership. However, analysts have noted that SharonAI’s stock has performed strongly in recent quarters, and the company’s expansion into a larger data infrastructure is seen as a key driver of future growth.
In summary, SharonAI Holdings Inc. is deploying 600 PB of VAST Data’s AI Operating System to support up to 100,000 GPUs across its sovereign cloud services in Australia and the Asia‑Pacific. The move is intended to provide high‑performance, secure, and onshore AI training and inference capabilities for government, enterprise, and research customers.
The companies plan to continue engineering collaboration to optimise the platform as SharonAI scales its operations and supports increasingly complex AI factory ambitions. The deployment is expected to be fully operational in the coming months, with further expansions anticipated as the company’s GPU fleet grows.
The partnership underscores the growing importance of integrated AI infrastructure solutions that combine storage, compute, and networking to meet the demands of modern AI workloads while respecting data‑safety and sovereignty requirements.
The partnership builds on an existing relationship between SharonAI, a leading Australian neocloud and high‑performance computing (HPC) provider, and VAST Data, a private company that develops a unified storage‑compute platform built on a Disaggregated and Shared Everything (DASE) architecture. According to the companies’ joint press release, the 600 PB deployment will provide the concurrent throughput required for large‑scale AI training and inference workloads, while also offering native multi‑tenancy with strong isolation and per‑customer service‑level agreements.
SharonAI’s CEO stated that the expanded deployment is designed to meet the high‑performance demands of government, enterprise, and research customers while ensuring data sovereignty. The company said that by keeping sensitive intellectual property and strategic workloads onshore, it can deliver the speed needed for advanced AI training, inference, and agentic systems.
VAST Data’s DASE architecture separates storage media from the CPUs that manage that media, allowing all system metadata to be shared across the cluster. The architecture is intended to eliminate traditional data bottlenecks and provide a global namespace that supports multiple tenants. In the joint announcement, the companies said they will continue to collaborate on engineering optimisations as SharonAI scales its operations and expands its AI factory ambitions.
SharonAI’s current GPU fleet is expected to exceed 55,000 units by mid‑2027. The 600 PB deployment, based on VAST Data’s benchmark of approximately 6 PB of optimized AI storage per 1,000 GPUs, is therefore positioned to support the data needs of roughly 100,000 GPUs. The company said the deployment will enable it to offer secure, high‑performance environments for customers across the region.
The partnership is part of a broader trend of AI infrastructure providers seeking to offer sovereign cloud solutions that comply with local data‑protection regulations. SharonAI’s focus on Australia and the Asia‑Pacific aligns with government initiatives to develop domestic AI capabilities and reduce reliance on foreign cloud providers.
VAST Data, which has a valuation of about $30 billion as of April 2026, has positioned its AI Operating System as a platform for AI neoclouds, enterprise AI, and sovereign AI initiatives. The company’s platform combines storage, database, and distributed computing into a single stack, which is intended to simplify the deployment of AI workloads.
SharonAI’s expansion is expected to strengthen its position in the Australian HPC market, where it already offers GPU solutions for training and inference. The company said that the new data backbone will accelerate the development of AI factories and sovereign AI solutions.
The joint announcement did not include specific financial terms for the partnership. However, analysts have noted that SharonAI’s stock has performed strongly in recent quarters, and the company’s expansion into a larger data infrastructure is seen as a key driver of future growth.
In summary, SharonAI Holdings Inc. is deploying 600 PB of VAST Data’s AI Operating System to support up to 100,000 GPUs across its sovereign cloud services in Australia and the Asia‑Pacific. The move is intended to provide high‑performance, secure, and onshore AI training and inference capabilities for government, enterprise, and research customers.
The companies plan to continue engineering collaboration to optimise the platform as SharonAI scales its operations and supports increasingly complex AI factory ambitions. The deployment is expected to be fully operational in the coming months, with further expansions anticipated as the company’s GPU fleet grows.
The partnership underscores the growing importance of integrated AI infrastructure solutions that combine storage, compute, and networking to meet the demands of modern AI workloads while respecting data‑safety and sovereignty requirements.
