SharonAI : Sharon AI - 10K Presentation (Sharon AI company presentation May 2026)
SHAZ
Published on 05/10/2026 at 11:57 pm EDT
COMPANY PRESENTATION
Table of Contents
Introduction
The Market Opportunity
Our Platform, Technology & Infrastructure
Commercial Model & Customer Traction
Management & Governance
Introduction
Who is Sharon AI?
Sharon AI is an Australian Neocloud operator, purpose-built to power the next generation of Artificial Intelligence and High Performance Computing
01
What we do?
Design and operate AI-native infrastructure optimised for
large-scale AI training, inference and high-performance computing - not general-purpose cloud
Deliver GPU-as-a-Service, AI Platform (PaaS) and
high-performance storage as a fully
integrated AI ecosystem
Solutions are targeted at a broad range of customers - including enterprise, government and hyperscalers
02
Why we succeed?
Privileged access to cutting-edge GPUs: One of only three NVIDIA Cloud Partners in Australia, with access to B200, B300 GPUs and anticipated access to GB300 GPUs
AI-optimised performance: Purpose-built networking, storage and orchestration delivers higher utilisation and efficiency than traditional cloud
Hosted in Australia - a globally attractive jurisdiction: Australian-hosted, low-latency, secure infrastructure built to meet enterprise, government and
regulated-industry requirements
Capital-efficient scale: Deploys into tier-III / IV data centres (e.g. NEXTDC) rather than building from scratch, enabling rapid expansion and faster time-to-revenue
03
Proof points
Demonstrated ability to deploy and operate AI superclusters at scale for sophisticated global customers
Enterprise-grade traction with landmark contracts including Canva, GMI Computing, and a US$1.26bn, 5-year agreement with ESDS Software Solutions
~70MW of data centre capacity
Company History
Since being incorporated in February 2024, Sharon AI has delivered on key strategic, operational and financing milestones
Key Strategic and Operational Milestones
Dec-24 Certified as an NVIDIA Cloud Partner
Mar-25
Announced planned development of Sharon AI Supercluster,
comprising 1,016 GPUs at NEXTDC's M3 Data Centre
Sep-25 Entered into agreement with Cisco for strategic collaboration
Dec-25 Announced 50MW Data Center Capacity Expansion
Key Financing Milestones
Feb-24 Sharon AI incorporated
Dec-25 ~US$103m pre-IPO via a Convertible Note offering
Agreement with NEXTDC, bringing total capacity to 54MW
Signed Canva contract
Feb-26
Reached binding agreement with Cisco - announcing secure AI Factory, providing 1,024 B300 GPU capacity
Feb-26 Listed on the NASDAǪ, raising ~US$125m
Mar-26 Agreement with WWT for deployment of HPC infrastructure
Signed GMI contract
Apr-26
Signed ESDS Software Solutions contract for anticipated US$1.26bn TCV, 5-year
Apr-26
Sharon AI confirms US$74m in total proceeds from the sale of its 50% stake in Texas Critical Data Centers
Apr-26
US$350m convertible note offering led by Oaktree Capital
Management, L.P.
The Problem That We're Focused on Solving
The Problem
AI adoption is accelerating faster than the infrastructure
required to support it
Demand for AI training and inference has outpaced the global supply of high-performance GPUs and power-dense data centres - both of which have increasingly long lead-times
Hyperscale clouds are optimised for general workloads - not deterministic, non-contended AI performance
Increasing requirements for sovereign data residency, security and compliance further constrain options
There is a structural gap between AI ambition
and fit-for-purpose AI infrastructure
Our Solution
To be the trusted AI infrastructure platform enabling AI at
scale
Deliver dedicated, HPC and GPU compute built to NVIDIA reference architecture
Provide secure, low-latency, sovereign, AI infrastructure hosted
in world-class APAC data centres
Enable customers to move from experimentation to production with speed, certainty and capital efficiency
Partner deeply across the AI ecosystem to ensure access to next-generation GPUs, power and connectivity
Build essential digital infrastructure that underpins the next generation of AI applications
Sharon AI exists to make large-scale AI deployment
reliable, scalable and economically viable
The Market Opportunity
Key GPUaaS Operators
Neoclouds are complementary operators to hyperscalers, with US Neoclouds solving global capacity shortfalls, while Australian Neoclouds are providing a solution for domestic compute demand
Hyperscalers
US Neoclouds
Australian Neoclouds
Global AI infrastructure demand is expanding at a pace that exceeds hyperscalers' ability to deploy incremental capacity in some markets given constraints on power availability, construction timelines and supply chain complexity
US Neoclouds have emerged to address these constraints, offering purpose-built, GPU-dense infrastructure, faster provisioning and flexible commercial
models compared with general-purpose hyperscaler GPUaaS, and are increasingly partnering with hyperscalers and AI end-users to deliver GPU capacity
023. Take-or-pay models are gaining traction with these infrastructure-style commercial contracts securing minimum revenue, mitigatin g demand volatility, improving capital planning and enabling scaled deployment
034. Australian Neoclouds have emerged to support domestic AU compute demand, enabling regional AI adoption through locally compli ant and operationally resilient compute solutions
Neoclouds vs Hyperscalers GPUaaS Service Offerings
Neoclouds are fundamentally optimised for AI workloads, while hyperscalers operate general-purpose cloud platforms to support a broad range of use cases
Dimension
Hyperscalers
Neoclouds
General-purpose cloud platforms
Purpose-built platforms
Architecture to balance compute, storage, and networking across diverse workloads
Designed for high GPU density
Performance may be constrained by multi-tenant and heterogenous workload requirements
Supports higher utilisation and more consistent performance for large-scale training and inference
Standardised configurations optimised for flexibility and scale across customers
Reduced virtualisation overhead with environments configurable to specific model requirements
Pricing and provisioning typically bundled within broader cloud service offerings
Capacity commitments, provisioning timelines, and pricing aligned to sustained GPU usage
Compliance and infrastructure management standardised across regions and services
Enables more directed management of power availability, data sovereignty, and compliance
Provides foundational cloud infrastructure and establishes pricing and capacity benchmarks
Operates as a complementary layer addressing capacity, performance, and deployment constraints for AI workloads
Evolution of Market Share in the US
The US GPU market has shifted from hyperscale-dominated supply to a bifurcated system where Neoclouds now absorb demand at scale
Estimated market share (as at 2024)
AWS Microsoft Google CoreWeave Lamda Nebius
Crusoe
WhiteFiber
27%
22%
16%
12%
G%
G%
2%
1%
1%
1%
GPU Cloud
Marketplaces
Other
Data Sovereignty & Regulations to Drive Regional Champions
Tightening data sovereignty and privacy rules in Australia and the US are generating a structural advantage for trusted, in-country AI infrastructure providers
US to curb global chip shipments; most markets will face restrictions
Regulations
Description
US
AI Gov. Framework
Guidance for AI deployment
CLOUD Act
Grants US authorities data access
HIPAA
Regulates health information
American Privacy Rights
Act (Proposed)
State-level consumer data protection
Australia
SOCI Act
Mandates security / resilience
reporting
Privacy Act 1S88 and Aus Privacy Principles
Regulates handling of personal data
CPS 234
Financial services information
security
My Health Record Act 2012
National electronic health records
Barriers to Entry Key Driver of Success for Early Entrants
Access to GPUs, grid constrained high-density power, tightening data regulation, and capital requirements establish barriers to entry into Global Neocloud and GPUaaS markets
Securing timely access to
GPUs remains a key challenge
Manufacturing constraints and hyperscaler prioritisation reduces supply
Emerging providers must navigate long lead times and competition from larger
incumbents
NVIDIA Cloud Partner Program (NCP) membership serves as a key mitigant to allocation headwinds for Sharon AI
Rapid growth in AI workloads is reshaping data centre infrastructure requirements
High-performance GPU clusters demand a substantial and reliable power supply
Sharon AI's relationship and agreement with NEXTDC and other data centre operators aligns demand for high-density compute with medium and long-term power planning
Countries increasingly
mandate that sensitive data
including customer information or AI model datasets remain within national borders
Providers must establish localised infrastructure, ensure secure data handling, and adapt to evolving regulatory frameworks, which raises
operational costs and slows international expansion
Entry into the Neocloud market
requires substantial capital investment and highly specialised talent
Capital investment could be
required across GPU
procurement, data centre construction, networking infrastructure, and maintenance operations
Specialised talent also essential, e.g. engineers specialising in HPC, distributed AI systems, and data centre
operations
Our Platform, Technology & Infrastructure
Our Solution Offering
Sharon AI provides access to accelerated computing infrastructure solutions specifically targeted to AI and HPC
applications, delivered "as-a-Service"
Current GPUs which Sharon AI offers to customers1
B200
B300
GB300
Engineered on the NVIDIA Blackwell
architecture
Next-generation data centre GPU in the
Blackwell Ultra series
Built on next generation NVIDIA Blackwell
architecture Super Chip
Designed for deployment within enterprise
GPU clusters and AI infrastructure
Engineered to accelerate demanding AI and
large-scale compute workloads
Achieves a 50% increase in performance
compared to the GB200s
Engineered for demanding AI training and
inference workloads
Engineered for extreme-scale AI inference and
reasoning
System-level "AI Factory" deployments
Scalable, on-demand access to high performance GPU cloud compute
Service engineered to accelerate complex AI workloads across use cases:
Model training
Inference
Research computing
Visual computing
Proprietary PaaS combining cloud infrastructure with expert AI, ML and HPC operational support
Delivers end-to-end AI development and deployment capabilities through unified interface
Provides highly scalable and cost-effective cloud storage designed for large-scale AI and HPC datasets
Services include:
S3 Compatible Cloud Storage
High Performance SSD Storage
Archive and Backup
Target Customers and Illustrative Use Cases
Sharon AI solutions are targeted at a broad range of customers which require sovereign, high-performance AI infrastructure for training, inference and mission-critical workloads at scale
Corporations integrating AI into workflows and require scalable infrastructure for model training and inference
Usecases: ML model training, inference, data analytics, generative AI applications
Enterprises
Hyperscalers
Large global cloud and internet platform companies that procure GPU and data centre capacity in massive contiguous blocks torun and scale their own cloud services and AI workloads
Usecases: Building dedicated AI clusters, inference at scale, model serving
AI Labs
AI research firms dedicated to researching, developing and applying AI require scalable infrastructure
Use cases: ML model training, inference, data analytics, generative AI applications
Research Institutes and Universities
Academic and scientific organizations conducting complex simulations and data-intensive research that depend on high-performance parallel processing capabilities
Usecases: LLM development, model research, compute intensive proof of concepts
Governmental Authorities
Public sector bodies seeking sovereign cloud capabilities and secure infrastructure for sensitive computational tasks
Usecases: High performance computing, climate modelling, genomics, scientific simulation
AI Start-ups and Developers
Early-stage companies and individual developers requiring flexible, on-demand access to powerful GPU resources
Use cases: Sovereign AI infrastructure, secure computing, defence applications
GPU Aggregators and Marketplaces
Platforms that aggregate GPU capacity from various providers to serve a broad user base. These customers provide Sharon AI with immediate access to a
wide demand pool
Usecases: Immediate access to broad customer pools, spot and short-term market participants
Our Approach is to Partner With the Best in the World
Sharon AI works with global leaders in AI and digital infrastructure to ensure best practices and on time delivery of Sharon AI's solutions
World Wide
Technology
NVIDIA is the designer and technology provider of the AI processors (GPUs) used by Sharon AI and is a key partner under NVIDIA's NCP program. NVIDIA also provides enablement support for deploying its enterprise-grade infrastructure
NEXTDC serves as the primary co-location data centre provider,
hosting Sharon AI's hardware infrastructure
Cisco provides AI-ready networking infrastructure, and will support the go-to-market strategy facilitating engagement with large-scale enterprise and government customers
WWT provides support for end-to-end procurement, assembly, delivery and installation of large-scale compute infrastructure
Lenovo provides access to hardware procurement and lifecycle services as part of the TruScale program
Key Delivery Partners: NVIDIA
NVIDIA is a manufacturer of Sharon AI's GPUs and is a key operational partner for Sharon AI. Sharon AI's certified NCP status provides it access to NVIDIA's latest technologies, technical support and go-to-market collaboration
Certified NVIDIA Cloud Partner (NCP) following successful deployment of NVIDIA reference architectures
Preferential access to NVIDIA roadmap and supply with visibility into NVIDIA's product roadmap
Purpose-built on NVIDIA reference architecture - all major GPU clusters, including Sharon AI's Supercluster, are architected to NVIDIA's reference designs
Deep hardware and software integration across deployed NVIDIA GPUs
across training and inference
Supply
B200
B300
GB300
Demand
Nvidia refers qualified customers to partners with available capacity
Key Delivery Partners: NEXTDC
NEXTDC S6
Primary, non-exclusive co-location DC provider, hosting the Company's AI cloud infrastructure across Tier III and Tier IV facilities in Australia
Access to up to ~54MWs of high-density capacity across NEXTDC sites, underpinning GPU expansion
~2MW operational capacity at M3 facility
~13MW distributed capacity at S6 and S3 facilities
40MW of contiguous capacity via an expansion agreement
NEXTDC's Australian-based, Digital Transformation Agency-certified facilities support data sovereignty and government-grade workloads
Facilities are purpose-built for advanced GPUs, engineered for NVIDIA reference architectures including liquid-cooled, high-power deployments required for B200, B300 and GB300 GPU clusters
The M3 data centre hosts Sharon AI's Supercluster deployment (1,016 GPUs)
NEXTDC M3
NEXTDC S3
NEXTDC M2
NEXTDC provides the sovereign data centre backbone including high power, liquid-cooled capacity, and Tier III and IV resilience that enables Sharon AI to deploy GPU Superclusters at speed and scale
Data Centre Strategy Beyond NEXTDC
While our anchor partnership with NEXTDC continues to support future deployment, Sharon AI is expanding capacity through a mix of third-party colocation and infrastructure partnerships
While NEXTDC is the primary host, Sharon AI has secured an additional partnership with a
domestic data centre for ~15MW of data centre capacity
Sharon AI continues to actively pursue additional partnerships with other high-quality colocation providers
- Additional partnerships will provide further power and capacity, ensuring the company is positioned for its next phase of growth with adequate headroom beyond currently contracted MWs
Sharon AI remains focused on establishing partnerships with data centre operators, so that it can scale without the capital intensity and long lead times associated with building large-scale data centres
Sharon AI has approximately ~70MW of data centre capacity
20
Disclaimer
SharonAI Holdings Inc. published this content on May 11, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on May 11, 2026 at 03:56 UTC.