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Building and scaling AI is complex enough without the added pressure of expensive GPU hardware, compliance risks and data residency challenges. Datacom’s private AI platform solves these problems, giving you instant access to GPU-powered infrastructure that's secure, scalable, and fully compliant right here in Australia and New Zealand. Gain access to powerful GPUs, pre-integrated frameworks and managed container platforms. No big upfront investment. No compliance worries. Just AI infrastructure that works.
GPUaaS (GPU as a Service) provides on-demand access to NVIDIA powered infrastructure, hosted securely within Datacom’s private cloud. It’s built for companies embracing AI and advanced compute — offering flexible, high-performance GPU resources without the cost or complexity of building and maintaining your own.
Secure AI deployments for regulated industries (government, finance, healthcare, critical infrastructure).
High-performance deep-learning and AI training workloads.
Datacom’s private AI platform gives New Zealand organisations a secure, GPU‑enabled environment to design, deploy, and operate AI models on private AI infrastructure hosted in Datacom‑owned data centres. Keeping AI workloads and data onshore helps support New Zealand jurisdiction and privacy expectations, while still giving you the scale needed for training and running modern models. The platform integrates with your existing systems and cloud services, so you can move from pilots to production AI without losing control over where data lives or how it is governed.
The platform combines GPU‑based compute, secure storage, and managed MLOps tooling in Datacom’s New Zealand data centres. Your teams can use familiar AI frameworks, connect to approved data sources, and move models through training, testing and production using standardised pipelines.
Access is integrated with enterprise identity and role‑based controls, and Datacom’s local teams handle platform operations, monitoring and lifecycle management. If you need help identifying use cases, designing models, or modernising applications, Datacom’s AI and engineering practices can support the full lifecycle – from idea, to proof‑of‑concept, to large‑scale deployment.
Forget costly upfront GPU hardware purchases. Access datacentre-grade GPUs hourly, monthly, or fractionally - pay only for what you use.
Datacom hosts private AI infrastructure in its own tier 3 New Zealand data centres, giving you low‑latency access and clear assurance about where data and models reside. Keeping workloads onshore supports compliance with the Privacy Act 2020 and helps you follow New Zealand government guidance on managing jurisdictional risk in cloud services. Local support teams manage the platform day to day, so there is no ambiguity about who is responsible for operations, security, and continuity. All your sensitive data remains sovereign. Our locally hosted infrastructure meets IRAP PROTECTED, NZISM and ISO27001 compliance requirements.
We take away the pain of setting up and managing Kubernetes and container clusters, so your team can focus entirely on building and improving your AI models.
Protect sensitive datasets from ransomware and security risks with secure, immutable object storage designed for AI workloads.
Keep control of your costs. Our cloud portal provides billing insights based on monthly use, ensuring you're never caught off guard by unexpected infrastructure expenses.
New Zealand agencies and organisations need AI capability that respects local law, data sovereignty expectations, and guidance on jurisdictional risk. A private AI platform lets you:
This is particularly important for government, healthcare, education, and critical infrastructure providers who must show clear control over data and AI decision‑making.
Most New Zealand organisations already run a mix of on‑premises systems, Datacom private cloud, and hyperscale cloud services. Datacom’s private AI platform is designed to connect into this landscape: it can use data from lakes, warehouses, and line‑of‑business systems, and deploy AI into existing applications or APIs. This means you can keep critical datasets in New Zealand sovereign or hybrid environments while still leveraging public cloud where it makes sense from a cost and capability perspective.
Get in touch with Datacom's AI specialists to get started with simple secure, sovereign and scalable AI infrastructure.
Local team, local expertise
With 60+ years serving Australian and New Zealand organisations, we understand the complexities of local regulatory environments better than anyone.
Flexible hybrid integration
Seamlessly connect our platform to your existing cloud or on-prem infrastructure, giving you maximum flexibility.
Proven partnerships
Direct, strategic relationships with NVIDIA and Dell support reliable, high-quality GPU infrastructure.
Instead of buying expensive GPU hardware, GPUaaS lets you access powerful GPUs from NVIDIA and Dell instantly, billed hourly, monthly or fractionally.
Yes. Datacom's platform is locally hosted within data centres in Australia and New Zealand, certified compliant with IRAP PROTECTED, NZISM and ISO27001 standards.
Typically within days, often faster. Your Kubernetes and GPU infrastructure can be provisioned almost immediately, not weeks or months.
We fully manage your GPU infrastructure, Kubernetes clusters, compliance and data storage. You focus purely on AI and machine learning innovation.
AI in the cloud refers to the use of artificial intelligence (AI) technologies and services hosted on cloud computing platforms. It allows businesses to leverage AI capabilities like machine learning, natural language processing, and computer vision without needing to invest in expensive on-premises infrastructure or specialised expertise. Cloud AI makes AI more accessible, scalable, and cost-effective for a wider range of organisations.
Cloud platforms provide the compute power, data pipelines, and machine learning frameworks needed to train and deploy AI models. Datacom’s AI-ready platforms support GPU workloads, compliance and data sovereignty.
A private AI platform enables organisations to train and deploy AI models within a secure, sovereign cloud , keeping sensitive data in-country and under your control. Datacom’s hosted private cloud includes GPU nodes, container orchestration, and machine learning tooling.
A private AI platform is a dedicated environment for building, training, and running AI models on infrastructure you control, rather than on shared public AI services. For New Zealand organisations, that means AI workloads and data can stay in Datacom‑owned New Zealand data centres, under New Zealand law and Privacy Act 2020 expectations, instead of being processed offshore. This gives you more control over where data lives, who can access it, and how AI is governed, which is especially important for government, healthcare, education, and critical infrastructure.
Datacom hosts the private AI platform in its own tier 3 data centres in New Zealand, operated by local teams, so AI workloads and data remain physically and logically onshore. This helps organisations align with the Privacy Act 2020 and New Zealand government guidance on managing jurisdictional risk in cloud services. By keeping AI infrastructure and operations in New Zealand, you can demonstrate that sensitive data used for training and inference is subject to local law and governance, not foreign legislation.
Yes. The platform is designed to connect to the mix of systems most New Zealand organisations already use: on‑premises databases, Datacom private or sovereign cloud, and public cloud services. Through governed data pipelines and integrations, it can access data from lakes, warehouses, and line‑of‑business systems, then deploy models back into existing applications or APIs. This means you can bring AI to where your data and users already are, instead of creating a separate, hard‑to‑govern island.
Datacom’s local AI and engineering teams can help at every stage: identifying high‑value use cases, designing and training models, modernising applications to embed AI, and putting governance frameworks around how AI is used. Because the platform sits in Datacom’s New Zealand data centres alongside other hybrid and sovereign services, you also get operational support, monitoring, and lifecycle management from teams that understand New Zealand public‑ and private‑sector requirements.
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