AI to the data,
not data to the AI.
The market is chasing a handful of Neocloud tenants. Your own customers are asking you for AI, and their data already sits in your facility.
Sovereign AI allows you to capture that demand: AI inference served from the halls you already operate, air-cooled, white labelled, secure by design. Attract Neoclouds with a proven AI ecosystem.
PTX brings the platform and operates it for your customers. You bring the facility, the interconnection and the customer relationships. There is no AI programme to run and no scarce AI talent to hire.
Sovereign AI means owning the infrastructure,
not renting it.
Sovereign AI is AI infrastructure your customers own: the platform hosting open-source models, the connectivity and the tools, provided and kept running by PTX. How they use it, and everything they build with it, is theirs.
Your customers are already asking what you can offer them on AI, and more of them now require their data to stay in-country before they will run those workloads at all. Without a sovereign offer you say no, the workload goes elsewhere, and the colocation and interconnection revenue attached to it goes with it.
The standard answers all fail.
There is a second pressure building. Access to the strongest models depends on policy set in another country, and it can be withdrawn at short notice. At the same time, open models are improving fast and are already capable enough for most production work. An operator that can host those models in-country, and enable data access to them, holds something a foreign government cannot switch off.
The money is already moving. Investment in AI infrastructure runs into the hundreds of billions, and governments are writing sovereignty into law to keep AI capabilities within their borders.
This is a window. The demand is forming inside your own customer base, and the operators who serve it first, on customer-owned infrastructure, set the terms before it commoditises.
Watch a live session.
One live session, PTX AI on PTX hardware: three supplier agreements reviewed for data-residency risk, shared drive searched, the web researched, and the findings written up to a document the platform created itself. Two minutes, retimed for pace, sources shown throughout.
Three ways PTX works with
you to build an AI ecosystem.
You own the data centre and the interconnection. Your clients own their platforms and data. PTX designs, builds and runs the AI infrastructure.
How the partnership works
Your customer base is already asking for sovereign AI. PTX brings the built-and-tested platform, demonstrated live, and sits with you in the client conversations. The AI answer in your portfolio without an AI programme behind it.
You make the introduction; PTX designs each platform to the client’s spec. The client buys and owns the infrastructure, and PTX builds and operates it inside your facility.
Each platform draws on what you own: space, power and interconnection into the data it serves. More platforms means more members, more cross-connects, more reasons the next AI tenant lands with you. The ecosystem compounds, wired through your services.
Training needs new halls.
Inference needs yours.
The AI builds in the headlines are training and token factories, designed around dense power and liquid cooling in purpose-built halls. A data centre built for the interconnected cloud era was never meant for that, and retrofitting it to chase them is a race against operators who started there.
Inference is a different workload, and it is the one that runs every time a model is used, not just when it is built. Built right, it does not need the power or cooling requirements of training. What it needs is to sit close to the data it serves, and that data is the asset you are already sitting on. Your facility holds vast amounts of your customers’ private data, the data they will not hand to a hyperscaler in another jurisdiction. That data, and the secure interconnection around it, is what makes you the right place to run their AI.
This is what answers the sovereignty question. The platform runs inside your footprint and cross-connects securely into that data where it already lives, so models run against it in-country and under the client’s control, and nothing leaves the building except by the client’s own policy. It is also why the platform stays put: moving the AI would mean moving the data it serves. The secure interconnection your data centre was built for is exactly what sovereign AI needs: the AI goes to the data, not the data to the AI.
Sovereign by default, connected by choice.
GPU infrastructure, model hosting and inference, built into a platform the client's teams use every day: a workspace under their own brand, answers grounded in their own documents, AI agents that act on the systems they already run, every request routed to the model that suits it. It is not a proposal. PTX built the platform first and runs its own business on it daily; the session above is that platform, live.
A client deployment keeps the shape and changes the scale, specified to their workload and your facility. Your client approves the design, buys the infrastructure and owns it, with their data. PTX builds and operates it as a managed service; usage, and whatever their teams create on top, stays theirs.
The hardware is sourced through our established partner ePlus and delivered globally; lead times are real, and the delivery plan is built around them. The platform runs from a single inference node to clustered capacity, ten users or a thousand, sized for inference, not training, in standard air-cooled footprints.
Composed from product blocks we deliver independently.
The platform is a new build, the parts are not: blocks we design, build and run on their own, for operators in production today.
Cloud Platforms
The compute and storage foundation beneath the platform, built in-jurisdiction: data plane and management plane in-country, isolation the client can evidence to a regulator.
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Network Infrastructure
The fabrics beneath the platform, designed and built: management, user and data planes kept separate, egress controlled, your client's data interconnects privately and securely.
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Automated OSS / BSS
Business systems, integrated to the platform through governed APIs and surfaced in the workspace as tools, with usage metered so the client sees who uses what.
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AI Integration
The client’s working AI, brought home: the knowledge, prompts and integrations built up on frontier platforms, migrated onto their own, and new AI built into products and operations.
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Portals, APIs & Marketplaces
The front door of the platform: the branded workspace the client’s teams use every day, and the documented APIs their developers integrate their own systems with.
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Custom
Anything specific to your market and your sovereignty requirements, including the design artefacts and evidence the frameworks your clients answer to require.
View productProduct that defines. Engineering that ships. Enablement that earns. Management that scales.
One partnership takes each client's platform from introduction to operation.
Shaping the offer, sizing the capex case with your client, reading your market’s sovereignty pressure: calls this team has made before, inside operators including Digital Realty, Console Connect and ANS. The advice starts from your economics, not from a technology pitch.
Your client’s risk function will inspect this platform, so it is built to be inspected: tested end to end, documented, data flows and egress evidenced. The same discipline that rebuilt an operator’s production platform to 450+ automated tests, from none.
PTX operates live platforms for operators today, and the sovereign AI estate in the session above is part of the same daily practice: models refreshed, tools maintained, incidents owned. Your client’s platform joins an operating rhythm that already exists.
Outcomes, not activity.
AI workloads that stay in your building, and the colocation and interconnection revenue attached to them.
New demand for exactly what you already sell: space, power and interconnects into the data the AI serves.
A sovereign AI answer for every client conversation, with no AI programme and no AI hires behind it.
Client platforms PTX designs, builds and operates, under their brand, on infrastructure they own.
The data already sitting in your footprint, turned into the reason workloads stay.
An AI ecosystem in your facility that attracts the next AI tenants, including the Neoclouds.
From empty rack to live platform.
One team designs, builds and operates the whole platform. Your part is the facility, the introductions and the client relationship; the capex decision is your client's. Five steps, run in sequence, each one proven before the next.
Advise, build and run.
We deliver Sovereign AI through our PTX Innovation Lifecycle services, our method for taking a platform from idea to revenue.
We advise. They decide.
The client’s demand, their requirements, economics and the architecture for a sovereign AI platform, and where it generates value within their business.
We build, test and deliver.
The platform integrated and productised, model hosting and the branded portal the client's teams consume it through, single-tenant by design and compliance-ready.
We run it, together.
PTX operates the platform, models refreshed, tools maintained; the client’s teams run what they build on top. The operating knowledge is documented, never locked away.
After the initial term, the client chooses: PTX operates on, or hands over and steps away. Either way nothing is stranded: the infrastructure is built into your facility, documentation and everything created for the client transfer as standard, and the open-source foundations are nobody’s to take away.
So, what's your AI story?
Bring the customers already asking for AI, and we will show them the platform live, against their real requirements.
