IT infrastructure · Managed services · Private AI
Twenty years of virtualisation and cloud, now pointed at private AI.
Virta designs, builds and operates the infrastructure behind Australian government, finance, education and airline environments — and the private AI that now sits on top of it, running inside your own walls.
Darwin NT · Engagements Australia-wide
- 20+ years
- Delivering virtualisation and cloud infrastructure — from physical server farms through to private AI.
- 90 years combined
- Consulting experience across the team, gained in Australia and internationally.
- Government · finance · education · airline
- The industries our infrastructure work has landed in — as design, build and support.
- Darwin, Northern Territory
- One office, one phone number, and no offshore call centre between you and an engineer.
What we do
Three ways we get involved, and the one that usually comes with them.
Some clients hand us the estate and stop thinking about it. Others keep their own team and call us in for the hard parts — a migration, a recovery plan, a platform that has run out of road. Both are normal.
Private AI
AI that runs in your rack, not in somebody else's tenancy.
Most “AI for business” conversations end with your data sitting in a vendor's cloud under a policy you cannot audit. This one ends differently: a model running on infrastructure you own, answering over documents you control, backed up and access controlled like the rest of your estate.
It is the same discipline we have applied to virtualisation for twenty years — design it, size it honestly, build it, then run it properly. The novelty is the workload, not the method.
Where this fits
- You have regulatory, contractual or simply commercial reasons for data to stay in-house.
- Your documents are the value — policy, contracts, service desk history, engineering records.
- You want AI inside the tools your team uses, not another browser tab.
- You have an existing virtualisation estate, and someone accountable for change control.
Where it does not
- You want the largest frontier models, with no hardware and no appetite for inference cost.
- A public chatbot would genuinely do the job and the data rules allow it.
- Nobody internal wants to own AI risk, governance or the operational consequence.
- The goal is a pilot that never has to run on a Monday morning.
How we engage
Assess, design, build, operate.
The same four steps whether the job is a virtualisation refresh, a cloud migration or a private AI rollout. Nothing gets built in production before it has been designed and agreed.
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Assess
Current state, constraints, licence position and what is actually broken — measured, not guessed. Capacity, dependencies and risk, written down.
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Design
Target architecture, migration path and cost model. Platform choices made in the open, with the trade-offs on the table before anything is purchased.
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Build
Migration, cutover and documentation, in change windows that respect your business hours. You keep the documentation afterwards, not just the outcome.
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Operate
Monitoring, patching, backup, capacity and reporting under our management — or a clean handover to your own team, with the runbooks to match.
Technology
We work across platforms, not for one of them.
Twenty years of VMware delivery is where much of our depth comes from. It is not the only answer we bring — and where open source or a different cloud does the job better or cheaper, we will say so in the design document.
Virtualisation & private cloud
- VMware vSphereTwo decades of design, migration and support. Still one option among several.
- Proxmox VE & KVMWhere the licence bill outweighs the feature list.
- Microsoft Hyper-VUsually because it is already licensed and understood.
- Private cloud & IaaSOn-premises, colocation, and the local providers who host here.
Cloud, identity & endpoint
- Microsoft 365 & Entra IDIdentity, mail, collaboration and the conditional access around them.
- Azure & AWSWorkloads that genuinely belong in a public cloud, and the ones that do not.
- LinuxThe platforms that quietly run everything else.
- Endpoint managementDesktops, laptops and the people who use them.
Data protection & resilience
- VeeamBackup and replication designed to survive ransomware, not just disk failure.
- Immutable & offline copiesBecause the first target is usually the backup server.
- Disaster recoveryDocumented plans and, more importantly, restore tests that have actually been run.
- Business continuityAvailability designed around what the business can tolerate losing.
Networking, branch & edge
- Switching, routing & wirelessCampus, branch and everything between them.
- Remote & branch sitesMany thin sites, centrally controlled, without a server in every cupboard.
- VPN & site connectivityIncluding the sites where the link is the weakest part of the design.
- Rack, power & environmentThe unglamorous half of every infrastructure project.
Private AI stack
- Open-weight modelsChosen for the task and the hardware, not the leaderboard.
- Local inferenceServing tuned to your concurrency and acceptable latency.
- Retrieval over your documentsAnswers grounded in your material, with the source shown.
- GPU sizing & platformCompute, power, cooling and the honest cost-of-ownership picture.
Track record
Twenty years of work we can point to.
Virta's consultants have designed, implemented and supported IT infrastructure for medium and large organisations in Australia and overseas, across government, finance, education and the airline industry. Much of that work was done alongside in-house teams who kept running the platform afterwards — which is why we write things down.
Large organisations spend years and millions designing efficient, resilient infrastructure. Our position is that a growing business should be able to adopt the same proven patterns in weeks, tailored to what it actually needs — not a cut-down version of them.
What that means in practice
What you get from us that you may not get elsewhere
- An engineer on the call from the first conversation, not a salesperson.
- Documentation you own at handover: design, build, IPs, credentials, runbooks.
- Platform recommendations that include the option of not spending money.
- Restore tests you have watched fail on a non-production copy before you needed them.
- Straight answers when a request is a bad idea — in writing, early.
Tell us what you are running now.
A short call with a consultant is usually enough to say whether the problem is the platform, the process, the licensing, or all three — and what it would take to fix it.