Virtualization
KARL Virtualization
Hypervisor-grade control without the permanent weight of always-on virtual machines, delivered and operated by us on infrastructure we run.
Legacy virtualisation asks you to carry hundreds of machines that exist even when they are powered off: duplicated operating systems, rigid resource pools, and capacity reserved against headcount rather than against use. Karl is the alternative. It is a European patented, container-native platform that brings hypervisor-grade control and Kubernetes orchestration under one control plane, so clusters, networks, storage and instance pools are managed in one place. Instances allocate resources while they are active and release them when they are not, and when something goes wrong the instance is not repaired. It is terminated and rebuilt clean from the standard model, with persistent state held separately on mapped volumes.
Karl is built by KARL Technology of Rome, Italy, under European patent WO2023/012553, and licensed in three editions: Karl Basic for the hypervisor and orchestrator, Karl Flex for that plus enterprise DaaS per user, and Karl DaaS for the workspace layer alone. Infinite Networks is the delivery and support layer: we size the cluster, deploy it on infrastructure we run, integrate it with identity and storage, and operate it after go-live.
Who It Is For
- Organisations facing a hypervisor licensing renewal they cannot justify
- Teams carrying more virtual machines than the workload needs
- Businesses that want virtualisation and desktop delivery on one platform
What It Is
A container-native virtualisation platform, patented in Europe, that replaces always-on virtual machines with Kubernetes-orchestrated instances
What Changes
Capacity is drawn while an instance is active and released when it is not, so the cluster is sized against use
How It Is Licensed
Karl Basic for virtualisation, Karl Flex to add DaaS per user, Karl DaaS for the workspace layer alone
Who Answers
The engineers who sized the cluster and deployed it, not a licence reseller
Specification
Model
Container-native virtualisation, Kubernetes-orchestrated instances
Control Plane
One plane for clusters, networks, storage and instance pools
Editions
Karl Basic, Karl Flex, Karl DaaS
Recovery
Terminate and rebuild clean from the standard model
Measured
Instance ready in about 53 seconds, teardown in about 6
Runs On
Bare metal, private cloud and the major public clouds
What You Get
Capacity Against Use, Not Headcount
Instances draw what they need while they are active and release it when they are not, so a cluster is sized against concurrency rather than against the number of machines somebody once defined. There is no floor of idle virtual machines holding committed memory overnight.
Compromise Means Rebuild
The runtime is disposable by design. Ransomware inside a running instance goes away with the instance: the operator terminates it and brings up a clean one from the standard model, while persistent data stays on mapped volumes outside the session. KARL measure teardown at about six seconds and a fully configured instance back at about fifty three.
One Control Plane
Clusters, networks, storage and instance pools are managed from a single plane, and the same plane delivers workspaces where you licence the DaaS layer. Virtualisation and desktop delivery stop being two estates with separate tooling, separate upgrade cycles and separate people who understand them.
Scoped, Deployed And Operated By Us
We size the cluster against your workloads, deploy it onto hardware we run or hardware you own, integrate it with your storage and our identity layer, and stay on it afterwards. Everything KARL offers is available from us as a managed service rather than as a licence handover.
How It Works
Five stages from a licence renewal you do not want to sign to a platform you can actually operate. Nothing here needs a call to get moving.
Inventory
We start from what you run today: machine count, what each one actually consumes against what it reserves, peak concurrency, and the licence position you are working to. Most estates discover here that they are paying for capacity that is committed and idle.
Sizing And Edition
The inventory becomes a cluster sizing against concurrency rather than machine count, and an edition. Karl Basic where you want the hypervisor and orchestrator alone, Karl Flex where desktops are part of the plan, Karl DaaS where the workspace layer has to sit on infrastructure you already have.
Deploy
The control plane goes in on hardware we run or hardware you own, with clusters, networks, storage and instance pools configured together. Ceph or ZFS carries the persistent volumes, so the state that has to survive a session is never inside the instance that holds it.
Migrate In Waves
Workloads move a wave at a time, with the old platform still running underneath until each wave is signed off. Nothing is cut over on a single evening, and the rollback is the platform you have not switched off yet.
Operate
Patching, capacity review, upgrades and incident response either stay with your team or come to us as a managed layer. Either way the control plane, the data and the volumes stay yours.
Against Legacy Virtualisation
Almost every enquiry here arrives holding a renewal quote. These are the differences that change how the platform behaves, not just what it costs.
What A Workload Is
- Legacy Hypervisor Stack
- A virtual machine with a full operating system, existing whether or not anyone is using it
- Karl
- A Kubernetes-orchestrated instance that exists while it is needed and releases its resources when it is not
Sizing
- Legacy Hypervisor Stack
- Capacity reserved per machine, so the cluster is sized against a headcount
- Karl
- Capacity drawn on demand, so the cluster is sized against concurrency
After A Compromise
- Legacy Hypervisor Stack
- Isolate, investigate and repair a runtime nobody trusts any more
- Karl
- Terminate the instance and rebuild clean from the standard model, with persistent data untouched on mapped volumes
Desktop Delivery
- Legacy Hypervisor Stack
- A separate VDI product, with its own brokers, licensing and upgrade cycle
- Karl
- The same control plane, with the DaaS layer licensed when you want it
Attack Surface
- Legacy Hypervisor Stack
- Long-lived machines accumulating state, drift and whatever arrived last month
- Karl
- A runtime that resets, so there is less left behind to find
Who Answers
- Legacy Hypervisor Stack
- A licence reseller, and a support contract with the vendor behind them
- Karl
- The engineers who sized the cluster, deployed it and operate it
What We Need From You
Five things, and a sizing comes back. None of them require a meeting first.
Your Current Inventory
How many machines, what each is for, and what they actually consume against what they reserve. An export from your existing platform is enough to start.
Peak Concurrency
How many of those workloads are genuinely active at once, and when. This is the number a Karl cluster is sized against, and it is usually far below the machine count.
Your Licence Position
What you hold today and when it renews. The renewal date decides whether this is a migration to plan calmly or a deadline to work back from.
Persistence Requirements
Which data and profiles have to survive a session, and where they live now. That becomes the mapped volume layout, and it is what makes a disposable runtime safe.
A Named Contact
One person who can approve the sizing and the migration order, so the work does not stall waiting on a signature.
Send those five and a sizing comes back with an edition, a migration order and a figure against it. An engineer picks it up, not a form.
Start An EnquiryQuestions About Karl Virtualization
The technical ones that come up before anyone asks for a figure.
No. Karl is a virtualisation platform first: the hypervisor and orchestrator are the Karl Basic edition, and they run server workloads with no desktop layer involved at all. DaaS is a layer you licence on top when you want it, which is the point. The same control plane does both instead of you running a virtualisation estate and a separate VDI estate side by side.
Yes. Karl carries a VM component alongside the instance model, so a workload that genuinely needs a long-lived machine with its own kernel gets one. The elastic instance model is what you move to where it fits, not a constraint applied to everything on day one.
Nothing. Persistence is deliberately kept outside the runtime: data and profiles sit on mapped volumes and services, so an instance can be terminated at any point without losing work. That separation is what makes the rebuild-on-anomaly model safe rather than alarming.
KARL's published internal benchmark is a fully configured instance ready again in about fifty three seconds, and a compromised one torn down in about six. We will measure it on your own workloads during a pilot rather than ask you to take a vendor number on trust.
No. Karl runs on bare metal, private cloud and the major public clouds, so it can go on infrastructure you already own. Most of our deployments land on our own hardware because that is what people are asking us for, but the platform does not require it.
We are the delivery and support layer. We size the cluster, deploy the control plane, lay out storage and persistence, integrate sign-on through our own identity layer, run the migration in waves and operate the result. KARL builds the platform; we are the people you call about it.
See Karl On Your Own Cluster
Send us what you run on virtualisation today, licences included. We will come back with a Karl sizing, an edition, and what the migration would actually look like.
Sales
- New servers, identity rollouts and workstation pilots
- Specifications, sizing and monthly pricing
- Moving an existing estate across to us
sales@infinite-networks.net
Support
- Anything already running with us
- Incidents, capacity changes and restores
- Accounts, access and policy changes
support@infinite-networks.net
Office
#002, Ceaser's CastleSainikpuri, Defence Colony
Hyderabad 500 094
India