Inventory + lifecycle
Sites, clusters, nodes, accelerators, storage, network and operational state.
The cloud operating layer for datacenters
LayerOne gives infrastructure operators one software layer to onboard the estate, launch cloud and GPU services, and let customers self-serve under their brand.
For datacenter, colocation, telco and GPU operators
LayerOne gives the operator a shared operating model before the first customer is invited in. Scope the estate, choose the offer, and expand when the business is ready.
Start with the estate and the first service you want to commercialize. The briefing defines the boundaries, responsibilities and next proof point.
Agree the sites, clusters, resource pools, tenancy boundaries and systems that belong in the first operating scope.
Bring compute, GPU, storage and network into one governed inventory with health and availability in view.
Define services, quotas, policy, plans and branding, then open a customer portal for the audience you choose.
Add services, sites and integrations behind the same control model while usage, support and billing stay connected.
The operator console is where your team onboards clusters and the whole datacenter and runs the cloud business. The customer portal is what your end clients log in to — under your brand.
Onboard clusters and the whole datacenter, define what you sell, govern tenants, meter and invoice — one control plane for the estate you run.
The cloud your customers use, under your brand: they sign up, provision, organise teams and projects, and see usage and invoices — without a ticket in between.
LayerOne connects the physical estate to operations, the service catalogue, customer self-service and the commercial record behind every invoice.
LayerOne sits above the estate and connects infrastructure, service delivery and the commercial record. The exact integration scope is agreed around your systems and operating responsibilities.
No logo wall, no assumed stack: a serious deployment starts by documenting what you already run and what must remain under operator control.
Sites, clusters, nodes, accelerators, storage, network and operational state.
Capacity, placement, reservations, quotas and accelerator-aware services.
VMs, Kubernetes, managed services and approved customer offers.
Projects, access, APIs, private networks, addresses and policy boundaries.
Plans, metering, budgets, invoices and finance-ready records.
Repeatable workflows, role separation, service context and accountable change.
Run infrastructure, deliver managed services, govern tenants and turn usage into revenue—from one operator-owned control plane.
Operator command center
Infrastructure, services, customers and revenue in one view.
The most useful first conversation starts with your estate and the decision you need to make—not with a generic feature tour. Choose the path closest to the work ahead.
For leaders deciding what to launch, where control should stay and how to phase the operating model.
For product and commercial teams defining services, plans, quotas, usage and the branded customer journey.
For platform and infrastructure teams working through sites, nodes, GPUs, networks, identity and deployment boundaries.
A first conversation should produce a shared scope, not a generic software tour. Use the product pages to prepare the operator, customer and sovereignty questions around your estate.
See inventory, capacity, tenants, service catalogue, monitoring, metering and billing from the operator side.
See datacenter operationsSee the portal experience for compute, GPU, Kubernetes, projects, usage and APIs under the operator brand.
See the customer cloudRead how licensed software, deployment location, customer ownership and jurisdiction shape the model.
Read sovereignty principlesWhatever workload your estate carries, the gap is the same: the software layer between your hardware and a paying customer.
LayerOne is a software layer, not a rival cloud. Your customers stay yours, your brand is on the portal, and the margin stays on your side of the table.
Deploy across the CPU, GPU, storage, and network already in your racks — one site or many. No specific vendor's metal required, no capacity to re-buy.
Accelerator scheduling, isolation, and metering are first-class from day one. AI datacenters get a real product, not a CPU cloud with GPUs stapled to the side.
LayerOne is the software layer that turns your datacenter into a cloud provider. Book an enterprise demo or start a partner conversation — every deployment is scoped to your nodes, GPUs and support needs, so pricing is quoted, never guessed.