Compute & GPU orchestration
CPU cloud and AI cloud from one platform.
Provision VMs, containers and Kubernetes across your nodes, with accelerator-aware scheduling that treats GPUs as first-class capacity — placed where the customer needs it, on the metal you already run.
What is included.
Virtual machines
A catalogue of machine sizes with block storage, ordered and resized by the customer in minutes.
Containers & Kubernetes
Ready-made clusters for the teams that ship pipelines and services, not infrastructure.
GPU capacity
Accelerators scheduled, isolated and metered as first-class resources, by the hour or by the month.
Multi-site placement
One control plane across sites and zones; capacity offered close to the customer.
Storage & network
Volumes, images, networks and addresses provisioned alongside compute, from the same catalogue.
Lifecycle
Create, scale, snapshot, migrate and retire — every step visible to the customer and logged for you.
Where this lives.
Every capability has an operator side and a customer side. Your team configures it in the operator console; your end clients use it in the customer portal.
- Add a cluster or a whole site and expose it as sellable capacity
- Watch utilisation per site, per node and per accelerator
- Reserve capacity for the customers who need dedicated environments
- Provision approved capacity without waiting on a ticket
- Scale up for a training run and release it after
- Automate the same steps through the API
Your infrastructure. Your customers. Your cloud.
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.