Resource management frameworks

Integrates with your stack — whatever it is

Slurm

Job- and resource-level accounting for the world's most widely deployed HPC workload manager.

HEAppE

Middleware-level metering for HPC-as-a-Service access to supercomputing centres.

OpenStack logo

OpenStack

Full IaaS coverage: compute, networking, block & object storage, floating IPs and more.

OpenNebula logo

OpenNebula

Metering across virtual datacenters, clusters and edge deployments.

Kubernetes logo

Kubernetes

Container- and namespace-level usage for cloud-native and GPU-accelerated workloads.

Bespoke frameworks

A flexible collector model integrates with any custom or in-house management framework.

Metered assets

Real and virtual resources, all accounted for

GPU clusters

Accelerator pools by time, share or capacity.

CPU cores

Core-hours across nodes and partitions.

Networking

Bandwidth, gateways, virtual networks.

Storage

Block, object and parallel filesystems.

IP addresses

Floating and reserved address pools.

Firewalls

Security appliances and rule sets.

Docker logo

Containers & VMs

Virtualized workloads at any density.

Quantum & LLM

QPU access and token-based AI usage.

How it works

Monitoring → Metering → Billing

A single, event-driven pipeline carries usage from raw signal all the way to an auditable invoice — built to be arbitrarily scalable at every stage.

Raw signal 01 Monitoring 02 Metering 03 Accounting 04 Rating 05 Charging $ 06 Billing Clear invoice

Monitoring & Metering

Collectors gather usage records from every integrated framework and normalize them into a common model.

Accounting & Rating

Usage is aggregated per account, project and resource, then priced against flexible rating plans.

Charging & Billing

Charges are applied to credit or budget models and rendered into clear, transparent invoices.

Architecture

Designed to scale, not to break

A modular, service-oriented architecture with an event-streaming backbone lets each stage scale independently. Add collectors, raise throughput, or onboard new resource types without re-architecting — the same design that meters a single lab cluster tracks hundreds of millions of resources on an exascale system.

  • Event-driven
  • Horizontally scalable
  • Pluggable collectors
  • API-first
IngestCollectors & events
ProcessMetering & rating engine
DeliverCharging, billing & dashboards
The frontier

Quantum & sovereign AI

Cyclops is already being integrated to monetize quantum computing platforms and to perform token-based monitoring of LLM usage inside sovereign datacenters — extending trusted, auditable accounting to the newest classes of compute.

Quantum platforms

Meter and bill QPU access alongside classical resources.

LLM token accounting

Per-token monitoring for sovereign and regulated AI.

Tell us about your infrastructure

Whichever frameworks you run, we can meter and monetize them.

Talk to us