Resource network

Compute

General-purpose CPU capacity — the work that does not need a GPU and should not pay for one.

Metered in vCPU-seconds

Where it can run

The same resource, the same meter, three answers to “whose machine is this?” You choose per workload, and you can move a workload inward when the rules tighten.

On your device

Available

Inside your gram

Available

On a stranger’s machine — not available

Available

What is proven — and what is not

Each node benchmarks itself and signs the result with its own key. Where a benchmark does not exist yet, the node says so and emits nothing in its place. So do we.

Signed metric

cpu.throughput

Unit

hashes/s

Benchmarked and signed

How it is measured

The node hashes a fixed 1 MB buffer with SHA-256 for a fixed duration and signs the throughput it achieved.

What this does not tell you

Single-threaded by design, so the number is comparable across machines regardless of core count. It is not a whole-machine throughput figure, and we do not publish one, because we do not yet measure one.

Why Compute is its own network

Most workloads are not model training. Rendering, analysis, transcoding and everything a normal institution runs are CPU-bound, and pricing them against a GPU SKU is how cloud bills get absurd.

When it breaks

Free on your own hardware. The meter only runs when you consume someone else’s.

There is no 24/7 operations centre, because we do not employ one. Instead a node that cannot prove it is healthy is evicted from the ring rather than quietly serving your work. Fail-closed, not fail-silent.

How you leave

Standard containers on k3s. Nothing to port.

How it is delivered

Every resource above reaches your workload through the same substrate, whichever ring it was drawn from.

Kubernetes, on every node

Each node runs k3s. One orchestration layer schedules all seven resources, so a workload moves between rings without being rewritten.

Virtual servers, when containers will not do

Workloads that cannot be containerised run as virtual machines on the same cluster, through the open-source KubeVirt project. Same scheduler, same meter.

Nothing proprietary in the exit

Standard containers, standard VMs, content-addressed objects, exportable receipts. The cost of leaving is the reason to trust the platform.

What you are billed for

Compute is metered in vCPU-seconds. Each unit of work produces a receipt naming the node that performed it and the price it was charged at, on the one ledger the whole platform shares. We publish no hourly rate table on this page, because a price is meaningless without the signed unit it is counting.

See how we price compute →

Tell us what the workload is.

We will tell you which ring it belongs in, what it will be metered in, and what we have not measured yet. We scope before you pay.