Cloud & platform engineering
Bare-metal GPU cluster build
Accelerated hardware turned into a scheduled, shared, measured resource rather than a machine somebody logs into.
4–8 weeksTypical duration
The problem this solves
You bought GPUs, and now one team has them, the utilisation is unknown, and everyone else is still paying cloud prices for inference.
What you receive
Artefacts you can hold, and that you can accept or refuse — never a list of activities.
- The cluster built on the hardware, with the drivers, the device plugin and the accelerator operator installed
- Scheduling and quota policy, so capacity is shared by rule rather than by negotiation
- Per-workload accelerator utilisation and cost attribution
- The comparison, in numbers, between running a given workload here versus in the cloud
Also in cloud & platform engineering
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GitOps delivery pipeline
Declarative delivery where the repository is the source of truth and a rollback is a revert.