SolutionsBy stage

Run the platform your models run on.

GPU node pools, queues, MLOps components, upgrades and incidents. AGENTIKO operates the platform under Fabbrica Italiana AI. It does not train or serve models.

Bare metal

GPU platform, Fabbrica Italiana AI

Krateo PlatformOpsMeasured on Krateo PlatformOps, the control plane AGENTIKO runs on.

02:00

queue telemetry reviewed nightly

AGENTIKOSource: Agentic Platform Operations.

Gated

every upgrade and fix

AGENTIKOSource: Agentic Platform Operations.

Expensive hardware, careful hands.

  1. GPU pools and queues

    Kueue, Kubeflow, llm-d and NVIDIA Dynamo, declared and governed.

  2. Upgrades as proposals

    Validated, approved and reversible.

  3. Capacity that learns

    Sizing and alert proposals from real usage.

Use cases for you.

Improve

The nightly review

AGENTIKOReads telemetry and the day’s incidents and returns alert, prompt and docs proposals.

A personThe team adopts what makes sense in the morning.

Improve

Size shared GPUs from real usage

AGENTIKOReads queue telemetry and proposes sizing and alert changes.

A personThe capacity planner adopts them.

All twenty use cases

Questions we hear.

Does AGENTIKO serve our models?

No. It runs the platform they run on.

Approve your first proposal.

On a hosted sandbox with a sample company loaded. No cluster or card needed.