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Documentation Index

Fetch the complete documentation index at: https://docs.trainy.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Run “Hello Konduktor”

To submit your first run, copy the below yaml into a file called ‘hello_konduktor.yaml’. 
name: hello-world

num_nodes: 1 # scale up your worklaod

resources:
  cpus: 1 # number of cpu cores
  memory: 10 # memory request in GiB (int)
  accelerators: H100:8
  image_id: ubuntu
  labels:
    kueue.x-k8s.io/queue-name: user-queue
    maxRunDurationSeconds: "3200"

run: |
  # print commands ran and exit immediately 
  # with an error if there's any errors
  set -ex
  sleep 2
  echo "Hello Konduktor"
If you see “Hello World!”, congratulations on setting up Konduktor!
AI-Assisted Workflows: Install the Konduktor Skills plugin to get AI help drafting task YAMLs, writing Python SDK code, and constructing CLI commands directly in your editor.
npx skills add Trainy-ai/konduktor-skills

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Requirements

We currently have the following requirements for container images for jobs.
  • Containers must be Debian/Ubuntu based and use apt as a package manager
  • have bash in $PATH
  • permit login/run as root