> ## 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.

# Quickstart

> You can easily train your model with Trainy: Konduktor with just a few simple steps. Before starting, make sure you’ve set up your account

## 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!

<Tip>
  **AI-Assisted Workflows:** Install the [Konduktor Skills](https://github.com/Trainy-ai/konduktor-skills) plugin to get AI help drafting task YAMLs, writing Python SDK code, and constructing CLI commands directly in your editor.

  ```bash theme={null}
  npx skills add Trainy-ai/konduktor-skills
  ```
</Tip>

## 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`