No Docker or Kubernetes knowledge needed. The installer sets up the whole container stack for you — on macOS and Linux it even installs Docker if it’s missing. You just need a machine.
Before you start
That’s enough to run a workspace. To train on this machine, give it 4 CPU · 16 GB RAM · 50 GB disk — a single training job alone reserves ~8 GB. The installer checks before it starts: below the minimum it stops on Linux (on macOS/Windows it warns — raise Docker Desktop’s memory in Settings → Resources).
1
Register your workspace
On the clients page, click + and note your Client ID and password — you’ll enter them during install.
2
Run the installer
- macOS / Linux
- Windows (PowerShell as admin)
~/.tracebloc and Docker. Safe to re-run anytime.Prefer to read the script before running it?
Prefer to read the script before running it?
Every install script is open source. Download, inspect, then run:Source: github.com/tracebloc/client. Release binaries are cosign-signed, so you can verify their signature before trusting them.
3
Verify it's connected
mysql-client, …-jobs-manager, …-requests-proxy) in Running state. Then open your clients page — your workspace should show Online.What changed on your machine — only Docker and
~/.tracebloc. To remove everything: k3d cluster delete tracebloc.Locked-down environment?
If your security policy forbids piping scripts from the internet, skip the one-liner and deploy with Helm instead — same result, full control over every step.What’s next
Stage a dataset
Ingest data so contributors can build models against it.
Create a use case
Define a task and invite contributors.