Documentation Index Fetch the complete documentation index at: https://hubify.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
hubify deploy Deploy experiments and scripts to GPU pods. This is the bridge between your local experiment definition and remote execution on high-end compute.
hubify deploy Deploy an experiment to a GPU pod.
Deploy a script to a pod
Deploy with config and data
Deploy to a new pod (auto-create)
Deploy an experiment by ID
hubify deploy \ --script run_mcmc.py \ --pod pod-abc1234
Options: Flag Description Default --script <path>Python script to execute Required (unless --experiment) --experiment <id>Deploy a defined experiment None --pod <pod-id>Target pod ID None (auto-creates if --gpu set) --gpu <type>GPU type for auto-created pod: h100, h200, a100, cpu None --config <path>Config file to upload alongside the script None --data <path>Data directory to sync to the pod None --timeout <duration>Max runtime (e.g., 4h, 30m) No limit --env <KEY=VALUE>Environment variable (repeatable) None --notifySend notification on completion false
When --gpu is provided without --pod, a new pod is created automatically. The pod is stopped (not terminated) when the experiment finishes if it was auto-created.
hubify deploy status Check the status of a deployment.
Check a specific deployment
List all active deployments
hubify deploy status DEP-001
DEPLOY ID EXPERIMENT POD STATUS ELAPSED GPU UTIL DEP-001 EXP-055 pod-abc1234 running 1h 32m 94% DEP-002 EXP-056 pod-o76k3jf running 45m 87% DEP-003 EXP-054 pod-def5678 complete 2h 15m --
Options: Flag Description Default --allShow all deployments (not just active) false--jsonOutput as JSON false
hubify deploy logs View logs from a deployment.
View deployment logs
Follow mode (stream)
Last N
hubify deploy logs DEP-001
[2026-04-14 10:42:01] Uploading run_mcmc.py to pod-abc1234... [2026-04-14 10:42:03] Uploading planck_bao.yaml... [2026-04-14 10:42:05] Starting execution... [2026-04-14 10:42:06] Running: python run_mcmc.py --config planck_bao.yaml [2026-04-14 10:45:12] Chain 1/6: 1,000/10,000 samples (R-hat: 1.45) [2026-04-14 10:52:30] Chain 1/6: 5,000/10,000 samples (R-hat: 1.12) [2026-04-14 11:01:44] Chain 1/6: 10,000/10,000 samples (R-hat: 1.03) CONVERGED
Options: Flag Description Default --followStream log output in real time false--tail <n>Show last N lines All --since <duration>Show logs since duration (e.g., 1h) All
hubify deploy cancel Cancel a running deployment.
hubify deploy cancel DEP-001
hubify deploy outputs Download outputs from a completed deployment.
Download all outputs
List outputs
hubify deploy outputs DEP-003 --download ./results/
FILE SIZE MODIFIED chain_samples.txt 142 MB 2026-04-14 12:57:15 posterior_plot.png 1.2 MB 2026-04-14 12:57:14 qc_report.json 4 KB 2026-04-14 12:57:15 convergence_diag.png 890 KB 2026-04-14 12:57:14
Typical Workflow # 1. Deploy an MCMC run to an H100 hubify deploy \ --script run_mcmc.py \ --config planck_bao.yaml \ --gpu h100 \ --timeout 4h \ --notify # 2. Monitor progress hubify deploy logs DEP-001 --follow # 3. Check GPU utilization hubify deploy status DEP-001 # 4. Download results when done hubify deploy outputs DEP-001 --download ./results/ # 5. Clean up hubify pod stop pod-abc1234
