VaultLayer vs RunPod
RunPod is a GPU cloud where you rent pods and clusters by the hour. VaultLayer is a training control plane that wraps your training command and handles the parts a raw pod leaves to you: provisioning, checkpoint sync, and resume after an interruption — on your own connected cloud account.
At a glance
| VaultLayer | RunPod (directly) | |
|---|---|---|
| What it is | Managed training control plane | GPU cloud — rent pods and clusters |
| Job submission | vl run train.py | Launch a pod, set up your script on it |
| Checkpoint sync | Built in, automatic | You wire it to storage yourself |
| After a crash | Auto-resume from the last checkpoint | Fresh pod; you write resume logic |
| Your account | Keep it — BYOC runs on your own cloud account | Direct with RunPod |
Your account, less glue
VaultLayer doesn't replace RunPod — it's the reliability layer on top. Connect your own RunPod account with vl connect runpod and keep your pricing, or use external capacity through the same CLI; either way vl run handles provisioning, checkpointing, and recovery. For the broader case against renting any GPU cloud directly, see VaultLayer vs renting GPUs directly.
Frequently asked questions
Does VaultLayer replace RunPod?
No. VaultLayer is the reliability layer on top. You can connect your own RunPod account (BYOC) and keep your contract, while VaultLayer adds orchestration, checkpointing, and automatic recovery.
Can I use my own RunPod account?
Yes. Run vl connect runpod to connect it, then vl run --byoc train.py runs on your own RunPod account with no per-run charge from VaultLayer.
Keep every training job moving.
Sign up, install the CLI, and submit your first training job in minutes — on your own cloud or elastic GPU capacity.
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