BYOC GPU training: run AI training on your own cloud

BYOC — bring your own cloud — means your training jobs run on compute you already control: your cloud account, reserved instances, or a committed GPU contract. VaultLayer is a BYOC-first training control plane that adds the reliability layer on top, so your own capacity behaves like a managed platform.

What BYOC GPU training means

With BYOC, you keep your existing compute relationship — pricing, account, and provider — and VaultLayer manages the training operations around it: provisioning, monitoring, checkpoint sync, and resume-on-failure. You are not handing your workload to a managed pool; the job runs on your hardware, and a BYOC job is never routed off your own cloud.

Because the compute is billed by your own provider under your contract, a BYOC run carries no per-run charge from VaultLayer — you pay for the reliability layer, not the GPU minutes.

How it works with VaultLayer

Connect a cloud once, then run any training script unchanged:

vl connect aws            # or gcp, azure, lambda-labs, runpod, vast-ai
vl run --byoc python train.py

VaultLayer provisions on your account, checkpoints to your bucket, streams logs back to your terminal, and — if the host fails or a GPU is reclaimed — resumes from the last checkpoint. --byoc fails closed with a hard error if no compute credentials are set; it never silently falls back to a managed pool.

Which clouds and contracts work

• Hyperscalers via your own account: AWS, GCP, Azure (STS role or keys).
• GPU clouds: Lambda Labs, RunPod, Vast.ai.
• Reserved instances, committed-use discounts, and credit grants you already hold.

Your credentials are scoped to your account, used only to run your jobs, and never printed in logs.

Why teams run BYOC

Funded AI teams often already have cloud credits, reserved instances, or a GPU contract — but turning that raw capacity into a reliable training platform means writing and maintaining provisioning scripts, health checks, storage sync, and resume logic for every workflow. VaultLayer packages that into one control plane, and adds elastic external GPU capacity only when your own fleet is full.

Frequently asked questions