Cut GPU costs, with engineers by your side
We pinpoint where your GPU spend is leaking, then design and implement the fix — together.
Where is your GPU budget leaking?
Most AI teams can cut GPU costs by 30–70%.
Your GPU budget is leaking — for nothing
Over-provisioned training instances
Inference workers left running with no traffic
Spot and low-cost GPUs left unused due to ops overhead
Training and inference that survive spot interruptions
Keep spot's price advantage — Guppy absorbs the interruption risk.
Inference workers scale automatically with traffic
Workers spin up and down with request volume.
Run with one line — no complex infra
Engineers handle setup; you run with a single CLI command.
Run with one line — no complex infra
Engineers handle setup; you run with a single CLI command.
Run with one command
No yaml or network configuration required.
Local environment auto-replicated
Datasets and env vars synced to the remote.
Only what you need, only when you need it
Training reclaims when it finishes; inference scales down when idle.





Source the world's cheapest GPUs
Unified comparison across CSPs, neoclouds, and regional DCs — auto-matched to the lowest price.
How to get started
Get a free diagnosis of where your GPU budget is leaking
We review your current GPU usage together and deliver a report on where you can save.

