The simplest way for humans
and agents to use compute.
Across providers. Across SKUs. Across workloads.
Quote a GPU. Run a function. Get a receipt. CLI or agent.
Example
$ compute run simple_mlp.py::train --gpu H100
- estimaterate locked · confirmation required
- provisionfresh H100-SXM requested
- ready80 GB HBM3 available
- stdoutstep 1/3 · loss 0.8421
- result{"status":"ok","artifact":"result.json"}
- terminatedmachine gone · receipt final
Provider usage$0.80
Platform fee$0.06
Total debit$0.86
Providers
SKUs
Workloads
- RunpodH100-SXMLive
- Hot AisleMI300X · 192 GBLive
- Vast.aiSpotLive · spot
- AWSTrainiumSoon
- Google CloudTPUSoon
Quickstart
First run.
- 01
Sign up
- 02
Buy credits
$10 minimum.
- 03
Install the CLI
macOS or Linux.
curl -fsSL https://compute.cx/install.sh | sh - 04
Run a function
compute run simple_mlp.py::train --gpu H100
Guides
Guides.
Fine-tune a 70B on your data
- What
- Train an open model on your data.
- When
- When the base model misses your format or domain.
- Run
70B fits on one MI300X.compute run mi300x_lora_finetune.py::finetune --gpu MI300X
Train from a reward signal
- What
- Improve a model you can score.
- When
- Ranking, reward models, reasoning policies.
- Run
Stay on --wait or read logs later.compute run rl.py::train --gpu MI300X
Score a dataset overnight
- What
- Run a model over a file.
- When
- Evals, embeddings, labels, synthetic data.
- Run
Billed while the machine exists.compute run batch_infer.py::generate --gpu MI300X
Pricing
Pass-through. Plus a simple fee.
You pay the provider's locked rate. We add a simple fee. Failed boot is $0.
See pricing