Infrastructure execution for AI workloads

Build what’s next.
We handle
the compute.

Run compute from your coding agent.

Your work, in motion
Your command in. Your results out.Illustrated workflow
Backed byY Combinator

Built by engineers previously at

Meet the founders
  • OpenAI
  • Citadel Securities
  • Google
  • Snowflake
  • Scale AI
  • AWS
  • Cadence
  • Uber
  • Coinbase
  • Capital One

Your next workload starts here.

Training

Run pre-training, post-training, and fine-tuning, including LoRA, with your own code and data.

Agents

Sandbox preview

Run agents in sandboxes, execute your evals, and support longer tasks with configurable limits.

Reinforcement learning

Explore task environments, run training templates, and compare evaluation results.

Inference

Coming soon

A planned home for running models on new inputs, from batch predictions to interactive responses.

NODUS / COMPUTE COSTS

GPU and CPU compute costs.

16 GPU models. 6 CPU sizes. Modal comparisons where listed.

$2.600/ hour

H100 SXM · 80 GB VRAM

Nodus supply$2.600/h
Modal$3.949/h
34%lower supply cost

Built to keep your work moving.

Explore how Nodus runs your workload

Your code has requirements. Nodus matches available compute to your image, memory and resources.

How matching works

Follow usage as your workload runs. Setup, runtime, and recovery all count toward finishing.

Costs and billing

Restart interrupted work from saved files. Your program writes and reloads its own checkpoints to resume progress.

How recovery works
NODUS / EXECUTIONIllustrative run
01 / MATCH

A place for your code to run.

Your requirements in. Compatible compute out.
02 / COST

The whole run, in view.

Setup and recovery are part of the cost, too.
03 / COMPLETION

A restart with a way back.

Nodus restores files. Your program reloads the checkpoint.

Less infrastructure between you and your idea.

Let’s see what you build.

Run your first workload