Max
$169a month
8 agents at once and heavy builds on 8 cores
- vCPU
- 8
- RAM
- 16 GB
- disk
- 200 GB
- Internet
- 200 Mbit
- Terminals at once
- 8
Start the seven-hour job. Close the laptop
Backfills, scrapers, embedding runs and batch scripts keep going in a tab on your Compute, next to the database they feed. Max gives them 8 vCPU and 16 GB for $169 a month.
From $39 a month · Docker and sudo included · Cancel from the dashboard any time
Your laptop was never built for a seven-hour run
Close the lid and the job stops at batch 212 of 640. Leave it open and the laptop is hot, slow and tethered to a charger all day.
A cloud notebook times out. A bare VPS costs an evening of setup before the first row moves.
One long job
- 09:10
Start it in a tab
Run the script in a Shell terminal or the project's terminal. It is a tmux session on your Compute.
- 09:11
Walk away
Close the tab or the laptop, or lose the train Wi-Fi: the job keeps writing to the database in Docker next to it.
- 13:00
Glance at it from your phone
Open the dashboard on your phone and look at the tab: batch 320 of 640, on schedule.
- 16:01
Pick up the results
Query them in place, or export a table to a file and download it from the terminal's Files and previews panel.
Hours of work, none of it on your laptop
Hours of runtime, no charger
The job runs on your Compute's CPU and memory. Your laptop stays free for everything else.
Data next to the code
Postgres, Redis or Jupyter run in Docker right beside the job, so it never crosses the internet for its own data.
Disk for real datasets
200 GB on Max, up to 1,000 GB on Business Ultra. Keep raw dumps, parquet files and intermediate tables next to the job.
An agent on night watch
Hand the script to Codex or Claude Code: it runs it, reads the traceback when a batch fails and restarts from the last good one.
The size for this job
Max · $169
8 vCPU and 16 GB hold a heavy pandas job, its database and an agent in memory together. Lighter jobs fit on Pro.
- Compute
- etl
- Projects
- /work/pipeline
- Plan
- Max · 8 vCPU · 16 GB · 200 GB · $169/mo
- Agent
- Codex
- Tabs
- 2
- Services
- postgres:18 · jupyter
- Runs
- Around the clock, lid closed
Questions about this
Is there a GPU?
No, Compute is CPU and memory: up to 30 vCPU and 192 GB on Business Ultra. It fits ETL, scraping, backfills, API-based embedding runs and evaluation jobs. Train large models on a GPU cloud and let your Compute run everything around it.
What if the node reboots mid-job?
The job stops with the node. The terminal comes back by itself with its packages, Docker images and files in place, and what the job wrote to the project stays on the account disk. Give long jobs a resume point and start them again in the same terminal.
How do I get the results out?
Serve them at a preview URL, download a file from the terminal's Files and previews panel, or push them to your own storage straight from your Compute.
What this job uses
More jobs people run
Start the seven-hour job. Close the laptop
Pick a size, hand the agent the job and close the tab. Come back to finished work.
Get my ComputeYour first overnight run works, or your money back · Cancel from the dashboard; it runs to the end of the paid month