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For ML engineering teams, AI startups & research teams

Make sure every new Lambda GPU instance is set up right

The moment a new GPU instance launches on Lambda, WebRun checks whether an SSH key is attached and persistent storage is mounted, logs the result to Airtable for every instance, and emails you only when the SSH key or storage is missing.

  • No credit card
  • Under $0.01 per run
  • Cancel anytime
14,115 templates Safe automation No code
Runs automatically when a new instance is launched WebRun
1 Lambda check SSH key and storage
2 Airtable log the result
3 Gmail email on anything missing
Run a sample
In short

How do I make sure every new Lambda GPU instance has storage and SSH access configured?

WebRun checks every new Lambda GPU instance the moment it launches, confirming an SSH key is attached and persistent storage is mounted. It logs the result to Airtable for every instance and emails you only when the SSH key or storage is missing, so a training run never starts on an instance that will lose its work when terminated.

  • Every new GPU instance gets an SSH key and storage check automatically
  • A full setup record builds up in Airtable for every instance
  • You get an email only when a real safeguard is missing

Built for ML engineering teams · AI startups · research teams · platform engineers

Step by step

What does WebRun do on every run?

The exact actions WebRun takes, in order - in plain language, so you can adjust anything.

  1. WebRun signs in and gets to work

    Opens cloud.lambdalabs.com in a real browser with your saved login - no setup, no API keys.

  2. 1
    Lambda - check SSH key and storage
    lambdalabs.com
    WebRun in Lambda: check SSH key and storage
    WebRun opens Lambda to check SSH key and storage.
    • Open the new instance in the Lambda Cloud dashboard
    • Check whether an SSH key is attached and persistent storage is mounted
    • Record a pass or fail for each item

    Done when The new instance has a checked status for SSH key and storage.

  3. 2
    Airtable - log the result
    airtable.com How to Automate Airtable
    WebRun in Airtable: log the result
    WebRun opens Airtable to log the result.
    • Log the result as a new record with the instance type, region, and checklist outcome
    • Keep a running history of every instance launched

    Done when Every new instance this run has an Airtable record.

  4. 3
    Gmail - email on anything missing
    gmail.com How to Automate Gmail
    WebRun in Gmail: email on anything missing
    WebRun opens Gmail to email on anything missing.
    • If the SSH key or storage is missing, email you directly
    • Name the instance and the exact gap
    • Stay quiet when both items pass

    Done when You get an email only when a new instance is missing a safeguard.

Run settings

How is each run configured?

Starting pageWhere Chrome opens at the start of each run
cloud.lambdalabs.com
ScheduleRuns automatically on this cadence
Runs automatically when a new instance is launched
DeliveryHow each run's result reaches you
Setup checklist · Gmail
OutputWhat each run produces - A pass or fail checklist for SSH key and storage on every new GPU instance.
Checklist
Setup & safety

Secure by default

Connect once, stays signed in

WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.

Your credentials stay in your own private environment - WebRun never stores your passwords.
Strict Lockdown

Every action is checked against this policy before it runs.

Domains ALLOWLIST
Typed input ALLOW
Shell command BLOCK
File uploads BLOCK
Runs in a contained environment More on policies
Good to know

Questions, answered

Will it attach an SSH key or storage for me?

No. WebRun only checks and records the status. Attaching an SSH key or mounting persistent storage always stays a manual step in the Lambda Cloud dashboard.

Why does storage matter so much for a GPU instance?

Without persistent storage attached, anything saved on the instance is lost when it's terminated, so it's one of the two checks that actually protects your work.

Does it check every instance or just the largest ones?

Every instance. It runs the same checklist the moment any new GPU instance launches, regardless of its size.

Put this on autopilot.

Turn it on in minutes - or have our team set it up for you.