Workers
Scale to zeroEphemeral batch compute
Run batch workloads as ephemeral containers that start instantly and terminate on exit. Spawn dozens of parallel workers from your server code, mount shared volumes for feature caches, and get exit codes and logs back — no infrastructure to manage. Pay only for the compute you use.
Quick Start
Build and push your worker image to registry.sylphx.com
Call sylphx.workers.run() with image, command, and resources
Optionally mount a shared volume for data sharing between workers
Poll sylphx.workers.get(id) or use wait() to get exit code and logs
Documentation
Key Concepts
Getting Started
Follow the quick start guide to set up this service.
Configuration
Configure the service using environment variables or the dashboard.
API Keys
Use your API key to authenticate requests to this service.
SDK Methods
| Method | Description |
|---|---|
sylphx.[service].[method]() | See documentation for available methods |
Need more details?
Check out our complete documentation for in-depth guides and tutorials.
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