Exploring Absurd: A Game-Changer for AI Workloads
I’ve been diving into Absurd, an experimental durable execution system crafted by Armin Ronacher, the mind behind Flask and Jinja. Though not production-ready, it’s a fascinating alternative for managing AI workloads with costly LLM API calls.
Key Features of Absurd:
- Checkpointing: Allows resuming tasks from the last completed step, preventing unnecessary costs.
- Self-Hostable: Utilizes existing PostgreSQL databases, avoiding the hassle of new infrastructure.
- Simplicity: Queues and tasks are managed in a single SQL file, streamlining operations.
Unlike traditional task queues that restart failed tasks, Absurd captures the state, providing resilience for time-consuming jobs.
When to Use Absurd:
- If your tasks often involve expensive API calls.
- When you prefer a self-hosted solution without complex orchestration needs.
Curious to see it in action? Check out my demo app here and explore the source code.
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If you find this intriguing, share your thoughts or experiences with Absurd and tag someone who needs to know!
