Modal Scaling and Performance

Use this skill when tuning autoscaler behavior, reducing cold start latency, configuring concurrency, enabling dynamic batching, or using memory snapshots for faster starts.

When to Use This Skill

• Cold starts are too slow for your use case
• Optimizing cost vs latency trade-offs
• Configuring container scaling limits
• Enabling concurrent input processing per container
• Using dynamic batching for inference workloads
• Using memory snapshots for sub-second cold starts
• High-performance LLM inference optimization
• Dynamic function configuration at runtime
• Understanding Modal's autoscaler behavior

Autoscaler Basics