Performance Assurance Program
Chutes.ai's auto-scaling mechanism avoids service degradation:
- Horizontal expansion: Automatically increase compute nodes to cope with traffic spikes
- load balancing: Intelligent allocation of requests to optimal nodes
- Pre-Configured Options: Minimum standby instance can be set to reduce cold starts
Optimization Recommendations::
- Enable Auto Extension in Settings
- Configure reasonable concurrency threshold trigger conditions
- Reduce Duplicate Calculations with Content Caching
- Monitor dashboard to adjust the ratio of pre-positioned resources
This answer comes from the articleChutes: a serverless computing platform for deploying and scaling open source AI modelsThe
May not be reproduced without permission:AI productivity tools " How to prevent AI inference services from experiencing response delays at high concurrency?
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