ThunderAgent
### TL;DR
ThunderAgent is a program-aware scheduling system designed to optimize high-throughput agentic inference. By treating agentic workflows as schedulable programs rather than independent requests, it effectively eliminates KV cache thrashing and improves multi-node scaling.
Key Insights & Metrics
Key Features
- Program-level scheduling to eliminate KV cache thrashing
- Global waiting queue for efficient multi-node load balancing
- Drop-in compatibility with OpenAI-compatible inference backends
- Near-linear throughput scaling across multi-node GPU clusters
- Support for existing optimizations like speculative decoding and quantization
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