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ThunderAgent: 2x Faster Agentic Inference for Synthetic Data Generation at Scale

Together

We introduce Thunder Agent, a system for high throughput agentic inference. By introducing a novel program abstraction for agentic LLM request scheduling, Thunder Agent achieves up to 2.5× higher single-node throughput in our synthetic data generation pipeline, and delivers 2.4× speedup on an 8-node cluster with near-linear throughput scaling with respect to GPU nodes.

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