ThunderAgent: 2x Faster Agentic Inference for Synthetic Data Generation at Scale
Together AI has introduced ThunderAgent, a program-aware scheduler for agentic inference that treats workflows as schedulable programs to eliminate KV cache thrashing. ThunderAgent delivers more than 2x single-node throughput and near-linear multi-node scaling for synthetic data generation.
Why it matters: ThunderAgent enables faster and more scalable agentic inference, improving the efficiency of synthetic data generation workflows.
Full story at: Together AI Blog ↗