OpenBMB@OpenBMB · X面壁智能OpenBMB感谢@aijoey用MiniCPM5-1B构建后端智能体集群。128个并发智能体在DGX Spark上运行，通过vLLM连续批处理提供服务，每个智能体独立处理发票审核、退款路由、合规检查等8种业务队列。系统在1.48秒内跨智能体流式传输6604个chunks。该案例表明，1B模型的价值在于同时做出大量有用业务决策——用一群小型廉价worker并行清理队列。
Huge thanks to @aijoey for building back-office agent swarm with MiniCPM5-1B 👏
This is a fantastic real-world case of scaling small models into production-grade systems--moving beyond "model capability" into "practical multi-agent systems at scale".
We're especially impressed by the technical setup： 🔷128 concurrent agents on DGX Spark 🔷vLLM continuous batching for serving efficiency 🔷6，604 chunks streamed across agents in just 1.48s 🔷Clear demonstration of how a 1B model can power high-throughput， multi-agent workflows in parallel
Really impressive work on the back-office swarm setup and the 128-agent parallelization. Excited to see what else you build with MiniCPM in the future 🚀