NVIDIA PAIR Virtual Inference Router Expands Available Compute on Your Local Network NVIDIA PAIR 虚拟推理路由器扩展本地网络可用计算

Multi-agent AI systems enable a lead agent to decompose complex tasks into smaller subtasks assigned to specialized subagents Users are increasingly running multiple agent sessions simultaneously for parallel task execution Multi-agent workflows are becoming mainstream for handling complex, multi-step tasks A breadth-first approach to task delegation improves overall task completion speed The shift from single-agent to multi-agent architectures represents a key evolution in AI agent design AI agents通过协作完成复杂任务，lead agent可将任务分解并分配给专门的subagents 用户开始同时运行多个agent会话，多agent工作流日益普及 采用广度优先的并行执行方法可显著提升任务完成速度 多agent协作模式代表了AI应用从单点执行向系统化工作流的演进方向