用 AI 智能体和 NVIDIA Isaac ROS 加速 ROS 2 节点
Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS
NVIDIA 介绍如何借助 AI 智能体与 Isaac ROS 加速 ROS 2 节点：单有快速 CUDA kernel 并不足以让 ROS 2 graph 变快，消息在节点间传递时仍可能在 CPU 内存中序列化或拷贝，抵消感知与 AI 负载留在 GPU 上的收益。方案依托上游抽象与 NVIDIA 近期推出的 CUDA buffer 后端来消除这一瓶颈。
GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between...
GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between nodes, they may continue to be serialized or copied through CPU memory, eroding the benefits of keeping perception and AI workloads on the GPU (Figure 1). With the upstream abstraction and the CUDA buffer backend that NVIDIA recently…
来源：NVIDIA Developer Blog · developer.nvidia.com