论文标题
云本地机器人应用程序，gpu在kubernetes上共享
Cloud Native Robotic Applications with GPU Sharing on Kubernetes
论文作者
论文摘要
在本文中，我们讨论了我们在Zhaw教授机器人应用程序编程课程的经验，结合了Kubernetes（K8S）群集和真实，异构，机器人硬件的使用。我们从学生的无缝模拟体验以及我们与网络和共享GPU遇到的主要缺点方面讨论了解决方案的主要优势，以支持深度学习工作负载。我们描述了当前和预见的替代方案，以避免将来的课程版本中的这些缺点，并提出了一种更具云的方法来在K8S群集上部署多个机器人技术应用程序。
In this paper we discuss our experience in teaching the Robotic Applications Programming course at ZHAW combining the use of a Kubernetes (k8s) cluster and real, heterogeneous, robotic hardware. We discuss the main advantages of our solutions in terms of seamless simulation-to-real experience for students and the main shortcomings we encountered with networking and sharing GPUs to support deep learning workloads. We describe the current and foreseen alternatives to avoid these drawbacks in future course editions and propose a more cloud-native approach to deploying multiple robotics applications on a k8s cluster.
