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Empower Heterogeneous Edge AI Acceleration with Kubernetes

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Edge Computing Courses Artificial Intelligence Courses Machine Learning Courses Kubernetes Courses Hardware Acceleration Courses Heterogeneous Computing Courses

Course Description

Overview

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Explore a unified framework for empowering heterogeneous edge AI acceleration with Kubernetes in this conference talk by VMware experts. Delve into the challenges of managing diverse edge AI accelerators from various vendors, including Nvidia edge GPUs, Intel Movidius VPUs, and Google edge TPUs. Learn about key mechanisms such as extending Node Feature Discovery for automatic detection of edge AI accelerators, unifying device plugins for provisioning work nodes, introducing transparent backend accelerations to boost ML upstream frameworks, and attaching remote GPUs to edge devices. Gain insights into how this unified edge AI framework helps Kubernetes empower heterogeneous AI acceleration on the edge, addressing the emerging trends in edge computing and workload management.

Syllabus

Empower Heterogeneous Edge AI Acceleration with K8s - Tiejun Chen & Zitong Xu, VMware


Taught by

CNCF [Cloud Native Computing Foundation]

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