New Advances for Cross-Platform AI Applications in Docker
Offered By: CNCF [Cloud Native Computing Foundation] via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore cutting-edge techniques for enhancing cross-platform GPU/AI workloads in container ecosystems, focusing on Docker's integration of the WebGPU standard in this 36-minute conference talk. Learn how the WebGPU standard enables containerized applications to access host GPUs and AI accelerators through a versatile API, eliminating the need for Docker images tailored to specific GPU vendors and proprietary drivers. Watch a demonstration of the WasmEdge project leveraging WebGPU to create portable LLM inference applications in Rust, and see how Docker seamlessly manages and orchestrates these applications. Gain insights into the future of cross-platform AI development and deployment using Docker, and understand the potential impact on streamlining AI workflows across different hardware configurations.
Syllabus
New Advances for Cross-Platform AI Applications in Docker | Docker中跨平台AI应用程序的新进展 - Michael Yuan
Taught by
CNCF [Cloud Native Computing Foundation]
Related Courses
Cloud Native Certified Kubernetes Administrator (CKA) (Legacy)A Cloud Guru Linux Daemon with Go: Build a Webpage Database Crawler
Coursera Project Network via Coursera Kubernetes: Cloud Native Ecosystem
LinkedIn Learning Kubernetes: Cloud Native Ecosystem
LinkedIn Learning 2021 Open Source Program Trends - Key Findings and Insights
Linux Foundation via YouTube