Empower WebAssembly ML Over Diverse AI Hardware Accelerators Outside the Browser
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore how WebAssembly can leverage diverse AI hardware accelerators outside the browser in this 32-minute conference talk. Learn about a backend interposer that enables WebAssembly to run on various AI accelerators, including GPUs and FPGAs, without requiring code changes to native WebAssembly applications. Discover the advantages of WebAssembly for modern applications, such as portability, small size, fast loading, and compatibility. Gain insights into how this technology can accelerate ML/AI workloads transparently, potentially improving performance across different hardware platforms.
Syllabus
Empower WebAssembly ML Over Diverse AI Hardware Accelerators Outside the Browser - Tiejun Chen
Taught by
Linux Foundation
Tags
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