YoVDO

Machine Learning in Fastly's Compute@Edge

Offered By: Linux Foundation via YouTube

Tags

Machine Learning Courses PyTorch Courses WebAssembly Courses Classification Courses OpenVINO Courses ONNX Courses KServe Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the integration of machine learning models in Fastly's Compute@Edge environment through WebAssembly modules and wasi-nn in this conference talk. Discover the advancements made to enable efficient execution in a stateless FaaS environment, including extensions to the wasi-nn spec, revisions to host APIs, security-related tradeoff considerations, and the introduction of a new proxy backend based on the KServe protocol. Witness a demonstration of these functionalities through a Compute@Edge service utilizing OpenVINO, ONNX, and PyTorch for classification and generative AI applications.

Syllabus

Machine Learning in Fastly's Compute@Edge - Andrew Brown, Intel & Matthew Tamayo-Rios, Fastly


Taught by

Linux Foundation

Tags

Related Courses

Caffe2: Getting Started
Pluralsight
Despliegue de modelos de IA en IoT Edge con ONNX
Coursera Project Network via Coursera
Flux - The Elegant Machine Learning Library for Julia
The Julia Programming Language via YouTube
How to Convert Almost Any PyTorch Model to ONNX and Serve It Using Flask
Abhishek Thakur via YouTube
Productionizing Machine Learning with Apache Spark, MLflow and ONNX - Cloud Deployment Using SQL Server
Databricks via YouTube