Machine Learning on Server Side with Julia and WASM

Julia is a high-performance programming language that has gained traction in the machine-learning community due to its simplicity and speed. The talk looks at how Julia can be used to build machine learning models on the server using WebAssembly (WASM) and the WebAssembly System Interface in this talk (WASI). The talk will go over the benefits of using WASM and WASI for building such as improved performance and security

As the demand for machine learning applications grows, so does the need for efficient and performant solutions. Julia is a high-performance programming language that has gained traction in the machine learning community due to its simplicity and speed. We will look at how Julia can be used to build machine learning models on the server using WebAssembly (WASM) and the WebAssembly System Interface in this talk (WASI). We will go over the benefits of using WASM and WASI for deployment, such as improved performance and security. In addition, we will demonstrate how to run Julia code on a WASM virtual machine and use WASI to interact with the underlying operating system. Attendees will have a better understanding of the subject by the end of this talk.

Table of Content:

1. Introduction to server side machine learning
2. How can Julia be used for machine learning
3. What is WebAssembly (WASM) and the WebAssembly System Interface (WASI)
4. how Julia can be used to build machine learning models on the server using WebAssembly (WASM) and the WebAssembly System Interface
5. Demonstration