Rust

AI Inference for Real-time Data Streams with WasmEdge and YoMo

YoMo is a programming framework enabling developers to build a distributed cloud system (Geo-Distributed Cloud System). YoMo's communication layer is made on top of the QUIC protocol, which brings high-speed data transmission. In addition, it has a built-in Streaming Serverless “streaming function”, which significantly improves the development experience of distributed cloud systems. The distributed cloud system built by YoMo provides an ultra-high-speed communication mechanism between near-field computing power and terminals. It has a wide range of use cases in Metaverse, VR/AR, IoT, etc.…

Extend your Golang app with embedded WebAssembly functions in WasmEdge

The GO programming language (Golang) is an easy-to-use and secure programming language that compiles into high-performance native applications. It is a very popular choice for writing software infrastructure and frameworks. A key requirement for software frameworks is the ability for users to extend and customize it with their own code. However, in Golang, adding user-defined functions or extensions to an existing app is not easy. Oftentimes, you need to integrate at the source code level by combining the source code for the framework and the user-defined functions.…

Manage WebAssembly Apps in WasmEdge Using Docker Tools

Developers can leverage Docker tools such as the DockerHub and CRI-O to deploy, manage, and run lightweight WebAssembly applications in WasmEdge. While the WebAssembly function could be written in a number of programing languages, Rust is by far the safest and fastest choice for WebAssembly. WasmEdge, an advanced WebAssembly runtime hosted by the CNCF (Cloud Native Computing Foundation), is an execution sandbox for Edge Computing applications. While WebAssembly was initially invented as a runtime for browser applications, its lightweight and high-performance sandbox design has made it an appealing choice as a general-purpose application container.…

Second State joins the Autoware Foundation

Second State has joined the Autoware Foundation as an industry member. Through collaboration with the Foundation and member organizations, Second State aims to create and promote an open-source virtualization runtime for Software Defined Vehicles (SDVs). According to a recent paper on IEEE Spectrum, a typical car has 50+ software vendors. Traditional automotive engineering keeps those heterogeneous software components safe via hardware isolation. That is to enclose each vendor’s software in its own hardware known as an ECU.…

🥳 WasmEdge (formerly SSVM) is now a CNCF Project

The WasmEdge Runtime (formerly SSVM) is a lightweight and high-performance WebAssembly (WASM) VM optimized for edge computing. It is widely used in scenarios ranging from cloud serverless functions, SaaS, blockchain smart contracts, IoT, to automotive real time applications. WasmEdge has recently been accepted by the CNCF Foundation as a sandbox project, which is the world's first official CNCF WebAssembly runtime project. We envision that it will fill an important role in CNCF’s open source cloud computing landscape as a mission critical lightweight runtime for edge clouds.…

Deploying Tensorflow models in production with less than 50 lines of code

Serverless Tensorflow functions in public clouds For software developers and students, artificial intelligence pays. In 2021, the average annual salary for Tensorflow (a popular AI framework) developers is $148,508. Skills in artificial intelligence are now mandatory in even entry level programming jobs. In fact, it is quite easily to follow an online tutorial and train your own Tensorflow model for tasks such as image recognition and natural language processing. You only need some basic Python knowledge to do the training and then run the model for a demo.…

Serverless AI functions on Tencent Cloud

Tencent is a leading serverless infrastructure provider in the public cloud. With the WasmEdge custom runtime for Tencent Serverless Cloud Function (SCF), you can write a few lines of simple code to turn any Tensorflow model into a serverless function and then offer it as a web service. A template project containing source code and configuration files is available here. Out of the box, you can deploy the template to Tencent Cloud and have a working web app for image classification.…

Serverless Functions in Rust Challenge #1

Learn how to create simple yet high performance serverless functions, for media processing, machine learning, and AI inference, in Rust. Everyone gets a swag bag full of Serverless goodies for completing the challenges. In addition, you will receive a digital certificate and public Github commits to demonstrate your skills of Rust and serverless computing. Create a serverless function in Rust First, please review the Getting Started Guide to learn the basic concepts.…

Access commands and programs in the host operating system

WASI enables WebAssembly programs to call standard library functions in the host operating system. It does so through a fine-grained security model known as “capability-based security”. The WebAssembly VM owner can grant access to host system resources when the VM starts up. The program cannot access any resources (e.g., file folders) that are not explicitly allowed. Now, why limit ourselves to standard library functions? The same approach can be used to call just any host functions from WebAssembly.…

A WASI-like extension for Tensorflow

AI inference is a computationally intensive task that could benefit greatly from the speed of Rust and WebAssembly. However, the standard WebAssembly sandbox provides very limited access to the native OS and hardware, such as multi-core CPUs, GPU and specialized AI inference chips. It is not ideal for the AI workload. The popular WebAssembly System Interface (WASI) provides a design pattern for sandboxed WebAssembly programs to securely access native host functions.…