Code Engine on Code Engine Blog

NVIDIA B300 GPUs Now Available in IBM Cloud Code Engine Serverless Fleets

Tue, 26 May 2026 00:00:00 +0000

The AI landscape is moving at a breakneck pace, and today we are shifting into a new gear. We are thrilled to announce that NVIDIA B300 (Blackwell Ultra) GPUs are now also available in IBM Cloud Code Engine Serverless Fleets.

By bringing NVIDIA’s most powerful Blackwell-architecture GPU to our serverless platform, we are giving developers the ability to run the world’s most demanding reasoning models and massive-scale simulations without the burden of infrastructure management.

IBM Cloud Code Engine GitHub Action: Getting into the Cloud just got a lot easier!

Wed, 26 Nov 2025 00:00:00 +0000

Introduction
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IBM Cloud Code Engine is IBM’s fully managed, strategic serverless platform that lets you run container images, batch jobs, source code, and functions in the cloud — without worrying about infrastructure management or scalability. It’s designed to simplify cloud-native development so you can focus on building, your business logic, not managing infrastructure. To make the developer experience even smoother, we introduced the IBM Cloud Code Engine GitHub Action. This action allows you to automate the build and deployment of your apps, jobs, and functions directly to Code Engine from your GitHub workflows.

Upscaling Videos with IBM Cloud Code Engine Serverless Fleets

Tue, 07 Oct 2025 00:00:00 +0000

IBM Cloud Code Engine is IBM’s fully managed, strategic serverless platform that empowers developers to run container images, batch jobs, source code, and functions — all in one unified environment. It abstracts away the complexity of infrastructure management, automatically handling scaling, networking, and security so you can focus on building and deploying your applications. With the introduction of Serverless Fleets, IBM Cloud Code Engine now supports large-scale, parallel execution of run-to-completion tasks across multiple virtual machines — securely hosted within your own Virtual Private Cloud (VPC). This gives you the flexibility to define custom subnets and choose from a wide range of Virtual Server Instance (VSI) flavors, including GPU-enabled options, tailored to your workload’s performance needs. What sets Code Engine apart is its serverless nature — it abstracts away the operational complexity of infrastructure management. You don’t need to worry about provisioning, scaling, or securing the underlying compute resources. Instead, you can focus entirely on your application logic and task definitions, while Code Engine handles the orchestration behind the scenes. By running Code Engine Serverless Fleets in a single-tenant environment, you gain enhanced control over performance, security, and compliance. This architecture ensures that your workloads execute in isolated infrastructure, making it ideal for enterprise-grade use cases such as video processing, AI inference, and scientific computing — all with a streamlined developer experience. Check out the introduction to Code Engine Serverless Fleets or look at the documentation.

Why IBM Cloud Code Engine Is the Perfect Home for LinuxServer.io Applications

Mon, 29 Sep 2025 00:00:00 +0000

LinuxServer.io is a global community of open-source enthusiasts who maintain one of the most extensive collections of standardized Docker images. These images are designed with simplicity, consistency, and transparency in mind — making them ideal for everyone from curious beginners to seasoned self-hosters. Whether you’re looking to run a media server, a productivity tool, or a creative application, LinuxServer.io offers a rich catalog of ready-to-use containers that are well-documented and regularly updated. Just deploy an image, and you can access the application directly in your browser — no complex setup required.

Creating a IBM Cloud Code Engine Function Code Bundle FROM scratch

Mon, 04 Aug 2025 00:00:00 +0000

Have you ever wanted to create a Code Engine Function code bundle that runs as a Python or Node.js function on IBM Cloud Code Engine, without relying on the Code Engine CLI to build it?

This guide walks you through a manual method to create a Code Bundle, giving you more control over the build process. While this approach is not encouraged as it can lead to unexplained behaviours it’s ideal for experienced developers who need flexibility in how their functions are packaged and deployed.

Writing TypeScript Functions for IBM Cloud Code Engine

Mon, 04 Aug 2025 00:00:00 +0000

IBM Cloud Code Engine is IBM’s serverless platform that allows developers to run apps, jobs, and functions at scale — without the hassle of managing infrastructure. Among its workload types are functions, which currently support Node.js and Python runtimes. In this post, we’ll explore how to write a TypeScript function and deploy it as a Node.js function on IBM Cloud Code Engine. This approach lets you enjoy the benefits of TypeScript — like static typing and modern language features — while still running your function as JavaScript.

IBM Cloud Code Engine: Running Binaries inside the IBM Cloud Code Engine Function Runtimes

Thu, 30 Jan 2025 00:00:00 +0000

In this blog post, we’ll explore how you can use IBM Cloud Code Engine to run binaries inside the existing Node.js and Python runtimes.

IBM Cloud Code Engine is IBMs Strategic serverless compute platform that supports a variety of workloads including functions. A function is a stateless code snippet, that perform tasks as it is invoked by HTTP. For Functions, Code Engine currently supports two programming languages: Node.js and Python. But what if you prefer to use a different language?

IBM Cloud Code Engine: Deploying Apps, Jobs and Functions using GitHub Actions

Fri, 23 Feb 2024 00:00:00 +0000

Introduction:
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In the dynamic world of cloud computing, efficient deployment pipelines are a crucial part of a seamless development process. IBM Code Engine, a fully managed serverless offering, stands out by simplifying the deployment and running of Applications, Jobs, and Functions in the cloud at scale, eliminating the need for users to manage the underlying infrastructure.

To elevate the users development experience and workflow, we’ve introduced a dedicated GitHub Action designed to simplify the deployment process for GitHub users leveraging GitHub Actions as their CI/CD pipeline.