
Evaluating MAX Engine inference accuracy on the ImageNet dataset
MAX Engine is a high-performance AI compiler and runtime designed to deliver low latency, and high-throughput inference for AI applications. We've shared how you can get started quickly with MAX in this getting started guide, and how you can deploy MAX Engine optimized models as a microservice using MAX Serving.

Optimize and deploy AI models with MAX Engine and MAX Serving
MAX Developer Edition preview is now available to developers worldwide and ICYMI, feel free to check out our getting started with MAX blog post. Today, I’d like to dive a little deeper and show how to build an end-to-end application using MAX.

Getting started with MAX Developer Edition
Today we’re thrilled to announce that MAX Developer Edition is now available in preview for developers worldwide! 🥳🎉. In this developer blog post, we'll take an in-depth look at MAX, its key features and capabilities, and how to use it to deploy your first MAX optimized model. Using code examples we’ll illustrate its benefits, cover key concepts, and share additional resources to continue your MAX journey.

Mojo🔥 ♥️ Python: Calculating and plotting a Valentine’s day ♥️ using Mojo and Python
On Valentine’s Day yesterday, I wanted to create something special to celebrate my love for Mojo and Python. My search on the interwebs led me to a nifty little equation that plots a heart. The equation is quite simple and I’ll refer to this as the “heart equation” through the rest of this blog post

Mojo🔥 SDK v0.7 now available for download!
Mojo SDK v0.7 is the first big release of Mojo🔥 in 2024, and it’s chock full of new language and standard library feature goodness. In this blog post, I’ll share some of the key highlights from this release with examples, and discuss what they are and when to use them. I’m only going to cover the new features, for a complete list of what’s new, what’s changed, what’s removed, and what’s fixed in this release, be sure to check out the changelog in the Mojo documentation.

Implementing NumPy style matrix slicing in Mojo🔥
Python libraries such as NumPy and Pandas are so popular because they make engineers and data scientists productive. The first time I used NumPy, I was struck, not by its vast array of supported math functions, but by the ease with which I could manipulate arrays and matrices and, in particular, slicing rows, columns, or submatrices from large tabular datasets.

What’s new in Mojo SDK v0.5?
Mojo SDK v0.5 is now available for download and includes exciting new features. In this blog post, I’ll discuss what these features are and how to use them with code examples. ICYMI, in last week’s Modular community livestream, we dove deep into all things Mojo SDK v0.5 with live demos of the examples shared in this blog post, while answering your questions live!
Easy ways to get started
Get started guide
With just a few commands, you can install MAX as a conda package and deploy a GenAI model on a local endpoint.
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Follow step by step recipes to build Agents, chatbots, and more with MAX.
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Follow step by step recipes to build Agents, chatbots, and more with MAX.