Building the Canonical Stack for Machine Learning

Our Work

At the AI Infrastructure Alliance, we’re dedicated to bringing together the essential building blocks for the Artificial Intelligence applications of today and tomorrow.  

Right now, we’re seeing the evolution of a Canonical Stack (CS) for machine learning.  It’s coming together through the efforts of many different people, projects and organizations.  No one group can do it alone. That’s why we’ve created the Alliance to act as a focal point that brings together many different groups in one place.

The Alliance and its members bring striking clarity to this quickly developing field by highlighting the strongest platforms and showing how different components of a complete enterprise machine learning stack can and should interoperate.  We deliver essential reports and research, virtual events packed with fantastic speakers and visual graphics that make sense of an ever-changing landscape.

Download the Enterprise Generative AI Adoption Report

August 2023

We surveyed over 1000 companies with more than 1B USD in revenue to see how fast they’re adopting generative AI and what their challenges are as they embrace these powerful new systems.

We focused on C-suite and team leaders with job titles like CIO, CTO, Head of AI, VP of Data or VP of Artificial Intelligence, across a range of verticals, everything from law firms, to manufacturing, to telecom, energy, food, healthcare and more.

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AI Landscape

Check out our constantly updated AI Landscape Graphic that shows the full range of capabilities for major MLOps tools instead of just pigeonholing them into a single box that highlights only one aspect of their primary characteristics.

Today’s MLOps tooling offers a broad sweep of possibilities for data engineering and data science teams.  You can’t easily see those capabilities in typical graphics that show a bunch of logos so we’ve engineered a better info-graphic to let you quickly figure out if a tool does what you need now.

Events – Past and Future

Check here for our upcoming events and to watch videos from past events.  We put on 3 to 4 major events every year and they’re packed with fantastic speakers from across the AI/ML ecosystem.



When Machine Learning meets privacy

When Machine Learning meets privacy

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations. This posted has been republished by AIIA. To listen to the original podcast, please click HERE....

Centaur at Work: Writing a Newsletter

Centaur at Work: Writing a Newsletter

A Story of Many Failures and One Success In this blog, join me as I embark on the complex journey of semi-automating an AI-focused weekly newsletter. You'll get a first-hand look at a diverse set of tools and tactics that I've put to work on this real-life puzzle....

Reducing GPU Costs for Production AI

Reducing GPU Costs for Production AI

This tech talk explores how you can efficiently use GPU resources for production inference. There are several ways to reduce GPU costs for production AI, including using cost-effective GPU options, using cloud providers, using containerization, using GPU acceleration...

The Only 3 ML Tools You Need

The Only 3 ML Tools You Need

Image by Author At a rapid pace, many machine learning techniques have moved from proof of concepts to powering crucial pieces of technology that people rely on daily. In attempts to capture this newly unlocked value, many teams have found themselves caught up in the...

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