AI INFRASTRUCTURE ALLIANCE
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
Oct 2023
Our biggest report of the year covers the wide world of agents, large language models and smart apps. This massive guide dives deep into the next-gen emerging stack of AI, prompt engineering, open source and closed source generative models, common app design patterns, legal challenges, LLM logic and reasoning and more.
Get it now. FREE.
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.
MEMBERS
ARTICLES
Google Cloud Introduces Advanced AI Pipelines Packages
Machine Learning at scale is a complex web of glued together software. Building an enterprise pipeline that's seamless and easy to use is a challenge most companies never seem to get right. The tools that support AI seem like they're almost a decade behind software...
When to Use CPU, GPUs or TPUs
It's an amazing time for data scientists everywhere, as the hardware needed to crunch numbers like never before comes online. It wasn't long ago that there were only a few chip manufacturers in the world, Intel and AMD, working on essentially the same architecture for...
Data Logging: Sampling versus Profiling
When it comes to AI applications, the lack of tools and standardized approaches mean that logging is often spotty and incomplete. Here, I compare two approaches to data logging: sampling and profiling.
Keras Creator Francois Chollet Tells Us Why Games are a Terrible Measure of AI Intelligence
In this interview with the Verge, well respected machine learning researcher and Keras creator Francois Chollet talks about why games like Go and DOTA2 don't get us any closer to real, artificial general intelligence. That's why he created a new kind of Turing style...
Roads, Where We’re Going We Don’t Need Roads
There’s an exciting side to AI. Intense, multi-million dollar research over many years that leads to a billion dollar algorithmic breakthrough that keeps self-driving cars from crashing or detects lung cancer better than ever is glamorous part of intelligent...
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