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Title:AI Infrastructure Alliance
Description:The AI Infrastructure Alliance brings together the best AI/ML infrastructure companeis in the world. Together we're creating the Canonical Stack for MLOps.
HTML Size:216 KB
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Fetched At:November 17, 2025

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h1AI INFRASTRUCTURE ALLIANCE
h1Our Work
h1Download the Enterprise Generative AI Adoption Report
h3Our 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 so
h1AI Landscape
h1Events – Past and Future
h2MEMBERS
h1ARTICLES
h2Enabling AI Regulation Compliance for Enterprises
h2Saving and Restoring Machine Learning Models with W&B
h2Olivio Sarikas – How AI Will Redefine Culture and Entertainment
h2Lilly Chen – Contenda – LLM Valley: A Video Game-Themed Talk Through AI Product Markets and Venture Capital
h2LlamaIndex – Practical Data Considerations for Building Production Ready LLM Apps
h2AI Quality Management: Key Processes and Tools, Part 2
h2Connect with Us
h2Thanks for joining!
h2Follow US
h2Download the Report
h2Your report is on the way. Check your email. Be sure to CHECK YOUR PROMOTIONS OR SPAM Folders!

Markdown Content

Home - AI Infrastructure Alliance

- Home
- Partners
- Events
- Articles
- Videos
- Resources
- AI Infrastructure Landscape
- Agents, LLMs and Smart Apps Report – 2023
- Enterprise Generative AI Adoption Report – Aug 2023
- AI Infrastructure Ecosystem Report of 2022
- Hidden Costs, Challenges and TCO for Gen AI Adoption in the Enterprise – Sept 2023
- MLTRL
- Community
- MLOps.Community
- Data-Centric AI Community
- DataTalks.Club
- Data Science Salon
- TheSequence
- Mission Statement
- Privacy Policy

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# AI INFRASTRUCTURE ALLIANCE

**Building the Canonical Stack for Machine Learning**

Learn More

# **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 **C****anonical 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.

Please enable JavaScript in your browser to complete this form.

Please enable JavaScript in your browser to complete this form.

Name \*

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Download Now

# **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**

SEE ALL MEMBERS

# **ARTICLES**

## Enabling AI Regulation Compliance for Enterprises

by Deepset AI | Nov 7, 2023 | Uncategorized

Learn about new government regulations for safer, more trustworthy AI products – and how we're addressing them As generative AI continues to make headlines, international efforts are underway to both harness the promise and address the risks of artificial...

## Saving and Restoring Machine Learning Models with W&B

by Weights and Biases | Oct 11, 2023 | Uncategorized

Introduction In this notebook, we'll look at how to save and restore your machine learning models with Weights & Biases. W&B lets you save everything you need to reproduce your models - weights, architecture, predictions, and code to a safe place. This is...

## Olivio Sarikas – How AI Will Redefine Culture and Entertainment

by AI Infrastructure Alliance | Oct 5, 2023 | Art and Culture

Podcaster and Vlogger Olivio Sarakis delivers a terrific talk on how AI will transform culture and entertainment.  A dash of art history, a touch of diffusion models and a bit of philsophy make for one of the more unique and intriguing talk at our LLMs and the...

## Lilly Chen – Contenda – LLM Valley: A Video Game-Themed Talk Through AI Product Markets and Venture Capital

by AI Infrastructure Alliance | Sep 26, 2023 | Markets and Venture Capital

Lilly Chen of Contenda delivers and fun and funny talk on AI product market fit and venture capital through the lens of an old-school video adventure game.

## LlamaIndex – Practical Data Considerations for Building Production Ready LLM Apps

by AI Infrastructure Alliance | Sep 24, 2023 | Uncategorized

LlamaIndex CEO Jerry Liu walks us through the various ways to build production ready LLMs. He walks us through Retrieval Augmented Generation and many of the challenges with getting it right in the real world.

## AI Quality Management: Key Processes and Tools, Part 2

by TruEra | Aug 10, 2023 | Uncategorized

Achieving high AI Quality requires the right combination of people, processes, and tools. In the last blog post, we introduced the processes and tools for driving AI Quality in the early stages of model development – data quality assessment, feature development, and...

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