MosaicML | Home

Generative AI For All

MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment.
‍
Build your next model.

Finally, a large model stack that just works

Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest — orchestration, efficiency, node failures, infrastructure. Simple and scalable.

Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team.

“Using the MosaicML platform, we were able to train and deploy our Ghostwriter 2.7B LLM for code generation with our own data within a week and achieve leading results.”

Amjad Masad, CEO, Replit

Deploy securely, run anywhere

With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, continue on another — without skipping a beat.

Learn More

Your model, your weights

Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs.

“In a highly regulated environment, model and data ownership is critical to building more explainable and better models.”

Grace Z.
Director, Fortune 500 Insurance Company

Plug and play

Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud agnostic, and enterprise proven.

Iterate faster

Run more experiments in less time with our world-leading efficiency optimizations. We’ve solved the hard engineering, systems, and research problems for you. Train and deploy with confidence that no performance was left behind.

"I thought it would take a long time to compress and upload our data, but with MosaicML we did it in minutes. It was amazing. MosaicML breaks down the barriers so we can focus on what’s important."

John Mullan, CTO, Natural Synthetics

Build your way

Choose just the pieces you need from our modular training stack. Modify our starter code however you want. Our unopinionated tools make it easier, not harder, to implement your ideas.

Learn More

Stanford Center for Research on Foundational Models used MosaicML to train multi-billion-parameter large language models on biomedical text.

They achieved astonishing results in their first MLPerf publication, beating NVIDIA’s optimized model by 17%, and the unoptimized model by 4.5x.

Forbes

June 30 2022

Packaging many algorithmic speedups in an easy-to-use API is quite a nice product.

Soumith Chintala, Creator of PyTorch

"Using the MosaicML platform, we were able to train and deploy our Ghostwriter 2.7B LLM for code generation with our own data within a week and achieve leading results."

Amjad Masad, CEO, Replit

MosaicML researchers train large-scale vision and language models across multiple GPUs and nodes every single day. They understand how scalable research pipelines should be constructed.

Ananya Harsh Jha, Predoctoral Young Investigator from Allen Institute for AI

Resources

Hiring

Join us if you want to build world class ML training systems.

Careers

Composer

Open-source PyTorch library to plug and play speed-ups with just a few lines of code.

GitHub

Research

20+ speed-up methods for neural network training, rooted in our rigorous research.

Documentation

Community

Develop the best solutions to the most challenging problems in ML today.

Slack

Generative AI For All

Finally, a large model stack that just works

Deploy securely, run anywhere

Your model, your weights

Plug and play

Iterate faster

Build your way

Top Blog Posts

Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs

MosaicML Inference: Secure, Private, and Affordable Deployment for Large Models

How We Trained Stable Diffusion for Less than $50k (Part 3)

Training Stable Diffusion from Scratch for <$50k with MosaicML (Part 2)

Build AI Models on Any Cloud in Your Secure Environment

MosaicML Platform: the Software Infrastructure for Generative AI

In the news

MosaicML Delivers a Secure Platform for Hosted AI

Forbes AI 50: 2023 Generative AI Trends

44 of the Most Promising Generative AI Startups of 2023

AI’s Inflection Point: How MosaicML is Making AI Models More Accessible

NVIDIA Loses The AI Performance Crown, At Least For Now

MosaicML Comes Out of Stealth Aiming to Ease Model Training

Former Intel AI boss is now counting the cost of machine learning, literally

AI’s Smarts Now Come With a Big Price Tag

Former Nervana leads target optimal training configurations