✨ We just announced Composer to speed up training your models. Check us out on GitHub! ✨
The MosaicML platform enables you to easily train large AI models on your data, in your secure environment.
Build your next model.
Train 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 modeling frontier with our latest recipes and techniques, rigorously tested by our research team.
With a few simple steps, deploy inside your private cloud. Your training data and models never leave your firewalls. Start training in one cloud, stop and resume on another — without skipping a beat.
Freedom to own your model entirely, including the model weights. Introspect and better explain the model decisions. Filter the content and data based on your business rules.
Seamlessly integrate with your existing workflows, experiment trackers, and data pipelines. Our platform is fully interoperable, cloud agnostic, and enterprise proven.
Run more experiments in less time with our world-leading efficiency optimizations. We’ve solved the hard engineering and systems problems for you. Train with confidence that no performance was left behind.
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.
They achieved astonishing results in their first MLPerf publication, beating NVIDIA’s optimized model by 17%, and the unoptimized model by 4.5x.
Packaging many algorithmic speedups in an easy-to-use API is quite a nice product.
We got done in two days what would have taken us a month.
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.
Talk to our ML training experts and discover how MosaicML can help you on your ML journey.
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