✨ We just announced Composer to speed up training your models. Check us out on GitHub! ✨
To capture the full potential of AI, your Machine Learning models must be every bit as unique as your data.
Powered by the MosaicML Cloud, you can turn your data into domain-specific models that turbocharge your business and support new use cases.
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.
The MosaicML cloud makes it easy to train any size model on any number of GPUs. Achieve more accurate results faster and seamlessly scale your workloads with our distributed training methods.
We support all major clouds and popular ML tools like PyTorch, HuggingFace, Weights and Biases, CometML, and ONNX with easy integrations that fit seamlessly into your existing workflows and data pipelines.
Improve your model accuracy and reduce your error rate through efficient algorithms that are automatically applied to your training loop.
Reliability and security are built into the design of MosaicML Cloud. We are independently audited and make continual updates to ensure compliance with best practices across major industries.
Talk to our ML training experts and discover how MosaicML can help you on your ML journey.
