🚀 Our MPT-7B family of open-source models is trending on the Hugging Face Hub! Take a look at our blog post to learn more. 🚀

✨ We’ve just launched our Inference service. Learn more in our blog post


Train multi-billion-parameter models in hours, not days. Efficient scaling at large (>70B) scales.


Train 2x-7x faster, without changing your code. Our software applies the latest optimizations auto-magically.


No vendor lock-in. Orchestrate across multiple clouds. Escape data gravity with MosaicML data streaming.

Complete Control

Train advanced AI models in any environment with complete data privacy and full model ownership.

Effortless Scale

Train Large Language Models (LLMs) at scale with a single command. Just point to your S3 bucket and we take care of the rest: launching, monitoring, auto-recovery.

Automated Performance

Stay on the bleeding edge of efficiency. Our performance gurus continually add the latest optimizations into our platform.

Designed for Large Models

Organizations like Replit and Stanford's Center for Research on Foundation Models (CRFM) are training GPT models on specialized datasets with MosaicML. We built features to address the pain points for training LLMs and other generative models.

Training large models is expensive. Extracting performance requires tuning everything from the network interconnects to GPU parallelism strategies to software frameworks. With our optimized platform, you can skip the setup and get training right the first time.
Learn more in our blog

⏯ AutoRecovery

Automatic resumption from node failures and loss spikes. No need to babysit LLM training. We monitor and restart from previous checkpoints.


Train any size model on any hardware, without tedious settings trial-and-error. We dynamically adjust memory usage on-the-fly to prevent OOM.

🚀 Efficient

40%+ utilization out of the box with our tuned parallelism settings across model and compute scales.

🔀 Stream

Stream datasets from anywhere quickly and accurately. Resume from checkpoints instantly, no need to wait an hour for dataloader spinning.

Deploy across multiple clouds

Avoid vendor lock-in with our multi-cloud orchestration. With our fast dataset streaming, escape data gravity and route workloads across clusters.


For optimal results, deploy on MosaicML managed infrastructure, which has been optimized down to the hardware for ML efficiency.

☁️ Public Clouds

Deploy inside your VPCs on public clouds like AWS, Azure, GCP, and OCI. Your training data never leaves your network.

🏢 On Premise

Get the most from your existing hardware with our automated efficiency optimizations. Burst workloads to other clouds as needed.

Rich Python SDK

Build custom workflows and tooling on top of the MosaicML platform with our comprehensive python SDK. We support integrations with your favorite MLOps tools. Automatically package and submit local files with a few lines of code.

Our Community Loves Us

"We got done in two days what would have taken us a month."

Financial Services Enterprise

Director of ML

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


Karl Freund

“MosaicML was literally a 20x faster turnaround for our large model training.”

Generative AI startup


Ready to train your next large model?