Train your own LLMs and other generative AI models.
Maintain full control of your data, in your secure environment.
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.
Train advanced AI models in any environment with complete data privacy and full model ownership.
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.
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.
40%+ utilization out of the box with our tuned parallelism settings across model and compute scales.
Stream datasets from anywhere quickly and accurately. Resume from checkpoints instantly, no need to wait an hour for dataloader spinning.
For optimal results, deploy on MosaicML managed infrastructure, which has been optimized down to the hardware for ML efficiency.
Deploy inside your VPCs on public clouds like AWS, Azure, GCP, and OCI. Your training data never leaves your network.
Get the most from your existing hardware with our automated efficiency optimizations. Burst workloads to other clouds as needed.
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.
Financial Services Enterprise
Director of ML
Generative AI startup