Train 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.
Say goodbye to vendor lock-in. Orchestrate across multiple clouds. Escape data gravity with MosaicML data streaming.
Leading ML efficiency with a purpose-built stack. Our software optimizes your AI infrastructure for ML training.
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: 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.
Financial Services Enterprise
Director of ML
Generative AI startup