Spin up pre-defined environments with your tools,
libraries and data in one place
Connect to your preferred IDE tool in a single click, from Jupyter Notebook to Pycharm and VScode
Track results in your preferred experiment management tool with our built-in integrations to W&B, Comet.ml, MLflow, and Tensorboard
Mount your dataset to your workspace and store outputs and artifacts in traceable storage volumes
workspace templates
Launch pre-configured environments and save time on building container images, installing software, configuring environment variables, etc.
Iterate faster, run more jobs and scale up your training to multiple nodes
JOB QUEUES
Fire up hundreds of prioritized batch jobs to your pre-defined queue before you leave to your weekend
Distributed training
Scale your training workloads to many nodes of GPUs in a single command line. Infrastructure is on us.
Any Framework
Out-of-the-box support for all Python training frameworks, from Ray to Pytorch Lightning and DeepSpeed
Increase efficiency and move faster from the lab to production
Deploy, manage, and monitor your models from a single place
Leverage out-of-the-box, optimized LLMs on your own infrastructure
Scale cold models to zero and provision compute only when needed
Host more models on the same infrastructure to reduce costs
