Remote AI development
JupyterLab on any remote machine
Create a remote development environment (e.g. AWS SageMaker, GCP CoLab, etc.) on any on-prem machine or any cloud.
In-browser remote Visual-Studio Code
Access your full development environment on a remote machine with in-browser Visual-Studio Code, including git integration, debugger, file explorer, etc.
Out-of-the-box container support
Hassle-free persistent development environment on any machine, shared with co-workers and production-ready from the get-go.
On-prem GPU machines for development
Share bare-metal GPU machines (DGX, HPz workstations) with data science teams without additional DevOps infrastructure (Kubernetes is optional).
Official NVIDIA and HP Partner
Nvidia DGX Pod
HP Z Workstations
Remote and beyond
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