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- Launch Backend.AI directly from your Dock or taskbar.
- Work without distractions in a dedicated window, separate from your browser tabs.
- Manage multiple Backend.AI accounts and switch between them without logging out.
For researchers, machine-learning developers, students, and infrastructure teams that need shared compute for AI work, Backend.AI provides a browser interface for launching and managing workloads without manually assigning servers. Create isolated computing sessions for interactive development, batch jobs, or inference, and choose the available CPU, memory, accelerator, and software environment for each task. Sessions can support tools such as Jupyter Notebook and Terminal, while virtual folders let you store files and make them available across sessions. Backend.AI helps organizations manage shared GPU resources by scheduling workloads, monitoring cluster and session usage, and applying user or project policies. Where enabled, fractional GPU allocation lets multiple users share a physical GPU. Administrators can also manage users, groups, resource limits, and access to data. It is suited to teams and institutions running machine-learning development, model training, data analysis, or inference on managed cloud or on-premises infrastructure.
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