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What it is. At launch you choose the size of your machine and the software set.

Sizes. The Server Type list on the launch screen:

Software. The Images list holds ready-made stacks, for example Earth Science Server (with AI Intelligence). The Other image box lets a project use From a small 4 GB workspace up to 64 GB with 8 CPUs, or a GPU machine. (A GPU is a chip that is fast for AI and image work.)Software. Ready-made Earth-science, Python, and AI stacks. A project can also bring its own image — a packaged set of software.

Project. The Project list decides which project storage the session can reach, and which budget it is charged to.

ExampleExample. Training a small model? Choose the GPU machine. Reading one file and plotting it? Choose the small workspace? Take Standard. Holding a large dataset in memory? Take r5.2xlarge.

Watch out. A bigger machine costs more per hour. Take the size the job needs, not the biggest one on the list.

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Then pick it with Kernel → Change Kernel. It appears by itself — the platform discovers your environments for you — listed as Python [conda env:myscience].

Good to know.

• The platform keeps your environments in ~/users_conda_envs, inside your home folder, so they survive a restart.
• Always include ipykernel in the environment, or there is no kernel to pick.
• conda and mamba are both installed. mamba is faster.
• If a kernel does not show up, register it by hand: python -m ipykernel install --user --name myscience --display-name "My science env"

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What it is. Send a whole notebook away to run on its own, on a machine you choose. Your interactive workspace stays free, and the job survives closing the browser.

How you use it. Pick Open the notebook . Pick and press NBQueue: Send to queue in the toolbar. Choose the machine. Send it. Watch the status in the same NBQueue panel. When it finishes, you get the finished notebook, with its output.

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What it is. A tile in your Launcher, under Collaboration, named "Open <your project> Start <project> Collaboration" — where <project> is the project you chose on the launch screen. It opens a shared session for the project, where several people edit the same file at the same time.

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Stopping it. Click the tile again to stop the shared session. The tile shows Open reads Start when the session is down, and Stop when it is up.

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What it is. A panel showing your own numbers. Open it from the Resource Tracker tile, under Admin tools in the Launcher.

• This month — hours used, compute cost, and storage cost split into shared filesystem, workspace disk, and object storage.
• Funding period to date — used, allocated, and remaining. (The funding block is hidden if you have no allocation.)
• Last updated — when the numbers were prepared.

Example. Before starting running a GPU large machine for a week, open the panel and check what is left of your allocation.

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