# Videos

Short walkthroughs and demos covering the Eugo platform, from first cluster to GPU offloading.

Source: https://university.eugo.io/videos

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- [What is Eugo, in 90 seconds](https://university.eugo.io/videos/what-is-eugo-in-90-seconds) — The shortest useful answer: write ordinary Python, get supercomputer throughput, skip the infrastructure. (not yet recorded)
- [A tour of EugoIDE](https://university.eugo.io/videos/tour-of-eugoide) — Every panel in the browser IDE, what it controls, and which parts of your work survive a restart. (not yet recorded)
- [Launch your first cluster](https://university.eugo.io/videos/launch-your-first-cluster) — From an empty notebook to a running cluster and a completed task, including the blocking mistake almost everyone makes on their first fan-out. (not yet recorded)
- [The distribute decorator, explained](https://university.eugo.io/videos/the-distribute-decorator) — What @eugo.hpc.distribute actually changes about a function, and why the call site stays clean. (not yet recorded)
- [Working with futures without blocking](https://university.eugo.io/videos/futures-without-blocking) — The most common performance mistake in distributed code, and the two-line habit that avoids it. (not yet recorded)
- [Requesting GPUs per task](https://university.eugo.io/videos/requesting-gpus-per-task) — Use .options() to ask for GPUs on the calls that need them, and only those. (not yet recorded)
- [Automatic GPU offloading](https://university.eugo.io/videos/automatic-gpu-offloading) — Which array operations Eugo moves to the GPU on its own, and how to confirm it happened. (not yet recorded)
- [Actors for stateful work](https://university.eugo.io/videos/actors-for-stateful-work) — When a task is the wrong shape: keeping an expensive object alive across many calls. (not yet recorded)
- [Parallel pandas in practice](https://university.eugo.io/videos/parallel-pandas-in-practice) — Split a dataframe workload across workers without rewriting your analysis. (not yet recorded)
- [Reading large datasets without stalling](https://university.eugo.io/videos/reading-large-datasets) — When I/O is your bottleneck, more workers will not help. Here is what does. (not yet recorded)
- [Sizing a cluster for your workload](https://university.eugo.io/videos/sizing-a-cluster) — Estimating worker count from the shape of your work, rather than guessing. (not yet recorded)
- [Set up a workspace](https://university.eugo.io/videos/set-up-a-workspace) — Create a workspace, pick a plan, and get a team into it, in the order that avoids granting access before the storage and libraries are ready. (not yet recorded)
- [Reading the dashboard](https://university.eugo.io/videos/reading-the-dashboard) — What each panel on the organization dashboard is telling you, and what to watch. (not yet recorded)
- [Seven terabytes in three minutes](https://university.eugo.io/videos/seven-terabytes-in-three-minutes) — A real geospatial pipeline: 192,000 satellite files, resampled and written, start to finish. (not yet recorded)