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rewrote the mila cluster msg
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gyom committed Jun 16, 2021
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Expand Up @@ -4,24 +4,21 @@ Overview of available computing resources at Mila
The Mila cluster is to be used for regular development and relatively small
number of jobs (< 5). It is an heterogeneous cluster. It uses :ref:`SLURM<slurmpage>` to schedule jobs.

+--------------------+-------+---------------------+
| compute ressource | count | count / student |
| | | (for ~500 students) |
+====================+=======+=====================+
| CPUs | TODO | TODO |
+--------------------+-------+---------------------+
| GPU v100 | 66 | 100 |
+--------------------+-------+---------------------+
| GPU k80 | 16 | 100 |
+--------------------+-------+---------------------+
| GPU m40 | 5 | 100 |
+--------------------+-------+---------------------+
| GPU rtx8000 | 367 | 100 |
+--------------------+-------+---------------------+
| GPU titanrtx | 8 | 100 |
+--------------------+-------+---------------------+
| **GPU in total** | 8 | 100 |
+--------------------+-------+---------------------+
There are a lot of commonalities between the Mila cluster
and the clusters from Compute Canada (CC).
At the time being, the CC clusters where we have a large allocation of resources
are `beluga`, `cedar` and `graham`.
We also have comparable computational resources in the Mila cluster,
with more to come.

TODO : Maybe add FP32 performance in there?
The main distinguishing factor is that more have more control over
our own cluster than we have over the ones at Compute Canada.
Notably, also, the compute nodes in the Mila cluster all have
unrestricted access to the Internet, which is not the case in general
for CC clusters (although `cedar` does allow it).

At the current time of this writing (June 2021), Mila students are advised
to use a healthy diet of a mix of Mila and CC clusters.
This is especially true in times when your favorite cluster is oversubscribed,
because you can easily switch over to a different one if you are used to it.

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