Skip to content
Snippets Groups Projects
Verified Commit dd301a8a authored by Adam Caprez's avatar Adam Caprez
Browse files

Remove deprecated GPU types.

parent 234b29ef
Branches
Tags
1 merge request!358Remove deprecated GPU types.
...@@ -6,15 +6,12 @@ weight=35 ...@@ -6,15 +6,12 @@ weight=35
### Available GPUs ### Available GPUs
Crane has four types of GPUs available in the `gpu` partition. The Crane has two types of GPUs available in the `gpu` partition. The
type of GPU is configured as a SLURM feature, so you can specify a type type of GPU is configured as a SLURM feature, so you can specify a type
of GPU in your job resource requirements if necessary. of GPU in your job resource requirements if necessary.
| Description | SLURM Feature | Available Hardware | | Description | SLURM Feature | Available Hardware |
| -------------------- | ------------- | ---------------------------- | | -------------------- | ------------- | ---------------------------- |
| Tesla K20, non-IB | gpu_k20 | 3 nodes - 2 GPUs with 4 GB mem per node |
| Teska K20, with IB | gpu_k20 | 3 nodes - 3 GPUs with 4 GB mem per node |
| Tesla K40, with IB | gpu_k40 | 5 nodes - 4 K40M GPUs with 11 GB mem per node<br> 1 node - 2 K40C GPUs |
| Tesla P100, with OPA | gpu_p100 | 2 nodes - 2 GPUs with 12 GB per node | | Tesla P100, with OPA | gpu_p100 | 2 nodes - 2 GPUs with 12 GB per node |
| Tesla V100, with 10GbE | gpu_v100 | 1 node - 4 GPUs with 16 GB per node | | Tesla V100, with 10GbE | gpu_v100 | 1 node - 4 GPUs with 16 GB per node |
| Tesla V100, with OPA | gpu_v100 | 21 nodes - 2 GPUs with 32GB per node | | Tesla V100, with OPA | gpu_v100 | 21 nodes - 2 GPUs with 32GB per node |
...@@ -54,7 +51,7 @@ To run on a specific type of GPU, you can constrain your job to require ...@@ -54,7 +51,7 @@ To run on a specific type of GPU, you can constrain your job to require
a feature. To run on K40 GPUs for example: a feature. To run on K40 GPUs for example:
{{< highlight batch >}} {{< highlight batch >}}
--partition=gpu --gres=gpu --constraint=gpu_k40 --partition=gpu --gres=gpu --constraint=gpu_p100
{{< /highlight >}} {{< /highlight >}}
{{% notice info %}} {{% notice info %}}
...@@ -74,7 +71,7 @@ For example, using ...@@ -74,7 +71,7 @@ For example, using
{{< /highlight >}} {{< /highlight >}}
will request a GPU with 16GB of RAM, independent of the type of card will request a GPU with 16GB of RAM, independent of the type of card
(K20, K40, P100, etc.). You may also request both a GPU type _and_ (P100, T4, etc.). You may also request both a GPU type _and_
memory amount using the `&` operator (single quotes are used because memory amount using the `&` operator (single quotes are used because
`&` is a special character). `&` is a special character).
......
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment