Remove deprecated GPU types.

content/submitting_jobs/submitting_gpu_jobs.md

@@ -6,15 +6,12 @@ weight=35
 
 ### 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
 of GPU in your job resource requirements if necessary.
 
 |    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 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 |
@@ -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:
 
 {{< highlight batch >}}
---partition=gpu --gres=gpu --constraint=gpu_k40
+--partition=gpu --gres=gpu --constraint=gpu_p100
 {{< /highlight >}}
 
 {{% notice info %}}
@@ -74,7 +71,7 @@ For example, using
 {{< /highlight >}}
 
 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 
 `&` is a special character).