Merge pull request #231 from NYU-RTS/no-ssh-keys

no need for an ssh keys section anymore

Author: s-sajid-ali

docs/hpc/01_getting_started/03_walkthrough_request_hpc_account.mdx

@@ -4,7 +4,7 @@ import TabItem from '@theme/TabItem';
 # How to request an HPC account
 
 :::tip
-Make sure you don't already have an HPC account. You can check this by attempting to log in to the cluster, according to the instructions at [Connecting to the HPC Cluster](../02_connecting_to_hpc/01_connecting_to_hpc.md).
+Make sure you don't already have an HPC account. You can check this by attempting to log in to the cluster, according to the instructions at [Connecting to the HPC Cluster](../02_connecting_to_hpc/01_connecting_to_hpc.mdx).
 :::
 
 Login to the URL given below, using your NetID/password, to create or manage HPC Account Requests:

docs/hpc/01_getting_started/06_hpc_accounts_external_collaborators.md

@@ -13,7 +13,7 @@ External (non-NYU) collaborators can access, with proper sponsorship, the NYU HP
 :::note
 Once the sponsoring faculty approves the account request, the HPC account is created within one hour.
 :::
--   Once the HPC account is created, the external collaborator can access HPC resources as described in our documentation page [Connecting to the HPC Cluster](../02_connecting_to_hpc/01_connecting_to_hpc.md).
+-   Once the HPC account is created, the external collaborator can access HPC resources as described in our documentation page [Connecting to the HPC Cluster](../02_connecting_to_hpc/01_connecting_to_hpc.mdx).
 
 :::note
 As with all sponsored accounts, HPC accounts for external collaborators are valid for a period of 12 months, at which point a renewal process is required to continue access to the NYU HPC environment.  You can find information about renewing your account on our documentation page [Getting and Renewing an HPC Account](./02_getting_and_renewing_an_account.mdx).

…onnecting_to_hpc/01_connecting_to_hpc.md …nnecting_to_hpc/01_connecting_to_hpc.mdxdocs/hpc/02_connecting_to_hpc/01_connecting_to_hpc.md renamed to docs/hpc/02_connecting_to_hpc/01_connecting_to_hpc.mdx docs/hpc/02_connecting_to_hpc/01_connecting_to_hpc.md renamed to docs/hpc/02_connecting_to_hpc/01_connecting_to_hpc.mdx

@@ -33,6 +33,12 @@ Host torch login.torch.hpc.nyu.edu
   UserKnownHostsFile /dev/null
   LogLevel ERROR
 ```
+
+:::warning[No SSH Keys on Torch]
+SSH keys are not supported on Torch due to increased security resrtictions.
+:::
+
+
 ### MacOS/Linux
 
 MacOS/Linux machines have SSH clients pre-installed. Using the editor of your choice, open the `~/.ssh/config` file on your machine and add the contents listed above.
@@ -119,19 +125,6 @@ There is an extra layer of security when accessing Torch which is described belo
 -   Return to terminal and hit Enter
 ![torch-ssh-2fa-9](static/torch-ssh-2fa-9.png)
 
-## SSH Keys for Torch
-:::warning
-SSH keys are not supported on Torch!
-:::
-
-Instead of typing your password every time you need to log in, you can also specify an ssh key.
-
--   Only do that on the computer you trust
--   Generate ssh key pair (terminal in Linux/Mac or cmd/WSL in Windows) [using ssh keygen](https://www.ssh.com/ssh/keygen/)
--   Note the path to ssh key files. Don't share key files with anybody - anybody with this key file can login to your account
--   Log into cluster using regular login/password and then add the content of generated public key file (the one with .pub) to `$HOME/.ssh/authorized_keys` on cluster
--   Next time you will log into cluster no password will be required
-
 
 [nyu vpn link]: https://www.nyu.edu/life/information-technology/infrastructure/network-services/vpn.html
 

docs/hpc/03_storage/07_transferring_cloud_storage_data_with_rclone.md

@@ -33,7 +33,7 @@ There are specific instruction on the [rclone web site](https://rclone.org/drive
 
 ### Step 1: Login to Torch:
 
-Follow [instructions](../02_connecting_to_hpc/01_connecting_to_hpc.md) to log into the Torch HPC cluster.
+Follow [instructions](../02_connecting_to_hpc/01_connecting_to_hpc.mdx) to log into the Torch HPC cluster.
 
 ### Step 2: Load the rclone module
 ```sh

docs/hpc/08_ml_ai_hpc/05_run_hf_model.md

@@ -5,7 +5,7 @@ Here we provide an example of how one can run a Hugging Face Large-language mode
 ## Prepare environment
 ### Create project directory
 
-After [logging on to a Torch login node](../02_connecting_to_hpc/01_connecting_to_hpc.md), make a directory for this project:
+After [logging on to a Torch login node](../02_connecting_to_hpc/01_connecting_to_hpc.mdx), make a directory for this project:
 ```bash
 [NetID@log-1 ~]$ mkdir -p /scratch/NetID/llm_example
 [NetID@log-1 ~]$ cd /scratch/NetID/llm_example

docs/hpc/09_ood/01_ood_intro.md

@@ -63,4 +63,4 @@ Just click on the `Session ID` link and a tab will open with the contents of the
 
 #### From terminal
 
-If your session is no longer visible from within OOD you may still be able to find your logs via the terminal.  Simply [log into Torch](../02_connecting_to_hpc/01_connecting_to_hpc.md) and `cd` to `/home/$USER/ondemand/data/sys/dashboard/batch_connect/sys/` and then `cd` into the directory for the app that you're interested in.  You should find the file `output.log` there.
+If your session is no longer visible from within OOD you may still be able to find your logs via the terminal.  Simply [log into Torch](../02_connecting_to_hpc/01_connecting_to_hpc.mdx) and `cd` to `/home/$USER/ondemand/data/sys/dashboard/batch_connect/sys/` and then `cd` into the directory for the app that you're interested in.  You should find the file `output.log` there.

docs/hpc/09_ood/07_jupyter_with_conda_singularity.mdx

@@ -4,7 +4,7 @@
 This page describes how to use your Singularity with conda environment in OOD GUI at Torch. 
 
 ### Log Into Torch via the Terminal
-The following commands must be run from the terminal. Information on accessing via the terminal can be found at [Connecting to the HPC](../02_connecting_to_hpc/01_connecting_to_hpc.md) or you can log into OOD and select the `Clusters` tab at the top of the page and select `Torch Shell Access`.
+The following commands must be run from the terminal. Information on accessing via the terminal can be found at [Connecting to the HPC](../02_connecting_to_hpc/01_connecting_to_hpc.mdx) or you can log into OOD and select the `Clusters` tab at the top of the page and select `Torch Shell Access`.
 
 ### Preinstallation Warning
 :::warning