Différences

Ci-dessous, les différences entre deux révisions de la page.

--- public:support:labex-efl-gpu [2021/11/30 14:19]
garciaflores
+++ public:support:labex-efl-gpu [2023/07/11 14:02] (Version actuelle)
garciaflores
@@ Ligne 1: / Ligne 1: @@
-# GPU accelerators
+# GPU
-@LipnLab has two servers dedicated to calculations with GPU accelerators for Deep Learning research related tasks:
+[@LipnLab](https://twitter.com/LipnLab) has two servers dedicated to calculations with GPU accelerators for Deep Learning research related tasks:
-## lipn-gpu
+## LIPN GPU
-This server has **11 GPUs Nvidia Quadro RTX 5000 with 16 GB of RAM each **, distributed in three nodes. Access to this server is reserved to @LipnLab researchers, guests and associated members. You need to have a [Lipn-intranet](https://sso.lipn.univ-paris13.fr/cas/login?service=https%3A%2F%2Fportail.lipn.univ-paris13.fr%2Fportail%2F) account to get access to this server. You can find documentation [on how to use the `lipn-gpu` server here](http://www.google.com)
+This server has **11 GPUs Nvidia Quadro RTX 5000 with 16 GB of RAM each **, distributed in three nodes. Access to this server is reserved to @LipnLab researchers, guests and associated members. You need to have a [Lipn-intranet](https://sso.lipn.univ-paris13.fr/cas/login?service=https%3A%2F%2Fportail.lipn.univ-paris13.fr%2Fportail%2F) account to get access to this server.
-## tal-labex-gpu
+You can find documentation on how to run your code on the [[public:support:labex-efl-gpu:lipn-gpu|lipn-gpu server here.]]
-The server gives access to **8 GPUs Nvidia GEForce RTX 2080 with 8 GB of RAM each** in one node. This server is reserved to external @LipnLab research partners. [You can read `tal-labex-gpu` documentation here](http://www.google.com)
+## TAL/Labex EFL
+The server gives access to **8 GPUs Nvidia GEForce RTX 2080 with 8 GB of RAM each** in one node. This server is reserved to external @LipnLab [LABEX EFL](https://www.labex-efl.fr/) research partners.
+You can read [tal-labex-gpu documentation here](https://lipn.univ-paris13.fr/wiki/doku.php?id=public:support:labex-efl-gpu:tal-labex-gpu)
+## LIPN-A40
+GPU server shared by the LIPN and the L2Ti labs with  ** 8 Nvidia A40 GPUs accelerators with 48Gb of RAM each **. You can read the  [[public:support:labex-efl-gpu:lipn-a40|lipn-a40 GPU server here.]]
+(Actually, here is some [[public:support:hp-a40-gpu|technical documentation about how to install A40 GPU drivers]] on the HP Proliant new server.