public:support:labex-efl-gpu

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public:support:labex-efl-gpu [2021/11/30 14:16]
garciaflores
public:support:labex-efl-gpu [2023/07/11 14:02] (Version actuelle)
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-# GPU accelerators for Deep Learning at @LipnLab +# GPU 
-@LipnLab has two servers dedicated to calculations with GPU accelerators for Deep Learning research related tasks:+[@LipnLab](https://twitter.com/LipnLabhas two servers dedicated to calculations with GPU accelerators for Deep Learning research related tasks:
  
-## `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]()+## 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. 
  
-## tal-labex-gpu: 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-gpudocumentation here]()+You can find documentation on how to run your code on the [[public:support:labex-efl-gpu:lipn-gpu|lipn-gpu server here.]] 
 + 
 +## 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. 
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