GPU

@LipnLab has two servers dedicated to calculations with GPU accelerators for Deep Learning research related tasks:

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 account to get access to this server.

You can find documentation on how to run your code on the 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 LABEX EFL research partners.

You can read tal-labex-gpu documentation here

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 lipn-a40 GPU server here.

(Actually, here is some technical documentation about how to install A40 GPU drivers on the HP Proliant new server.