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New cluster "troll" available in Grenoble

We have the pleasure to announce that a new cluster called "troll" is available in Grenoble¹.

It features 4 Dell R640 nodes with 2 Intel® Xeon® Gold 5218, 16 cores/CPU, 384GB DDR4, 1.5 TB PMEM (Intel® Optane™ DC Persistent Memory)²³, 1.6 TB NVME SSD, 10Gbps Ethernet, and 100Gb Omni-Path.

Energy monitoring⁴ is available for this cluster, provided by the same devices used for the other clusters in Grenoble.

This cluster has been funded by the PERM@RAM project from Laboratoire d'Informatique de Grenoble (CNRS/INS2I grant).

¹: https://www.grid5000.fr/w/Grenoble:Hardware

²: https://software.intel.com/en-us/articles/quick-start-guide-configure-intel-optane-dc-persistent-memory-on-linux

³: https://docs.pmem.io/persistent-memory/

⁴: https://www.grid5000.fr/w/Energy_consumption_monitoring_tutorial

-- Grid'5000 Team 17:00, February 3rd 2020 (CET)

New cluster available in Nancy: grue (20 GPUs)

We have the pleasure to announce that the Grue cluster in Nancy¹ (production queue) is now available:

It features 5 Dell R7425 servers nodes with four Tesla T4², 128 GB DDR4, 1x480 GB SSD, 2 x AMD EPYC 7351, 16 cores/CPU

As this cluster features 4 GPU per node, we remind you that you can monitor GPU (and node) usage using the Ganglia tool (std environment only):

• follow https://intranet.grid5000.fr/ganglia/?r=2hr&cs=&ce=&m=load_one&s=by+name&c=Nancy&tab=m&vn=&hide-hf=false
• then choose a node (eg. grue-2)

If your experiments do not require all the GPU of a single node, it is possible to reserve GPU³ at the resource level (see https://grid5000.fr/w/News#Enabling_GPU_level_resource_reservation_in_OAR for some examples). You can also use the nvidia-smi and htop commands on your reserved nodes to get more information about your GPU/CPU usage.

This cluster has been funded by Ihe CPER LCHN project (Langues, Connaissances & Humanités Numériques, Contrat de plan État / Région Lorraine 2015-2020), and the LARSEN and MULTISPEECH teams at LORIA / Inria Nancy Grand Est.

As a reminder, since this cluster is part of the "production" queue, specific usage rules apply.

¹: https://www.grid5000.fr/w/Hardware

²: https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/tesla-t4/t4-tensor-core-d...

Grid'5000 users survey

We are conducting a survey to help us better understand your needs and make Grid'5000 a better research infrastructure.

We thank you in advance for taking a few minutes to complete it (you can answer in French if you prefer).

The survey is available at:

https://sondages.inria.fr/index.php/672895

It will be open until December, 13rd.

-- Grid'5000 Team 15:00, November 26th 2019 (CET)

New cluster "gemini" available at Lyon

We have the pleasure to announce you the availability of the new cluster "gemini" at Lyon.

Gemini includes two "Nvidia DGX-1" nodes, each with 8 Nvidia V100 GPUs, 2 Intel Xeon E5-2698 v4 @ 2.20GHz CPUs, 512GB DDR4, Infiniband EDR and 10Gbps Ethernet interfaces and 4 reservable¹ SSD disks.

Energy monitoring is also available for this cluster, provided by the same devices used for the other clusters in Lyon².

Remember that if you don't need the 8 GPUs, individual GPU may be reserved³. A script to install nvidia-docker is also available if you want to use Nvidia's images built for Docker⁴.

This cluster has been funded by the CPER LECO++ Project (FEDER, Région Auvergne-Rhone-Alpes, DRRT, Inria).

¹: https://www.grid5000.fr/w/Disk_reservation

²: https://www.grid5000.fr/w/Energy_consumption_monitoring_tutorial

³: https://www.grid5000.fr/w/Accelerators_on_Grid5000#Reserving_GPU_units_on_nodes_with_many_GPUs

⁴: https://www.grid5000.fr/w/Docker#Nvidia-docker

-- Grid'5000 Team 15:00, November 12th 2019 (CET)