Differences

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--- hpc:hpc_clusters [2026/07/27 13:33] – Adrien Albert
+++ hpc:hpc_clusters [2026/10/09 08:14] (current) – [GPUs models available] Yann Sagon
@@ Line 183: / Line 183: @@
 | [[https://www.amd.com/en/support/downloads/drivers.html/processors/epyc/epyc-7001-series/amd-epyc-7601.html#amd_support_product_spec | EPYC-7601]] | V7 | Naples | 32 | 2.2GHz |
 | [[https://www.amd.com/en/products/processors/server/epyc/7002-series.html | EPYC-7302P]] | V8 | Rome | 16 | 3.0GHz |
-| EPYC-7742 | V8 | Rome | 64 | 2.25GHz |
+| [[https://www.amd.com/en/support/downloads/drivers.html/processors/epyc/epyc-7002-series/amd-epyc-7742.html | EPYC-7742]] | V8 | Rome | 64 | 2.25GHz |
 | [[https://ark.intel.com/content/www/us/en/ark/products/193954/intel-xeon-gold-6234-processor-24-75m-cache-3-30-ghz.html | GOLD-6234]] | V9 | Cascade Lake | 8 | 3.30GHz |
 | [[https://ark.intel.com/content/www/fr/fr/ark/products/192443/intel-xeon-gold-6240-processor-24-75m-cache-2-60-ghz.html | GOLD-6240]] | V9 | Cascade Lake | 18 | 2.60GHz |
@@ Line 189: / Line 189: @@
 | [[https://ark.intel.com/content/www/fr/fr/ark/products/193390/intel-xeon-silver-4208-processor-11m-cache-2-10-ghz.html | SILVER-4208]] | V9 | Cascade Lake | 8 | 2.10GHz |
 | [[https://www.intel.com/content/www/us/en/products/sku/197098/intel-xeon-silver-4210r-processor-13-75m-cache-2-40-ghz/specifications.html | SILVER-4210R]] | V9 | Cascade Lake | 10 | 2.6GHz |
+| [[https://amperecomputing.com/briefs/ampereone-family-product-brief | AMPEREONE-A192-26X]] | V10 | ARM AmperOne | 192 | 2.6GHz |
 | [[https://www.amd.com/en/products/processors/server/epyc/7003-series/amd-epyc-72f3.html | EPYC-72F3]] | V10 | Milan | 8 | 3.7GHz |
 | [[https://www.amd.com/fr/products/processors/server/epyc/7003-series/amd-epyc-7763.html | EPYC-7763]] | V10 | Milan | 64 | 2.45GHz |
@@ Line 194: / Line 195: @@
 | [[https://www.amd.com/en/products/processors/server/epyc/4th-generation-9004-and-8004-series/amd-epyc-9654.html | EPYC-9654]] | V12 | Genoa | 96 | 3.70GHz |
 | [[https://www.amd.com/en/products/processors/server/epyc/4th-generation-9004-and-8004-series/amd-epyc-9754.html | EPYC-9754]] | V13 | Genoa | 128 | 3.70GHz |
 ==== GPUs models available ====
 Several GPU models are available across the three clusters. The table below summarizes the available resources.
@@ Line 204: / Line 203: @@
 | [[https://www.nvidia.com/en-in/data-center/tesla-p100/ | P100]] | 12GB | tesla_p100-pcie-12gb | COMPUTE_TYPE_PASCAL | COMPUTE_CAPABILITY_6_0 | 8.0 → 12.9 | COMPUTE_MODEL_TESLA_P100_PCIE_12GB | 1 |
 | [[https://www.nvidia.com/en-us/geforce/20-series/ | RTX 2080 Ti]] | 11GB | nvidia_geforce_rtx_2080_ti | COMPUTE_TYPE_TURING | COMPUTE_CAPABILITY_7_5 | 10.0 → 13.0 | COMPUTE_MODEL_NVIDIA_GEFORCE_RTX_2080_TI | 2 |
-| [[https://www.nvidia.com/fr-fr/geforce/graphics-cards/30-series/rtx-3080-3080ti/ | RTX 3080]] | 10GB | nvidia_geforce_rtx_3080 | COMPUTE_TYPE_AMPERE | COMPUTE_CAPABILITY_7_0 | 11.0 → 13.0 | COMPUTE_MODEL_NVIDIA_GEFORCE_RTX_3080 | 3 |
+| [[https://www.nvidia.com/fr-fr/geforce/graphics-cards/30-series/rtx-3080-3080ti/ | RTX 3080]] | 10GB | nvidia_geforce_rtx_3080 | COMPUTE_TYPE_AMPERE | COMPUTE_CAPABILITY_8_6 | 11.0 → 13.0 | COMPUTE_MODEL_NVIDIA_GEFORCE_RTX_3080 | 3 |
 | [[https://images.nvidia.com/content/technologies/volta/pdf/volta-v100-datasheet-update-us-1165301-r5.pdf | V100]] | 32GB | tesla_v100-pcie-32gb | COMPUTE_TYPE_VOLTA | COMPUTE_CAPABILITY_7_0 | 9.0 → 12.9 | COMPUTE_MODEL_TESLA_V100_PCIE_32GB | 3 |
 | [[https://www.nvidia.com/en-us/data-center/a100/ | A100 40GB]] | 40GB | nvidia_a100-pcie-40gb | COMPUTE_TYPE_AMPERE | COMPUTE_CAPABILITY_8_0 | 11.0 → 13.0 | COMPUTE_MODEL_NVIDIA_A100_PCIE_40GB | 5 |
@@ Line 215: / Line 214: @@
 | [[https://www.nvidia.com/en-us/products/workstations/rtx-5000/ | RTX 5000]] | 32GB | nvidia_rtx_5000 | COMPUTE_TYPE_ADA | COMPUTE_CAPABILITY_8_9 | 11.8 → 13.0 | COMPUTE_MODEL_NVIDIA_RTX_5000 | 9 |
 | [[https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5090/ | RTX 5090]] | 32GB | nvidia_geforce_rtx_5090 | COMPUTE_TYPE_BLACKWELL | COMPUTE_CAPABILITY_12_0 | 12.8 → 13.0 | COMPUTE_MODEL_NVIDIA_GEFORCE_RTX_5090 | 10 |
+| [[https://www.nvidia.com/en-us/data-center/rtx-pro-4500-blackwell-server-edition/ | RTX PRO 4500]] | 32GB | nvidia_rtx_pro_4500_blackwell | COMPUTE_TYPE_BLACKWELL | COMPUTE_CAPABILITY_12_0 | 12.8 → 13.0 | COMPUTE_MODEL_NVIDIA_RTX_PRO_4500_BLACKWELL | 10 |
 | [[https://www.nvidia.com/en-us/data-center/h100/ | H100]] | 94GB | nvidia_h100_nvl | COMPUTE_TYPE_HOPPER | COMPUTE_CAPABILITY_9_0 | 11.8 → 13.0 | COMPUTE_MODEL_NVIDIA_H100_NVL | 14 |
 | [[https://www.nvidia.com/en-us/data-center/rtx-pro-6000-blackwell-server-edition/ | RTX Pro 6000]] | 96GB | nvidia_rtx_pro_6000_blackwell | COMPUTE_TYPE_BLACKWELL | COMPUTE_CAPABILITY_9_0 | 12.8 → 13.0 | COMPUTE_MODEL_NVIDIA_RTX_PRO_6000_BLACKWELL | 16 |
@@ Line 221: / Line 221: @@
+<note tip>We don't have mixed GPUs models on the same node (except gpu027.baobab). Every GPU node has only one GPU model.</note>
-<note tip>We don't have mixed GPUs models on the same node. Every GPU node has only one GPU model.</note>
 See [[hpc::slurm#gpgpu_jobs|here]] how to request GPU for your jobs.