Differences

This shows you the differences between two versions of the page.

--- hpc:hpc_clusters [2026/10/09 08:13] – [CPUs models available] Yann Sagon
+++ hpc:hpc_clusters [2026/10/09 08:14] (current) – [GPUs models available] Yann Sagon
@@ Line 203: / 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 214: / 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 220: / 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.