


{"id":292724,"date":"2023-07-12T10:02:05","date_gmt":"2023-07-12T10:02:05","guid":{"rendered":"\/forum\/forums\/topic\/problem-with-ansys-fluent-gpu-accelaration\/"},"modified":"2023-07-12T10:02:05","modified_gmt":"2023-07-12T10:02:05","slug":"problem-with-ansys-fluent-gpu-accelaration","status":"closed","type":"topic","link":"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/problem-with-ansys-fluent-gpu-accelaration\/","title":{"rendered":"Problem with Ansys Fluent GPU accelaration"},"content":{"rendered":"<p>Question: Ansys Fluent on RTX 3090 Ti and on Quadro RTX A4000 is not working<\/p>\n<p>I am using Ansys Fluent (Research Licence) with the NVIDIA GeForce RTX 3090 Ti, 24GB (Zotac AMP Extreme Holo Bulk) and I also have the Quadro RTX A4000. However Ansys Fluent is accepting eather one of the GPUs as shown in this command:<\/p>\n<p>Calculation complete.<br \/>CUDA visible GPUs on WING49H<br \/>&nbsp; CUDA runtime version 6000<br \/>&nbsp; Driver version 12020<br \/>&nbsp; Number of GPUs 2<br \/>&nbsp; &nbsp; 0. NVIDIA GeForce RTX 3090 Ti (*)<br \/>&nbsp; &nbsp; &nbsp; &nbsp;84 SMs<br \/>&nbsp; &nbsp; &nbsp; &nbsp;1.86 GHz<br \/>&nbsp; &nbsp; &nbsp; &nbsp;25.7567 GBytes<br \/>&nbsp; &nbsp; 1. NVIDIA RTX A4000 (*)<br \/>&nbsp; &nbsp; &nbsp; &nbsp;48 SMs<br \/>&nbsp; &nbsp; &nbsp; &nbsp;1.56 GHz<br \/>&nbsp; &nbsp; &nbsp; &nbsp;17.171 GBytes<\/p>\n<p>I am using the Pressure Coupled Solver and the GPU is selected to run it. I tried it with each GPU seperate, but it still wont work. When i start the timebased calculation, the CPU is used 100%, but the selevted GPU (*) is only in use for 2% or 0%, which suggests that the GPU isnt in use at all!<\/p>\n<p>I have a big problem, because Ansys wont use the RTX Geforce GPU nor the Quadro RTX A4000 for the calculation within Ansys Fluent. I have istalled the newest drivers for the GPU cards and i use Ansys 2023 R1.<\/p>\n<p>Can someone help me with the problem or show me a workaround? Why won&acute;t Ansys use the selected GPU, even if only one is selected: <br \/>CUDA visible GPUs on WING49H<br \/>&nbsp; CUDA runtime version 6000<br \/>&nbsp; Driver version 12020<br \/>&nbsp; Number of GPUs 2<br \/>&nbsp; &nbsp; 0. NVIDIA GeForce RTX 3090 Ti <br \/>&nbsp; &nbsp; &nbsp; &nbsp;84 SMs<br \/>&nbsp; &nbsp; &nbsp; &nbsp;1.86 GHz<br \/>&nbsp; &nbsp; &nbsp; &nbsp;25.7567 GBytes<br \/>&nbsp; &nbsp; 1. NVIDIA RTX A4000 (*)<br \/>&nbsp; &nbsp; &nbsp; &nbsp;48 SMs<br \/>&nbsp; &nbsp; &nbsp; &nbsp;1.56 GHz<br \/>&nbsp; &nbsp; &nbsp; &nbsp;17.171 GBytes<\/p>\n<p>With best regards<\/p>\n","protected":false},"template":"","class_list":["post-292724","topic","type-topic","status-closed","hentry","topic-tag-fluent-ansys-1","topic-tag-GPGPU-1","topic-tag-gpu-acceleration"],"aioseo_notices":[],"acf":[],"custom_fields":[{"0":{"_bbp_subscription":["288193","199"],"_bbp_author_ip":["23.217.200.71"]," _bbp_last_reply_id":["0"]," _bbp_likes_count":["0"],"_btv_view_count":["3590"],"_bbp_topic_status":["unanswered"],"_bbp_status":["publish"],"_bbp_topic_id":["292724"],"_bbp_forum_id":["27792"],"_bbp_engagement":["199","288193"],"_bbp_voice_count":["2"],"_bbp_reply_count":["6"],"_bbp_last_reply_id":["293841"],"_bbp_last_active_id":["293841"],"_bbp_last_active_time":["2023-07-19 12:24:26"]},"test":"pebehs-furtwangen-de"}],"_links":{"self":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics\/292724","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics"}],"about":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/types\/topic"}],"version-history":[{"count":0,"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics\/292724\/revisions"}],"wp:attachment":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/media?parent=292724"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}