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Ansys User Conference 2023

14. 6. 2023

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[av_heading heading=’At the end of May, we attended the Ansys 2023 User Conference, where we presented the benefits of multi-GPU acceleration for physics computing and simulations using the latest NVIDIA accelerators. The results of testing of our partners using Ansys software and other interesting news were also presented.‘ tag=’h3′ style=’blockquote modern-quote modern-centered‘ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=“ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=“ av-desktop-font-size=“ av-medium-font-size=“ av-small-font-size=“ av-mini-font-size=“ icon_size=“ av-desktop-font-size-1=“ av-medium-font-size-1=“ av-small-font-size-1=“ av-mini-font-size-1=“ color=’meta-heading‘ custom_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ av-desktop-margin=“ av-desktop-margin_sync=’true‘ av-medium-margin=“ av-medium-margin_sync=’true‘ av-small-margin=“ av-small-margin_sync=’true‘ av-mini-margin=“ av-mini-margin_sync=’true‘ headline_padding=“ headline_padding_sync=’true‘ av-desktop-headline_padding=“ av-desktop-headline_padding_sync=’true‘ av-medium-headline_padding=“ av-medium-headline_padding_sync=’true‘ av-small-headline_padding=“ av-small-headline_padding_sync=’true‘ av-mini-headline_padding=“ av-mini-headline_padding_sync=’true‘ padding=’10‘ av-desktop-padding=“ av-medium-padding=“ av-small-padding=“ av-mini-padding=“ icon_padding=’10‘ av-desktop-icon_padding=“ av-medium-icon_padding=“ av-small-icon_padding=“ av-mini-icon_padding=“ link=“ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-livuk1f2′ sc_version=’1.0′ admin_preview_bg=“][/av_heading]
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[av_heading heading=’What was talked about‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=“ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=“ av-desktop-font-size=“ av-medium-font-size=“ av-small-font-size=“ av-mini-font-size=“ icon_size=“ av-desktop-font-size-1=“ av-medium-font-size-1=“ av-small-font-size-1=“ av-mini-font-size-1=“ color=“ custom_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ av-desktop-margin=“ av-desktop-margin_sync=’true‘ av-medium-margin=“ av-medium-margin_sync=’true‘ av-small-margin=“ av-small-margin_sync=’true‘ av-mini-margin=“ av-mini-margin_sync=’true‘ headline_padding=“ headline_padding_sync=’true‘ av-desktop-headline_padding=“ av-desktop-headline_padding_sync=’true‘ av-medium-headline_padding=“ av-medium-headline_padding_sync=’true‘ av-small-headline_padding=“ av-small-headline_padding_sync=’true‘ av-mini-headline_padding=“ av-mini-headline_padding_sync=’true‘ padding=’10‘ av-desktop-padding=“ av-medium-padding=“ av-small-padding=“ av-mini-padding=“ icon_padding=’10‘ av-desktop-icon_padding=“ av-medium-icon_padding=“ av-small-icon_padding=“ av-mini-icon_padding=“ link=“ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-livxo06x‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

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At the end of May, the Ansys 2023 User Conference was hosted by our long-time partner TechSoft Engineering, an official Ansys distributor.

The event was held in the beautiful surroundings of the OREA Resort Horal in Spindleruv Mlyn and focused on news and other topics from the Ansys software, which is one of the world’s top in the field of technical simulations and physical calculations.

During our lecture session, we presented the benefits of multi-GPU acceleration of these computations using the latest NVIDIA accelerators and also presented the results of our partners‘ testing using Ansys software.
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High performance

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Thanks to the high number of computational cores, multi-GPU acceleration brings significant speedup in computations and simulations. The use of multiple GPUs within a single system enables the processing of extremely demanding tasks and large mathematical models.

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Optimal use of resources

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The GPU accelerator can do the same type of computation not only faster, but more importantly, more efficiently and using less power. This results in lower cooling requirements for the entire system and even greater energy savings.

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Cost reduction

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With faster job processing and better energy efficiency, less hardware is needed to do the same amount of computation, which not only significantly reduces the initial purchase investment, but also saves space in your datacenter.

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[av_heading heading=’Ansys multi-GPU Solver‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=“ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=“ av-desktop-font-size=“ av-medium-font-size=“ av-small-font-size=“ av-mini-font-size=“ icon_size=“ av-desktop-font-size-1=“ av-medium-font-size-1=“ av-small-font-size-1=“ av-mini-font-size-1=“ color=“ custom_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ av-desktop-margin=“ av-desktop-margin_sync=’true‘ av-medium-margin=“ av-medium-margin_sync=’true‘ av-small-margin=“ av-small-margin_sync=’true‘ av-mini-margin=“ av-mini-margin_sync=’true‘ headline_padding=“ headline_padding_sync=’true‘ av-desktop-headline_padding=“ av-desktop-headline_padding_sync=’true‘ av-medium-headline_padding=“ av-medium-headline_padding_sync=’true‘ av-small-headline_padding=“ av-small-headline_padding_sync=’true‘ av-mini-headline_padding=“ av-mini-headline_padding_sync=’true‘ padding=’10‘ av-desktop-padding=“ av-medium-padding=“ av-small-padding=“ av-mini-padding=“ icon_padding=’10‘ av-desktop-icon_padding=“ av-medium-icon_padding=“ av-small-icon_padding=“ av-mini-icon_padding=“ link=“ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-liw490lq‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

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Ansys has made a significant focus in recent years on supporting compute acceleration on GPU cards. Probably the best optimization for real-time GPU computing is currently its Ansys Fluent software. It is a professional flow simulation software known for its advanced physical modelling capabilities and superior accuracy.

Its latest version (2023 R1) already includes an advanced multi-GPU solver that speeds up and streamlines a large number of calculations, whether it is simulating airflow around wind turbines or drone rotors or thermal heating of batteries and electric motors. With each release, the Fluent multi-GPU solver improves and delivers better and better results even on the same hardware.
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[av_heading heading=’M Computers represents NVIDIA on the Czech market in the Enterprise area of computing accelerators and AI systems. ‚ tag=’h3′ style=’blockquote modern-quote modern-centered‘ subheading_active=’subheading_below‘ show_icon=“ icon=’ue800′ font=“ size=’25‘ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=’15‘ av-medium-font-size=“ av-small-font-size=“ av-mini-font-size=“ icon_size=“ av-medium-font-size-1=“ av-small-font-size-1=“ av-mini-font-size-1=“ color=’custom-color-heading‘ custom_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ padding=’10‘ icon_padding=’10‘ headline_padding=“ headline_padding_sync=’true‘ link=’manually,http://‘ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-5s6envj‘ sc_version=’1.0′ admin_preview_bg=“]
We were the first company in Central and Eastern Europe to receive the highest ELITE PARTNER status, as well as NVIDIA AI Innovator and NVIDIA AI Champion awards.
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[av_heading heading=’GPU simulation testing‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=“ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=“ av-desktop-font-size=“ av-medium-font-size=“ av-small-font-size=“ av-mini-font-size=“ icon_size=“ av-desktop-font-size-1=“ av-medium-font-size-1=“ av-small-font-size-1=“ av-mini-font-size-1=“ color=“ custom_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ av-desktop-margin=“ av-desktop-margin_sync=’true‘ av-medium-margin=“ av-medium-margin_sync=’true‘ av-small-margin=“ av-small-margin_sync=’true‘ av-mini-margin=“ av-mini-margin_sync=’true‘ headline_padding=“ headline_padding_sync=’true‘ av-desktop-headline_padding=“ av-desktop-headline_padding_sync=’true‘ av-medium-headline_padding=“ av-medium-headline_padding_sync=’true‘ av-small-headline_padding=“ av-small-headline_padding_sync=’true‘ av-mini-headline_padding=“ av-mini-headline_padding_sync=’true‘ padding=’10‘ av-desktop-padding=“ av-medium-padding=“ av-small-padding=“ av-mini-padding=“ icon_padding=’10‘ av-desktop-icon_padding=“ av-medium-icon_padding=“ av-small-icon_padding=“ av-mini-icon_padding=“ link=“ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-liw4a0qd‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

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In preparation for the conference, together with our partners TechSoft and New Technologies – Research Center (NTC) from the University of West Bohemia in Pilsen, we managed to test selected GPU accelerators from our NVIDIA demo warehouse.

It features the latest and most powerful technologies – the NVIDIA DGX Station A100 workstation and NVIDIA H100, A100, A30, A16, A2 or e.g. RTX 6000 Ada Lovelace.

More details, measurement results and comments can be found in the downloadable presentations below.
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[av_heading heading=’Presentations to download‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=“ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=“ av-desktop-font-size=“ av-medium-font-size=“ av-small-font-size=“ av-mini-font-size=“ icon_size=“ av-desktop-font-size-1=“ av-medium-font-size-1=“ av-small-font-size-1=“ av-mini-font-size-1=“ color=“ custom_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ av-desktop-margin=“ av-desktop-margin_sync=’true‘ av-medium-margin=“ av-medium-margin_sync=’true‘ av-small-margin=“ av-small-margin_sync=’true‘ av-mini-margin=“ av-mini-margin_sync=’true‘ headline_padding=“ headline_padding_sync=’true‘ av-desktop-headline_padding=“ av-desktop-headline_padding_sync=’true‘ av-medium-headline_padding=“ av-medium-headline_padding_sync=’true‘ av-small-headline_padding=“ av-small-headline_padding_sync=’true‘ av-mini-headline_padding=“ av-mini-headline_padding_sync=’true‘ padding=’10‘ av-desktop-padding=“ av-medium-padding=“ av-small-padding=“ av-mini-padding=“ icon_padding=’10‘ av-desktop-icon_padding=“ av-medium-icon_padding=“ av-small-icon_padding=“ av-mini-icon_padding=“ link=“ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-liw6q1a1′ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

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[av_iconlist_item title=’NVIDIA – Multi-GPU acceleration‘ icon=’ue82d‘ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=’manually,https://mcomputers.algaweb.site/wp-content/uploads/2023/06/Multi-GPU-akcelerace-technologie-pro-budoucnost-simulaci_Jerabkova_MComputers.pdf‘ linktarget=’_blank‘ linkelement=’both‘ av_uid=’av-liw3t0qg‘ sc_version=’1.0′]
Kamila Jeřábková (M Computers)
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[av_iconlist_item title=’Ansys Fluent on GPU virtually‘ icon=’ue82d‘ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=’manually,https://mcomputers.algaweb.site/wp-content/uploads/2023/06/Ansys-Fluent-na-GPU-prakticky_Knourek_ZCU.pdf‘ linktarget=’_blank‘ linkelement=’both‘ av_uid=’av-liw4uk5w‘ sc_version=’1.0′]
Jindřich Kňourek (NTC)
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[av_iconlist_item title=’GPU usage options with Ansys programs‘ icon=’ue82d‘ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=’manually,https://mcomputers.algaweb.site/wp-content/uploads/2023/06/Moznosti-uziti-GPU-s-programy-Ansys_Mostek_TechSoft.pdf‘ linktarget=’_blank‘ linkelement=’both‘ av_uid=’av-liw4vitw‘ sc_version=’1.0′]
Michal Moštěk (TechSoft)
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Testing

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To test the performance and speed of deploying ML and AI applications, we not only have NVIDIA DGX Station A100 systems and NVIDIA A100 accelerators as part of the NVIDIA Tesla Test Drive program, but also demo licenses for GPU virtualization (vGPU) and NVIDIA AI Enterprise. If you are interested in our testing offer, please fill out this form.
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Kamila Jeřábková

Product Manager NVIDIA

M: 734 161 516
[email protected]

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More news

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