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Masaryk University operates the most advanced AI computing system

29. 5. 2023

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[av_heading heading=’Masaryk University has become a pioneer in artificial intelligence (AI) and computing technology by installing the latest and most advanced NVIDIA DGX H100 system. It is the first solution of its kind in the region, bringing extreme computing power and innovative research capabilities.‘ 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-li8ku1pi‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]
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[av_heading heading=’Who uses the DGX H100 system‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=’25‘ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=’15‘ 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=’0′ 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=’manually,http://‘ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-hzpo02r‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

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CERIT-SC at Masaryk University and their newly installed NVIDIA DGX H100 system open the door to close collaboration with scientists from all over the region through e-INFRA CZ. This prestigious network brings together leading research centres and institutions from the Czech Republic that focus on advanced computing technologies and research in the field of artificial intelligence. We have been involved in the e-INFRA CZ project with previous infrastructure deliveries, more here.
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CERIT-SC is part of the national e-infrastructure, which is a complex system of interconnected network, computing and storage capacities and related services for the research community in the Czech Republic. CERIT-SC complements the other two components of the national e-infrastructure – the CESNET association and the IT4Innovations supercomputer centre.

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Scientists connected to e-INFRA CZ will have access to NVIDIA DGX H100 resources at Masaryk University and will be able to use its computing capacity for their projects. This collaboration will provide an environment for innovative research and development in AI and accelerate progress in areas such as machine learning, big data analytics and AI application development.
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e-INFRA CZ is a unique e-infrastructure for research and development in the Czech Republic, which represents a transparent environment providing comprehensive capacity and resources for the transfer, storage and processing of scientific data to all entities engaged in research and development, regardless of the sector in which it is carried out. It creates a communication, information, storage and computing base for research and development at national and international level and provides a comprehensive portfolio of ICT services without which modern research and development cannot be realised.

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[av_image src=’https://mcomputers.algaweb.site/wp-content/uploads/2023/05/DGX-H100-elapsed-850×1030.jpg‘ attachment=’26299′ attachment_size=’large‘ copyright=“ caption=“ image_size=“ styling=“ box_shadow=’none‘ box_shadow_width=’10‘ box_shadow_color=“ align=’center‘ font_size=“ overlay_opacity=’0.4′ overlay_color=’#000000′ overlay_text_color=’#ffffff‘ link=’lightbox‘ target=“ animation=’right-to-left‘ animation_duration=’1.5′ animation_custom_bg_color=“ animation_z_index_curtain=’100′ parallax_parallax=“ parallax_parallax_speed=“ av-desktop-parallax_parallax=“ av-desktop-parallax_parallax_speed=“ av-medium-parallax_parallax=“ av-medium-parallax_parallax_speed=“ av-small-parallax_parallax=“ av-small-parallax_parallax_speed=“ av-mini-parallax_parallax=“ av-mini-parallax_parallax_speed=“ hover=“ blur_image=“ grayscale_image=“ fade_image=“ appearance=“ css_position=“ css_position_location=‘,,,‘ css_position_z_index=“ av-desktop-css_position=“ av-desktop-css_position_location=‘,,,‘ av-desktop-css_position_z_index=“ av-medium-css_position=“ av-medium-css_position_location=‘,,,‘ av-medium-css_position_z_index=“ av-small-css_position=“ av-small-css_position_location=‘,,,‘ av-small-css_position_z_index=“ av-mini-css_position=“ av-mini-css_position_location=‘,,,‘ av-mini-css_position_z_index=“ transform_perspective=“ transform_rotation=‘,,,‘ transform_scale=‘,,‘ transform_skew=‘,‘ transform_translate=‘,,‘ av-desktop-transform_perspective=“ av-desktop-transform_rotation=‘,,,‘ av-desktop-transform_scale=‘,,‘ av-desktop-transform_skew=‘,‘ av-desktop-transform_translate=‘,,‘ av-medium-transform_perspective=“ av-medium-transform_rotation=‘,,,‘ av-medium-transform_scale=‘,,‘ av-medium-transform_skew=‘,‘ av-medium-transform_translate=‘,,‘ av-small-transform_perspective=“ av-small-transform_rotation=‘,,,‘ av-small-transform_scale=‘,,‘ av-small-transform_skew=‘,‘ av-small-transform_translate=‘,,‘ av-mini-transform_perspective=“ av-mini-transform_rotation=‘,,,‘ av-mini-transform_scale=‘,,‘ av-mini-transform_skew=‘,‘ av-mini-transform_translate=‘,,‘ mask_overlay=“ mask_overlay_shape=’blob‘ mask_overlay_size=’contain‘ mask_overlay_scale=’100%‘ mask_overlay_position=’center center‘ mask_overlay_repeat=’no-repeat‘ mask_overlay_rotate=“ mask_overlay_rad_shape=’circle‘ mask_overlay_rad_position=’center center‘ mask_overlay_opacity1=’0′ mask_overlay_opacity2=’1′ mask_overlay_opacity3=“ title_attr=’Mgr. Petr Hurtík, Ph.D. | Foto:‘ alt_attr=“ img_scrset=“ lazy_loading=’enabled‘ id=“ custom_class=“ template_class=“ av_element_hidden_in_editor=’0′ av_uid=’av-g4qiqeb‘ sc_version=’1.0′ admin_preview_bg=“][/av_image]

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✓ Being able to train big deep learning models thanks to GPUs memory size.
✓ Faster processing of large datasets
✓ Ability to work on multiple projects simultaneously

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✓ speach recognition analysis
✓ 3D image reconstruction
✓ detection of neurodegenerative diseases

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✓ TensorFlow / Keras
✓ PyTorch / PyTorch Lighting
✓ CUDA, cuDNN

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[av_heading heading='“The purchase and installation of the NVIDIA DGX H100 system is an important milestone for CERIT-SC and the entire e-INFRA CZ infrastructure. This system takes our AI capabilities to a whole new level and opens up a wide range of new research opportunities for our students and scientists.“‚ tag=’h3′ style=’blockquote classic-quote classic-quote-right‘ subheading_active=’subheading_below‘ 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-li96fune‘ sc_version=’1.0′ admin_preview_bg=“]
– RNDr. Lukáš Hejtmánek, Ph.D. –
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[av_heading heading=’What makes the NVIDIA DGX system special?‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=’25‘ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=’15‘ 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=’30‘ 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=’manually,http://‘ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-li96igpa‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

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[av_iconlist_item title=’This system is equipped with the latest NVIDIA H100 GPUs (graphics processing units), which provide up to 10x more performance compared to the previous generation NVIDIA A100 Ampere GPUs.‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li96one2′ sc_version=’1.0′]

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[av_iconlist_item title=’It offers extreme computing power of up to 32 PFLOPS (petaFLOPS), making it one of the most powerful AI and research solutions on the market.‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li96one2-43′ sc_version=’1.0′]

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[av_iconlist_item title=’The system supports the latest frameworks and libraries for machine and deep learning, such as TensorFlow, PyTorch, Caffe and others, allowing scientists and researchers to use a wide range of tools for their projects.‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li96one2-42′ sc_version=’1.0′][/av_iconlist_item]
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[av_iconlist_item title=’One of the exceptional features of the NVIDIA DGX H100 is its parallel processing capability, which enables rapid development and training of complex AI models.‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li96r4e0′ sc_version=’1.0′]

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[av_iconlist_item title=’NVIDIA DGX H100 supports high memory bandwidth and fast data transfers, enabling efficient handling of large datasets and complex analyses.‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li96rnwz‘ sc_version=’1.0′]

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[av_iconlist_item title=’The system is equipped with advanced cooling and energy management, ensuring reliable operation even under high load and contributing to efficient use of electricity.‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li96rve0′ sc_version=’1.0′][/av_iconlist_item]
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H100 80GB SXM5
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GPU cores
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GPU memory
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8x NVIDIA H100 80 GB
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Dual 56-core 4th Gen Intel Xeon CPU
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32x 64 GB DDR5
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8x single-port ConnectX-7 VPI 400 Gb/s InfiniBand / 200Gb/s Ethernet

2x dual-port ConnectX-7 VPI 400 Gb/s InfiniBand / 200Gb/s Ethernet
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2x 1,92 TB NVMe M.2

8x 3,84 TB NVMe U.2
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10 Gb/s onboard NIC (RJ45)
50 GbE optional NIC
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RAM
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NVMe for OS
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NVMe for data
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[av_heading heading=’Technical specification‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ size=’25‘ av-desktop-font-size-title=“ av-medium-font-size-title=“ av-small-font-size-title=“ av-mini-font-size-title=“ subheading_size=’15‘ 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=’30‘ 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=’manually,http://‘ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-li9akt6j‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

NVIDIA DGX systems aren’t just cutting-edge hardware, they also come with innovative enhancements for easier infrastructure management and AI implementation. They feature a fine-tuned Docker environment and DGX OS, in addition to the new NVIDIA Base Command tool that enables efficient management of the entire infrastructure. This simplifies the deployment and implementation of AI applications for research and development teams.

The system also includes the NVIDIA AI Enterprise (NVAIE) software stack, which provides a complete set of tools for developing and optimizing AI applications. This combination of technologies facilitates and accelerates the process of developing and deploying AI solutions across the entire infrastructure.

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[av_iconlist_item title=’8x NVIDIA H100 GPU with 640 gigabytes of total GPU memory‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li9aebgk‘ sc_version=’1.0′]
18x NVIDIA NVLink per GPU, 900 GB/s bidirectional throughput between GPUs.
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[av_iconlist_item title=’Two Intel Xeon Platinum 8480C processors, 112 cores and 2 TB of system memory‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li9ai4la‘ sc_version=’1.0′]
Powerful processors for the most demanding AI tasks
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[av_iconlist_item title=’30 Terabyte NVMe SSD‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li9ai4la-2′ sc_version=’1.0′]
High-speed storage for maximum performance
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[av_iconlist_item title=’4x NVIDIA NVSwitch‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li9afovc‘ sc_version=’1.0′]
7.2 terabytes per second of bi-directional GPU-to-GPU bandwidth, 1.5x more than the previous generation
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[av_iconlist_item title=’10x NVIDIA ConnectX-7 400 GB/s network interface‘ icon=’ue812′ font=’entypo-fontello‘ heading_tag=“ heading_class=“ link=“ linktarget=“ linkelement=“ av_uid=’av-li9ahd2c‘ sc_version=’1.0′]
1 TB/s of peak bidirectional network bandwidth
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8U (rack unit) size and maximum system power consumption of 10.2 kW at a theoretical power of 32 petaFLOPS

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AI Enterprise – optimized software suite for AI
Base Command – sw for orchestration, planning and cluster management
Operating System – DGX OS / Ubuntu / Red Hat Enterprise Linux / Rocky
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[table id=6 /]
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[av_heading heading=’NVIDIA GPU Cloud (NGC)‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ 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_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ padding=’0′ icon_padding=’10‘ headline_padding=“ headline_padding_sync=’true‘ link=’manually,http://‘ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-5wb2ldv‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

NVIDIA GPU Cloud (NGC) represents the repository of the most used frameworks for machine learning and deep learning applications, HPC applications, or NVIDIA GPU cards accelerated visualization. Deploying these applications is a question minutes — copying a link of the appropriate Docker image from the NGC repository, moving it on the DGX system, and downloading and running the Docker container.

The individual development environments – versions of all included libraries and frameworks, settings of environment parameters – are updated and optimized by NVIDIA for deployment on DGX systems. https://ngc.nvidia.com/

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[av_heading heading=’Software‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ 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_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ padding=’0′ icon_padding=’10‘ headline_padding=“ headline_padding_sync=’true‘ link=’manually,http://‘ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-82qiub‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

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What makes DGX systems the most different from bare-metal solutions is the software. All of them offer pre-installed and, above all, performance-tuned environments for machine learning (eg Caffe or Caffe 2, Theano, TensorFlow, Torch or MXNet) or an intuitive environment for data analytics (NVIDIA Digits). All of this is elegantly packed in Docker Containers. These constantly updated containers can be downloaded from the website NVIDIA GPU Cloud (NGC).

According to NVIDIA, such a tuned environment provides 30% higher performance for machine learning applications compared to applications deployed purely on NVIDIA hardware. However, the main advantage of a pre-installed environment is the speed of deployment, which can be fully operational in the order of hours.
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[av_heading heading=’Hardware and software support‘ tag=’h3′ style=“ subheading_active=“ show_icon=“ icon=’ue800′ font=’entypo-fontello‘ 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_font=“ subheading_color=“ seperator_color=“ icon_color=“ margin=“ margin_sync=’true‘ padding=’0′ icon_padding=’10‘ headline_padding=“ headline_padding_sync=’true‘ link=’manually,http://‘ link_target=“ id=“ custom_class=“ template_class=“ av_uid=’av-3lkhdv‘ sc_version=’1.0′ admin_preview_bg=“][/av_heading]

Software support for the entire environment is critical if something does not work as intended. The customer has hundreds of developers ready to help. Support is included with the purchase of all NVIDIA DGX systems. It is available for 3-5 years and can be extended beyond this period.
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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-6kpue9v‘ 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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Testing

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To test the performance and especially the speed of deployment of ML and AI applications, we have not only systems NVIDIA DGX Station A100 and within NVIDIA Tesla Test Drive Program also accelerators NVIDIA H100, A100, A30 and others, as well as demo licenses for GPU virtualization(vGPU) and a software environment for easy deployment of AI applications – NVIDIA AI Enterprise (NVAIE). 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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References

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