{"id":107431,"date":"2022-06-06T11:40:25","date_gmt":"2022-06-06T09:40:25","guid":{"rendered":"https:\/\/aixiabackup.dragster.digital\/our-offer\/nvidia-dgx-a100\/"},"modified":"2023-04-17T14:32:02","modified_gmt":"2023-04-17T12:32:02","slug":"nvidia-dgx-a100","status":"publish","type":"page","link":"https:\/\/aixiabackup.dragster.digital\/en\/our-offer\/nvidia-dgx-a100\/","title":{"rendered":"Nvidia DGX A100"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/aixiabackup.dragster.digital\/wp-content\/uploads\/2022\/06\/NVIDIA-DGX-A100-HERO.jpg&#8221; custom_padding=&#8221;146px||146px||true|false&#8221; custom_padding_tablet=&#8221;40px||||false|false&#8221; custom_padding_phone=&#8221;40px||||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.17.3&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.3&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; header_font=&#8221;|700|||||||&#8221; header_text_align=&#8221;left&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;80px&#8221; header_letter_spacing=&#8221;2px&#8221; header_line_height=&#8221;1.1em&#8221; custom_margin=&#8221;12px||1px||false|false&#8221; custom_padding=&#8221;0px|6px||6px|false|true&#8221; custom_padding_tablet=&#8221;|0px||0px|false|true&#8221; custom_padding_phone=&#8221;&#8221; custom_padding_last_edited=&#8221;on|phone&#8221; header_font_size_tablet=&#8221;&#8221; header_font_size_phone=&#8221;34px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 style=\"text-align: center;\"><span style=\"color: #;\">NVIDIA DGX A100<\/span><\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#FFFFFF&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_5,3_5,1_5&#8243; _builder_version=&#8221;4.17.3&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_5&#8243; _builder_version=&#8221;4.17.3&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.17.3&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_text_color=&#8221;#1b1b1b&#8221; text_font_size=&#8221;19px&#8221; text_line_height=&#8221;1.5em&#8221; header_font=&#8221;|700|||||||&#8221; header_font_size=&#8221;16px&#8221; header_2_font=&#8221;|700|||||||&#8221; header_2_text_align=&#8221;center&#8221; header_2_text_color=&#8221;#092435&#8243; header_2_font_size=&#8221;44px&#8221; header_2_line_height=&#8221;1.4em&#8221; custom_margin=&#8221;||||false|false&#8221; custom_margin_tablet=&#8221;-30px|||0px|false|false&#8221; custom_margin_phone=&#8221;-30px||||false|false&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding=&#8221;||||false|false&#8221; text_font_size_tablet=&#8221;16px&#8221; text_font_size_phone=&#8221;16px&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; header_2_font_size_tablet=&#8221;44px&#8221; header_2_font_size_phone=&#8221;30px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>The Universal System for AI Infrastructure<\/h3>\n<p><span style=\"text-decoration: underline;\"><strong><a class=\"btn-primary\" href=\"https:\/\/aixiabackup.dragster.digital\/en\/our-offer\/nvidia-dgx-a100\/#sign-up\">Sign up<\/a><\/strong><\/span><\/p>\n<h3><strong>The worlds first AI System built on NVIDIA A100<\/strong><\/h3>\n<p>NVIDIA DGX\u2122 A100 is the universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in the world&#8217;s first 5 petaFLOPS AI system. NVIDIA DGX A100 features the world&#8217;s most advanced accelerator, the NVIDIA A100 Tensor Core GPU, enabling enterprises to consolidate training, inference, and analytics into a unified, easy-to-deploy AI infrastructure that includes direct access to NVIDIA AI experts.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>high-performance computing<\/strong><\/h3>\n<p>A100 introduces double-precision Tensor Cores, providing the biggest milestone since the introduction of double-precision computing in GPUs for HPC. This enables researchers to reduce a 10-hour, double-precision simulation running on NVIDIA V100 Tensor Core GPUs to just four hours on A100. HPC applications can also leverage TF32 precision in A100&#8217;s Tensor Cores to achieve up to 10X higher throughput for single-precision dense matrix multiply operations.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Essential building block of the AI data center<\/strong><\/h3>\n<p><strong>The Universal System for Every AI Workload.<\/strong><\/p>\n<p>NVIDIA DGX A100 is the universal system for all AI infrastructure, from analytics to training to inference. It sets a new bar for compute density, packing 5 petaFLOPS of AI performance into a 6U form factor, replacing legacy infrastructure silos with one platform for every AI workload.<\/p>\n<p><strong>DGXperts: Integrated Access to AI Expertise<\/strong>.<\/p>\n<p>NVIDIA DGXperts are a global team of 14,000+ AI-fluent professionals who have built a wealth of experience over the last decade to help you maximize the value of your DGX investment.<\/p>\n<p><strong>Fastest Time To Solution.<\/strong><\/p>\n<p>NVIDIA DGX A100 is the world&#8217;s first AI system built on the NVIDIA A100 Tensor Core GPU. Integrating eight A100 GPUs, the system provides unprecedented acceleration and is fully optimized for NVIDIA CUDA-X\u2122 software and the end-to-end NVIDIA data center solution stack.<\/p>\n<p><strong>Unmatched Data Center Scalability.<\/strong><\/p>\n<p>NVIDIA DGX A100 features Mellanox ConnectX-6 VPI HDR InfiniBand\/Ethernet network adapters with 450 gigabytes per second (GB\/s) of peak bi-directional bandwidth. This is one of the many features that make DGX A100 the foundational building block for large AI clusters such as NVIDIA DGX SuperPOD\u2122, the enterprise blueprint for scalable AI infrastructure.<\/p>\n<p>&nbsp;<\/p>\n<table cellpadding=\"0\" cellspacing=\"0\">\n<tbody>\n<tr>\n<th colspan=\"2\">\n<h4><strong>DGX with NVIDIA A100<\/strong><\/h4>\n<\/th>\n<\/tr>\n<tr><\/tr>\n<\/tbody>\n<\/table>\n<table cellpadding=\"0\" cellspacing=\"0\">\n<tbody>\n<tr>\n<td><strong>GPUs<\/strong><\/td>\n<td>8x NVIDIA A100 Tensor Core GPUs<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU Memory<\/strong><\/td>\n<td>320 GB total<\/td>\n<\/tr>\n<tr>\n<td><strong>Perfomance<\/strong><\/td>\n<td>5 petaFLOPS AI<br \/>10 petaOPS INT8<\/td>\n<\/tr>\n<tr>\n<td><strong>NVIDIA NVSwitches<\/strong><\/td>\n<td>6<\/td>\n<\/tr>\n<tr>\n<td><strong>System Power Usage<\/strong><\/td>\n<td>6.5kW max<\/td>\n<\/tr>\n<tr>\n<td><strong>CPU<\/strong><\/td>\n<td>Dual AMD Rome 7742, 128 cores total, 2.25 GHz (base), 3.4 GHz (max boost)<\/td>\n<\/tr>\n<tr>\n<td><strong>system memory<\/strong><\/td>\n<td>1TB<\/td>\n<\/tr>\n<tr>\n<td><strong>Networking<\/strong><\/td>\n<td>8x Single-Port Mellanox ConnectX-6 VPI 200Gb\/s HDR InfiniBand, 1x Dual-Port Mellanox ConnectX-6 VPI, 10\/25\/50\/100\/200Gb\/s Ethernet<\/td>\n<\/tr>\n<tr>\n<td><strong>Storage<\/strong><\/td>\n<td>OS: 2x 1.92TB M.2 NVME drives Internal Storage: 15TB (4x 3.84TB) U.2 NVME drives<\/td>\n<\/tr>\n<tr>\n<td><strong>Software<\/strong><\/td>\n<td>Ubuntu Linux OS<\/td>\n<\/tr>\n<tr>\n<td><strong>System<\/strong><\/td>\n<td>271 lbs (123 kgs)<\/td>\n<\/tr>\n<tr>\n<td><strong>Packaged System Weight<\/strong><\/td>\n<td>315 lbs (143kgs)<\/td>\n<\/tr>\n<tr>\n<td><strong>System Dimensions<\/strong><\/td>\n<td>Height: 10.4 in (264.0 mm), Width: 19.0 in (482.3 mm) MAX, Length: 35.3 in (897.1 mm) MAX<\/td>\n<\/tr>\n<tr>\n<td><strong>Operating Temperature Range<\/strong><\/td>\n<td>5\u00baC to 30\u00baC (41\u00baF to 86\u00baF)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_5&#8243; _builder_version=&#8221;4.17.3&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; module_id=&#8221;sign-up&#8221; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_5,3_5,1_5&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_5&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><strong>Sign Up<\/strong><\/h2>\n<p>Sign up below to try one of the AI &amp; Deep Learning solutions available from Aixia. Following submission one of the experts from Aixia will be in touch to arrange your free trial. Please ensure you provide a valid phone number.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_5&#8243; _builder_version=&#8221;4.17.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA DGX A100The Universal System for AI Infrastructure Sign up The worlds first AI System built on NVIDIA A100 NVIDIA DGX\u2122 A100 is the universal system for all AI workloads, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":107356,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-107431","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/pages\/107431"}],"collection":[{"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/comments?post=107431"}],"version-history":[{"count":9,"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/pages\/107431\/revisions"}],"predecessor-version":[{"id":109408,"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/pages\/107431\/revisions\/109408"}],"up":[{"embeddable":true,"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/pages\/107356"}],"wp:attachment":[{"href":"https:\/\/aixiabackup.dragster.digital\/en\/wp-json\/wp\/v2\/media?parent=107431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}