{"id":279493,"date":"2026-04-08T12:19:53","date_gmt":"2026-04-08T19:19:53","guid":{"rendered":"https:\/\/hypertecsp.com\/?page_id=279493"},"modified":"2026-04-08T12:19:58","modified_gmt":"2026-04-08T19:19:58","slug":"nvidia-rubin","status":"publish","type":"page","link":"https:\/\/hypertecsp.com\/en-CA\/partners\/nvidia\/nvidia-rubin\/","title":{"rendered":"NVIDIA Rubin"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; module_class=&#8221;partners-nav-container&#8221; _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#000000&#8243; positioning=&#8221;fixed&#8221; vertical_offset=&#8221;135px&#8221; z_index=&#8221;98&#8243; vertical_offset_tablet=&#8221;-55px&#8221; vertical_offset_phone=&#8221;-55px&#8221; vertical_offset_last_edited=&#8221;on|phone&#8221; position_origin_a_tablet=&#8221;&#8221; position_origin_a_phone=&#8221;&#8221; position_origin_a_last_edited=&#8221;on|tablet&#8221; position_origin_f_tablet=&#8221;&#8221; position_origin_f_phone=&#8221;&#8221; position_origin_f_last_edited=&#8221;on|tablet&#8221; position_origin_r_tablet=&#8221;&#8221; position_origin_r_phone=&#8221;&#8221; position_origin_r_last_edited=&#8221;on|tablet&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;17px||0px||false|false&#8221; positioning_tablet=&#8221;absolute&#8221; positioning_phone=&#8221;absolute&#8221; positioning_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text module_class=&#8221;partner-subnav&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; link_font=&#8221;Montserrat|500|||||||&#8221; link_text_color=&#8221;#FFFFFF&#8221; global_colors_info=&#8221;{}&#8221; link_text_color__hover_enabled=&#8221;on|hover&#8221; link_text_color__hover=&#8221;#FF7B02&#8243;]<\/p>\n<ul>\n<li><a href=\"#about\">About<\/a><\/li>\n<li><a href=\"#data\">Performance<\/a><\/li>\n<li><a href=\"#quickquote\">Get A Quote<\/a><\/li>\n<\/ul>\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;4.27.4&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_stops=&#8221;rgba(0,0,0,0.34) 0%|rgba(0,0,0,0.35) 99%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_image=&#8221;https:\/\/hypertecsp.com\/wp-content\/uploads\/Black-AdobeStock_437536605.jpg&#8221; parallax=&#8221;on&#8221; min_height=&#8221;350px&#8221; custom_margin=&#8221;55px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hypertecsp.com\/wp-content\/uploads\/nvidia-elite-partner-badge-rgb-for-screen.png&#8221; title_text=&#8221;nvidia-elite-partner-badge-rgb-for-screen&#8221; show_bottom_space=&#8221;off&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;25%&#8221; custom_margin=&#8221;||15px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Montserrat||||||||&#8221; text_text_color=&#8221;#FFFFFF&#8221; text_font_size=&#8221;24px&#8221; header_font=&#8221;Montserrat|700|||||||&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;48px&#8221; text_orientation=&#8221;center&#8221; custom_padding=&#8221;20px||||false|false&#8221; header_font_size_tablet=&#8221;48px&#8221; header_font_size_phone=&#8221;40px&#8221; header_font_size_last_edited=&#8221;on|desktop&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1 class=\"dsm_card_title et_pb_module_header\">NVIDIA\u00a0Vera CPU<\/h1>\n<p>[\/et_pb_text][dsm_button button_one_text=&#8221;Get a Quote&#8221; button_one_url=&#8221;#quickquote&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; custom_button_one=&#8221;on&#8221; button_one_text_size=&#8221;15px&#8221; button_one_text_color=&#8221;#FFFFFF&#8221; button_one_bg_color=&#8221;#FF7B02&#8243; button_one_border_width=&#8221;0px&#8221; button_one_border_color=&#8221;#FF7B02&#8243; button_one_border_radius=&#8221;52px&#8221; button_one_font=&#8221;Montserrat|600||on|||||&#8221; button_one_use_icon=&#8221;off&#8221; button_one_custom_padding=&#8221;10px|30px|10px|30px|true|true&#8221; custom_button_two=&#8221;on&#8221; button_two_text_size=&#8221;20px&#8221; button_two_text_color=&#8221;#3c3c3c&#8221; button_two_bg_color=&#8221;#FFFFFF&#8221; button_two_border_width=&#8221;0px&#8221; button_two_border_radius=&#8221;10px&#8221; button_two_font=&#8221;Ubuntu|300|||||||&#8221; button_two_icon=&#8221;&#x24;||divi||400&#8243; button_two_icon_color=&#8221;#ffb200&#8243; button_two_on_hover=&#8221;off&#8221; button_two_custom_margin_tablet=&#8221;&#8221; button_two_custom_margin_phone=&#8221;|||0px|false|false&#8221; button_two_custom_margin_last_edited=&#8221;on|phone&#8221; button_two_custom_padding=&#8221;10px|45px|10px|30px|true|false&#8221; custom_padding=&#8221;||||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; button_one_bg_color__hover_enabled=&#8221;on|desktop&#8221; button_one_bg_color__hover=&#8221;#000000&#8243; button_one_bg_enable_color__hover=&#8221;on&#8221; button_one_border_color__hover_enabled=&#8221;off|desktop&#8221; button_one_border_color__hover=&#8221;#FFFFFF&#8221; button_one_text_color__hover_enabled=&#8221;off|desktop&#8221; button_one_text_color__hover=&#8221;#FFFFFF&#8221;][\/dsm_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; module_id=&#8221;about&#8221; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][dsm_breadcrumbs show_home_icon=&#8221;off&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; items_font=&#8221;Montserrat|600|||||||&#8221; current_font=&#8221;Montserrat|600|||||||&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_breadcrumbs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; use_custom_gutter=&#8221;on&#8221; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; custom_css_main_element=&#8221;align-self: center;&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hypertecsp.com\/wp-content\/uploads\/AdobeStock_966252601-LR.jpg&#8221; alt=&#8221;Seagate Lyve&#8221; title_text=&#8221;AdobeStock_966252601-LR&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; filter_sepia=&#8221;30%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; border_width_all=&#8221;1px&#8221; border_color_all=&#8221;#FFFFFF&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; custom_css_main_element=&#8221;align-self: center;&#8221; global_colors_info=&#8221;{}&#8221;][dsm_text_notation before_text=&#8221;NVIDIA &#8221; notation_text=&#8221;Vera CPU&#8221; notation_color=&#8221;#FF7B02&#8243; notation_width=&#8221;2&#8243; notation_viewport=&#8221;71%&#8221; heading_html_tag=&#8221;h2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;Montserrat|700|||||||&#8221; header_text_color=&#8221;#000000&#8243; header_font_size=&#8221;36px&#8221; text_orientation=&#8221;left&#8221; custom_margin=&#8221;||10px||false|false&#8221; header_font_size_tablet=&#8221;&#8221; header_font_size_phone=&#8221;35px&#8221; header_font_size_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_text_notation][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Montserrat||||||||&#8221; text_text_color=&#8221;#000000&#8243; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>Built for Scalable Accelerated Systems<\/strong><\/p>\n<p>The NVIDIA<span>\u00ae<\/span>\u00a0Vera CPU is engineered to support agentic AI reasoning by managing data flow, memory access, and workflows across accelerated computing environments. Designed to integrate seamlessly with NVIDIA GPUs, Vera enhances AI system performance while also operating independently for analytics, cloud services, system orchestration, storage, and high-performance computing (HPC) workloads. Featuring high-performance, energy-efficient cores, extensive low-power memory bandwidth, and predictable latency, Vera helps maximize GPU utilization while delivering up to <strong>2\u00d7 the performance of the previous generation<\/strong> with exceptional energy efficiency.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=&#8221;data&#8221; _builder_version=&#8221;4.27.0&#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;4.18.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hypertecsp.com\/wp-content\/uploads\/rubin-email-header-rubin-chip-1360&#215;450-4801000.png&#8221; title_text=&#8221;rubin-email-header-rubin-chip-1360&#215;450-4801000&#8243; align=&#8221;center&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][dsm_advanced_tabs _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][dsm_advanced_tabs_child dsm_content_title=&#8221;NVIDIA Vera Rubin NVL72&#8243; dsm_content=&#8221;<\/p>\n<p>The Vera Rubin platform opens the next frontier of agentic AI with seven chips to scale the world\u2019s AI factories &#8211; the NVIDIA Vera CPU, NVIDIA Rubin GPU, NVIDIA NVLink&#x2122; 6 Switch, NVIDIA ConnectX\u00ae-9 SuperNIC, NVIDIA BlueField\u00ae-4 DPU and NVIDIA Spectrum&#x2122;-6 Ethernet switch, and the NVIDIA Groq 3 LPU. Designed to operate together as one incredible AI supercomputer, the chips power every phase of AI \u2014 from massive-scale pretraining, post-training and test-time scaling to real-time agentic inference.<\/p>\n<table width=%221500%22 style=%22width: 758px; height: 472px; margin-left: 40px;%22>\n<tbody style=%22padding-left: 40px;%22>\n<tr style=%22height: 24px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 24px; text-align: center; padding-left: 40px;%22><\/td>\n<td style=%22width: 152.047px; height: 24px; padding-left: 40px;%22><\/td>\n<td style=%22width: 221.297px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Power Efficiency <\/b><b>vs B300<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Perf <\/b><b>vs B300<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVFP4 Inference<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>3.6 EFLOPS<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>3.6X<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>5X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>FP8 Training<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>1.2 EFLOPS<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.5X<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>3.5X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>LPDDR5X Capacity<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>54TB<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.5X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>HBM Capacity<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>20.7 TB<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>1X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>HBM4 Bandwidth<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>1.6 PB\/s<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><strong><span style=%22color: #0097ff;%22>1.7X<\/span><\/strong><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.5X<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 221.672px; padding-left: 40px;%22>Scale-Up Bandwidth<\/td>\n<td style=%22width: 152.047px; padding-left: 40px;%22>260 TB\/s<\/td>\n<td style=%22width: 221.297px; padding-left: 40px;%22><strong><span style=%22color: #0097ff;%22>1.4X<\/span><\/strong><\/td>\n<td style=%22width: 134.984px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b><strong>2X<\/strong><\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 221.672px; padding-left: 40px;%22>NVL72 System Power<\/td>\n<td style=%22width: 152.047px; padding-left: 40px;%22>187 kw<\/td>\n<td style=%22width: 221.297px; padding-left: 40px;%22><strong><span style=%22color: #0097ff;%22><b> <\/b><\/span><\/strong><\/td>\n<td style=%22width: 134.984px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b><strong>1.4X<\/strong><\/b><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; content_title_font=&#8221;|700|||||||&#8221; content_title_text_color=&#8221;#0097ff&#8221; content_title_font_size=&#8221;24px&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_advanced_tabs_child][\/dsm_advanced_tabs][et_pb_image src=&#8221;https:\/\/hypertecsp.com\/wp-content\/uploads\/gpu-email-header-lpx-rack-1360&#215;427@2x-4990501-r3-scaled.jpg&#8221; title_text=&#8221;gpu-email-header-lpx-rack-1360&#215;427@2x-4990501-r3&#8243; align=&#8221;center&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][dsm_advanced_tabs _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][dsm_advanced_tabs_child dsm_content_title=&#8221;NVIDIA Rubin GPU&#8221; dsm_content=&#8221;<\/p>\n<div>\n<div>The <strong>NVIDIA Rubin GPU<\/strong> is NVIDIA\u2019s next\u2011generation data\u2011center GPU architecture, designed to dramatically scale AI training and inference while improving power efficiency. Rubin introduces the <strong>3rd\u2011generation Transformer Engine<\/strong> with native <strong>NVFP4<\/strong> support and hardware\u2011assisted adaptive sparsity, enabling higher throughput without sacrificing model accuracy.<\/div>\n<\/div>\n<table width=%221500%22 style=%22width: 758px; height: 472px; margin-left: 40px;%22>\n<tbody style=%22padding-left: 40px;%22>\n<tr style=%22height: 24px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 24px; text-align: center; padding-left: 40px;%22><\/td>\n<td style=%22width: 152.047px; height: 24px; padding-left: 40px;%22><\/td>\n<td style=%22width: 221.297px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Power Efficiency <\/b><b>vs B300<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Perf <\/b><b>vs B300<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVFP4 Inference<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>50 PFLOPS<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.9X<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>5X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVFP4 Training<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>35 PFLOPS<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.0X<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>3.5X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>HBM4 Bandwidth<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>22TB\/s<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2X<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.8X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVLink Bandwidth per GPU<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>3.6 TB\/s<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>1.2x<\/b><\/span><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2X<\/b><\/span><\/td>\n<\/tr>\n<tr style=%22height: 56px; padding-left: 40px;%22>\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVL8 System Power<\/td>\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>24 kW<\/td>\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><\/td>\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>1.7x<\/b><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div>Rubin features <strong>6th\u2011generation NVLink<\/strong> technology with <strong>3.6 TB\/s of scale\u2011up bandwidth per GPU<\/strong>, enabling fast all\u2011to\u2011all communication across large GPU clusters and rack\u2011scale systems such as NVL8 and NVL72. Together, these advances make Rubin a foundational building block for next\u2011generation AI factories\u2014delivering higher performance, better efficiency, and smaller hardware footprints for training and inference at scale.<\/div>\n<p>&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; content_title_font=&#8221;|700|||||||&#8221; content_title_text_color=&#8221;#0097ff&#8221; content_title_font_size=&#8221;24px&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_advanced_tabs_child][\/dsm_advanced_tabs][dsm_advanced_tabs dsm_aria_label=&#8221;NVIDIA Vera Rubin NVL72&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/dsm_advanced_tabs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; module_id=&#8221;quickquote&#8221; _builder_version=&#8221;4.18.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#3259a7&#8243; custom_padding=&#8221;40px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; header_text_align=&#8221;left&#8221; header_2_font=&#8221;Montserrat|700|||||||&#8221; header_2_text_align=&#8221;left&#8221; header_2_text_color=&#8221;#FFFFFF&#8221; header_2_font_size=&#8221;36px&#8221; custom_margin=&#8221;||15px||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Quick Quote<span style=\"color: #ff7b02;\">.<\/span><\/h2>\n<p>[\/et_pb_text][et_pb_text ul_type=&#8221;none&#8221; admin_label=&#8221;Title&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Poppins||||||||&#8221; text_text_color=&#8221;#FFFFFF&#8221; ul_font=&#8221;Poppins||||||||&#8221; ul_text_align=&#8221;center&#8221; header_font=&#8221;||||||||&#8221; header_2_font=&#8221;Poppins||||||||&#8221; header_2_text_align=&#8221;center&#8221; header_2_font_size=&#8221;24px&#8221; header_2_line_height=&#8221;1.4em&#8221; background_layout=&#8221;dark&#8221; custom_margin=&#8221;||15px|&#8221; custom_padding=&#8221;||20px||false|false&#8221; animation_style=&#8221;fade&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2 style=\"text-align: left;\">What can we quote you on today?<\/h2>\n<p>We monitor our inbox&#8217;s like a hawk. 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value='' \/>\n            \n        <\/div>\n                        <p style=\"display: none !important;\" class=\"akismet-fields-container\" data-prefix=\"ak_\"><label>&#916;<textarea name=\"ak_hp_textarea\" cols=\"45\" rows=\"8\" maxlength=\"100\"><\/textarea><\/label><input type=\"hidden\" id=\"ak_js_1\" name=\"ak_js\" value=\"171\"\/><script>\ndocument.getElementById( \"ak_js_1\" ).setAttribute( \"value\", ( new Date() ).getTime() );\n<\/script>\n<\/p><\/form>\n                        <\/div>[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>About Performance Get A Quote NVIDIA\u00a0Vera CPU<div class=\"et_pb_module dsm_button dsm_button_0 et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module_inner\">\n\t\t\t\t\t<div class=\"et_pb_button_module_wrappers dsm_button_0_wrapper et_pb_button_alignment_center et_pb_module\">\n\t\t\t\t<a class=\"et_pb_button 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class=\"et-pb-icon dsm_separator_icon\">5<\/span><\/li><\/ul>\n\t\t\t<\/nav>\n\t\t\t\t<\/div>\n\t\t\t<\/div><div class=\"et_pb_module dsm_text_notation dsm_text_notation_0  et_pb_text_align_left et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module_inner\">\n\t\t\t\t\t<h2 class=\"dsm-text-notation-main et_pb_module_header\"><span class=\"dsm-text-notation-before\">NVIDIA <\/span><span data-notation=\"[{&quot;type&quot;:&quot;underline&quot;,&quot;color&quot;:&quot;#FF7B02&quot;,&quot;stroke-width&quot;:&quot;2&quot;,&quot;iterations&quot;:&quot;2&quot;,&quot;brackets&quot;:&quot;left|right&quot;,&quot;viewport&quot;:&quot;71%&quot;,&quot;delay&quot;:&quot;0ms&quot;,&quot;divi-animate&quot;:&quot;none&quot;,&quot;divi-animate-duration&quot;:&quot;1000ms&quot;,&quot;divi-animate-delay&quot;:&quot;0ms&quot;}]\" class=\"dsm-text-notation-middle\">Vera CPU<\/span><\/h2>\n\t\t\t\t<\/div>\n\t\t\t<\/div>Built for Scalable Accelerated Systems The NVIDIA\u00ae\u00a0Vera CPU is engineered to support agentic AI reasoning by managing data flow, memory access, and workflows across accelerated computing environments. Designed to integrate seamlessly with NVIDIA GPUs, Vera enhances AI system performance while also operating independently for analytics, cloud services, system orchestration, storage, and high-performance computing (HPC) workloads. Featuring high-performance, energy-efficient cores, extensive low-power memory bandwidth, and predictable latency, Vera helps maximize GPU utilization while delivering up to 2\u00d7 the performance of the previous generation with exceptional energy efficiency.<div class=\"et_pb_module dsm_advanced_tabs dsm_advanced_tabs_0\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module_inner\">\n\t\t\t\t\t<div class=\"dsm-advanced-tabs-container\" data-trigger=\"click\" data-animation=\"none\" data-inner_animation=\"none\" data-deep_link=\"off\" data-image_lightbox=\"off\" data-auto_scroll_mobile=\"off\" data-anchor_link=\"off\">\n\t\t\t\t    <div class=\"dsm-advanced-tabs-wrapper\" role=\"tablist\"><\/div>\n\t\t\t\t <div class=\"dsm-advanced-tabs-content-wrapper\">\n\t\t\t\t    \n\t\t\t\t <\/div>\n\t\t     <\/div>\n\t\t    \n\t\t\t\t<\/div>\n\t\t\t<\/div><div class=\"dsm-advanced-tab-item-wrapper dsm_advanced_tabs_child_0\">\n\t\t\t\t<\/div>\n\t\t\t<\/p>\n","protected":false},"author":4,"featured_media":279481,"parent":277700,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"[et_pb_section fb_built=\"1\" module_class=\"partners-nav-container\" _builder_version=\"4.18.0\" _module_preset=\"default\" background_color=\"#000000\" positioning=\"fixed\" vertical_offset=\"135px\" z_index=\"98\" vertical_offset_tablet=\"-55px\" vertical_offset_phone=\"-55px\" vertical_offset_last_edited=\"on|phone\" position_origin_a_tablet=\"\" position_origin_a_phone=\"\" position_origin_a_last_edited=\"on|tablet\" position_origin_f_tablet=\"\" position_origin_f_phone=\"\" position_origin_f_last_edited=\"on|tablet\" position_origin_r_tablet=\"\" position_origin_r_phone=\"\" position_origin_r_last_edited=\"on|tablet\" custom_margin=\"||||false|false\" custom_padding=\"17px||0px||false|false\" positioning_tablet=\"absolute\" positioning_phone=\"absolute\" positioning_last_edited=\"on|desktop\" global_colors_info=\"{}\"][et_pb_row _builder_version=\"4.18.0\" _module_preset=\"default\" width=\"100%\" custom_margin=\"||||false|false\" custom_padding=\"0px||0px||false|false\" locked=\"off\" global_colors_info=\"{}\"][et_pb_column type=\"4_4\" _builder_version=\"4.18.0\" _module_preset=\"default\" global_colors_info=\"{}\"][et_pb_text module_class=\"partner-subnav\" _builder_version=\"4.27.4\" _module_preset=\"default\" link_font=\"Montserrat|500|||||||\" link_text_color=\"#FFFFFF\" global_colors_info=\"{}\" link_text_color__hover_enabled=\"on|hover\" link_text_color__hover=\"#FF7B02\"]<ul>\r\n\t<li><a href=\"#about\">About<\/a><\/li>\r\n\t<li><a href=\"#data\">Performance<\/a><\/li>\r\n\t<li><a href=\"#quickquote\">Get A Quote<\/a><\/li>\r\n<\/ul>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\"1\" _builder_version=\"4.27.4\" _module_preset=\"default\" use_background_color_gradient=\"on\" background_color_gradient_stops=\"rgba(0,0,0,0.34) 0%|rgba(0,0,0,0.35) 99%\" background_color_gradient_overlays_image=\"on\" background_image=\"https:\/\/hypertecsp.com\/wp-content\/uploads\/Black-AdobeStock_437536605.jpg\" parallax=\"on\" min_height=\"350px\" custom_margin=\"55px||||false|false\" global_colors_info=\"{}\"][et_pb_row _builder_version=\"4.18.0\" _module_preset=\"default\" custom_margin=\"||||false|false\" custom_padding=\"0px||0px||false|false\" global_colors_info=\"{}\"][et_pb_column type=\"4_4\" _builder_version=\"4.18.0\" _module_preset=\"default\" global_colors_info=\"{}\"][et_pb_image src=\"https:\/\/hypertecsp.com\/wp-content\/uploads\/nvidia-elite-partner-badge-rgb-for-screen.png\" title_text=\"nvidia-elite-partner-badge-rgb-for-screen\" show_bottom_space=\"off\" align=\"center\" _builder_version=\"4.27.0\" _module_preset=\"default\" width=\"25%\" custom_margin=\"||15px||false|false\" locked=\"off\" global_colors_info=\"{}\"][\/et_pb_image][et_pb_text _builder_version=\"4.27.4\" _module_preset=\"default\" text_font=\"Montserrat||||||||\" text_text_color=\"#FFFFFF\" text_font_size=\"24px\" header_font=\"Montserrat|700|||||||\" header_text_color=\"#FFFFFF\" header_font_size=\"48px\" text_orientation=\"center\" custom_padding=\"20px||||false|false\" hover_enabled=\"0\" header_font_size_tablet=\"48px\" header_font_size_phone=\"40px\" header_font_size_last_edited=\"on|desktop\" global_colors_info=\"{}\" sticky_enabled=\"0\"]<h1 class=\"dsm_card_title et_pb_module_header\">NVIDIA\u00a0Vera CPU<\/h1>[\/et_pb_text][dsm_button button_one_text=\"Get a Quote\" button_one_url=\"#quickquote\" button_alignment=\"center\" _builder_version=\"4.18.0\" _module_preset=\"default\" custom_button_one=\"on\" button_one_text_size=\"15px\" button_one_text_color=\"#FFFFFF\" button_one_bg_color=\"#FF7B02\" button_one_border_width=\"0px\" button_one_border_color=\"#FF7B02\" button_one_border_radius=\"52px\" 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button_one_text_color__hover_enabled=\"off|desktop\" button_one_text_color__hover=\"#FFFFFF\"][\/dsm_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\"1\" module_id=\"about\" _builder_version=\"4.19.2\" _module_preset=\"default\" custom_margin=\"||||false|false\" custom_padding=\"0px||0px||false|false\" global_colors_info=\"{}\"][et_pb_row _builder_version=\"4.17.6\" _module_preset=\"default\" global_colors_info=\"{}\"][et_pb_column type=\"4_4\" _builder_version=\"4.17.6\" _module_preset=\"default\" global_colors_info=\"{}\"][dsm_breadcrumbs show_home_icon=\"off\" _builder_version=\"4.17.6\" _module_preset=\"default\" items_font=\"Montserrat|600|||||||\" current_font=\"Montserrat|600|||||||\" custom_margin=\"||||false|false\" custom_padding=\"||||false|false\" global_colors_info=\"{}\"][\/dsm_breadcrumbs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\"1\" _builder_version=\"4.19.2\" _module_preset=\"default\" background_enable_color=\"off\" custom_padding=\"||||false|false\" global_colors_info=\"{}\"][et_pb_row column_structure=\"1_2,1_2\" use_custom_gutter=\"on\" make_equal=\"on\" _builder_version=\"4.18.0\" _module_preset=\"default\" global_colors_info=\"{}\"][et_pb_column type=\"1_2\" _builder_version=\"4.17.6\" _module_preset=\"default\" custom_css_main_element=\"align-self: center;\" global_colors_info=\"{}\"][et_pb_image src=\"https:\/\/hypertecsp.com\/wp-content\/uploads\/AdobeStock_966252601-LR.jpg\" alt=\"Seagate Lyve\" title_text=\"AdobeStock_966252601-LR\" _builder_version=\"4.27.4\" _module_preset=\"default\" filter_sepia=\"30%\" border_radii=\"on|30px|30px|30px|30px\" border_width_all=\"1px\" border_color_all=\"#FFFFFF\" locked=\"off\" global_colors_info=\"{}\"][\/et_pb_image][\/et_pb_column][et_pb_column type=\"1_2\" _builder_version=\"4.17.6\" _module_preset=\"default\" custom_css_main_element=\"align-self: center;\" global_colors_info=\"{}\"][dsm_text_notation before_text=\"NVIDIA \" notation_text=\"Vera CPU\" notation_color=\"#FF7B02\" notation_width=\"2\" notation_viewport=\"71%\" heading_html_tag=\"h2\" _builder_version=\"4.27.4\" _module_preset=\"default\" header_font=\"Montserrat|700|||||||\" header_text_color=\"#000000\" header_font_size=\"36px\" text_orientation=\"left\" custom_margin=\"||10px||false|false\" hover_enabled=\"0\" header_font_size_tablet=\"\" header_font_size_phone=\"35px\" header_font_size_last_edited=\"on|phone\" locked=\"off\" global_colors_info=\"{}\" sticky_enabled=\"0\"][\/dsm_text_notation][et_pb_text _builder_version=\"4.27.4\" _module_preset=\"default\" text_font=\"Montserrat||||||||\" text_text_color=\"#000000\" hover_enabled=\"0\" locked=\"off\" global_colors_info=\"{}\" sticky_enabled=\"0\"]<p><strong>Built for Scalable Accelerated Systems<\/strong><\/p>\r\n<p>The NVIDIA<span>\u00ae<\/span>\u00a0Vera CPU is engineered to support agentic AI reasoning by managing data flow, memory access, and workflows across accelerated computing environments. Designed to integrate seamlessly with NVIDIA GPUs, Vera enhances AI system performance while also operating independently for analytics, cloud services, system orchestration, storage, and high-performance computing (HPC) workloads. Featuring high-performance, energy-efficient cores, extensive low-power memory bandwidth, and predictable latency, Vera helps maximize GPU utilization while delivering up to <strong>2\u00d7 the performance of the previous generation<\/strong> with exceptional energy efficiency.<\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=\"data\" _builder_version=\"4.27.0\" _module_preset=\"default\" locked=\"off\" global_colors_info=\"{}\"][et_pb_column type=\"4_4\" _builder_version=\"4.18.0\" _module_preset=\"default\" global_colors_info=\"{}\"][et_pb_image src=\"https:\/\/hypertecsp.com\/wp-content\/uploads\/rubin-email-header-rubin-chip-1360x450-4801000.png\" title_text=\"rubin-email-header-rubin-chip-1360x450-4801000\" align=\"center\" _builder_version=\"4.27.4\" _module_preset=\"default\" global_colors_info=\"{}\"][\/et_pb_image][dsm_advanced_tabs _builder_version=\"4.27.4\" _module_preset=\"default\" global_colors_info=\"{}\"][dsm_advanced_tabs_child dsm_content_title=\"NVIDIA Vera Rubin NVL72\" dsm_content=\"<p>The Vera Rubin platform opens the next frontier of agentic AI with seven chips to scale the world\u2019s AI factories - the NVIDIA Vera CPU, NVIDIA Rubin GPU, NVIDIA NVLink\u2122 6 Switch, NVIDIA ConnectX\u00ae-9 SuperNIC, NVIDIA BlueField\u00ae-4 DPU and NVIDIA Spectrum\u2122-6 Ethernet switch, and the NVIDIA Groq 3 LPU. Designed to operate together as one incredible AI supercomputer, the chips power every phase of AI \u2014 from massive-scale pretraining, post-training and test-time scaling to real-time agentic inference.<\/p>\r\n<table width=%221500%22 style=%22width: 758px; height: 472px; margin-left: 40px;%22>\r\n<tbody style=%22padding-left: 40px;%22>\r\n<tr style=%22height: 24px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 24px; text-align: center; padding-left: 40px;%22><\/td>\r\n<td style=%22width: 152.047px; height: 24px; padding-left: 40px;%22><\/td>\r\n<td style=%22width: 221.297px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Power Efficiency <\/b><b>vs B300<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Perf <\/b><b>vs B300<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVFP4 Inference<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>3.6 EFLOPS<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>3.6X<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>5X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>FP8 Training<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>1.2 EFLOPS<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.5X<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>3.5X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>LPDDR5X Capacity<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>54TB<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.5X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>HBM Capacity<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>20.7 TB<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>1X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>HBM4 Bandwidth<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>1.6 PB\/s<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><strong><span style=%22color: #0097ff;%22>1.7X<\/span><\/strong><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.5X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=%22width: 221.672px; padding-left: 40px;%22>Scale-Up Bandwidth<\/td>\r\n<td style=%22width: 152.047px; padding-left: 40px;%22>260 TB\/s<\/td>\r\n<td style=%22width: 221.297px; padding-left: 40px;%22><strong><span style=%22color: #0097ff;%22>1.4X<\/span><\/strong><\/td>\r\n<td style=%22width: 134.984px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b><strong>2X<\/strong><\/b><\/span><\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=%22width: 221.672px; padding-left: 40px;%22>NVL72 System Power<\/td>\r\n<td style=%22width: 152.047px; padding-left: 40px;%22>187 kw<\/td>\r\n<td style=%22width: 221.297px; padding-left: 40px;%22><strong><span style=%22color: #0097ff;%22><b> <\/b><\/span><\/strong><\/td>\r\n<td style=%22width: 134.984px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b><strong>1.4X<\/strong><\/b><\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p> <\/p>\" _builder_version=\"4.27.4\" _module_preset=\"default\" content_title_font=\"|700|||||||\" content_title_text_color=\"#0097ff\" content_title_font_size=\"24px\" global_colors_info=\"{}\" parentOrderClass=\"dsm_advanced_tabs_0\"][\/dsm_advanced_tabs_child][\/dsm_advanced_tabs][et_pb_image src=\"https:\/\/hypertecsp.com\/wp-content\/uploads\/gpu-email-header-lpx-rack-1360x427@2x-4990501-r3-scaled.jpg\" title_text=\"gpu-email-header-lpx-rack-1360x427@2x-4990501-r3\" align=\"center\" _builder_version=\"4.27.4\" _module_preset=\"default\" global_colors_info=\"{}\"][\/et_pb_image][dsm_advanced_tabs _builder_version=\"4.27.4\" _module_preset=\"default\" global_colors_info=\"{}\"][dsm_advanced_tabs_child dsm_content_title=\"NVIDIA Rubin GPU\" dsm_content=\"<p> <\/p>\r\n<div>\r\n<div>The <strong>NVIDIA Rubin GPU<\/strong> is NVIDIA\u2019s next\u2011generation data\u2011center GPU architecture, designed to dramatically scale AI training and inference while improving power efficiency. Rubin introduces the <strong>3rd\u2011generation Transformer Engine<\/strong> with native <strong>NVFP4<\/strong> support and hardware\u2011assisted adaptive sparsity, enabling higher throughput without sacrificing model accuracy.<\/div>\r\n<\/div>\r\n<p> <\/p>\r\n<table width=%221500%22 style=%22width: 758px; height: 472px; margin-left: 40px;%22>\r\n<tbody style=%22padding-left: 40px;%22>\r\n<tr style=%22height: 24px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 24px; text-align: center; padding-left: 40px;%22><\/td>\r\n<td style=%22width: 152.047px; height: 24px; padding-left: 40px;%22><\/td>\r\n<td style=%22width: 221.297px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Power Efficiency <\/b><b>vs B300<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 24px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>Perf <\/b><b>vs B300<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVFP4 Inference<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>50 PFLOPS<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.9X<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>5X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVFP4 Training<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>35 PFLOPS<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.0X<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>3.5X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>HBM4 Bandwidth<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>22TB\/s<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2X<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2.8X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVLink Bandwidth per GPU<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>3.6 TB\/s<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>1.2x<\/b><\/span><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>2X<\/b><\/span><\/td>\r\n<\/tr>\r\n<tr style=%22height: 56px; padding-left: 40px;%22>\r\n<td style=%22width: 221.672px; height: 56px; padding-left: 40px;%22>NVL8 System Power<\/td>\r\n<td style=%22width: 152.047px; height: 56px; padding-left: 40px;%22>24 kW<\/td>\r\n<td style=%22width: 221.297px; height: 56px; padding-left: 40px;%22><\/td>\r\n<td style=%22width: 134.984px; height: 56px; padding-left: 40px;%22><span style=%22color: #0097ff;%22><b>1.7x<\/b><\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<p> <\/p>\r\n<div>Rubin features <strong>6th\u2011generation NVLink<\/strong> technology with <strong>3.6 TB\/s of scale\u2011up bandwidth per GPU<\/strong>, enabling fast all\u2011to\u2011all communication across large GPU clusters and rack\u2011scale systems such as NVL8 and NVL72. Together, these advances make Rubin a foundational building block for next\u2011generation AI factories\u2014delivering higher performance, better efficiency, and smaller hardware footprints for training and inference at scale.<\/div>\" _builder_version=\"4.27.4\" _module_preset=\"default\" content_title_font=\"|700|||||||\" content_title_text_color=\"#0097ff\" content_title_font_size=\"24px\" global_colors_info=\"{}\" parentOrderClass=\"dsm_advanced_tabs_1\"][\/dsm_advanced_tabs_child][\/dsm_advanced_tabs][dsm_advanced_tabs dsm_aria_label=\"NVIDIA Vera Rubin NVL72\" _builder_version=\"4.27.4\" _module_preset=\"default\" global_colors_info=\"{}\"][\/dsm_advanced_tabs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\"1\" module_id=\"quickquote\" _builder_version=\"4.18.0\" _module_preset=\"default\" background_color=\"#3259a7\" custom_padding=\"40px||||false|false\" global_colors_info=\"{}\"][et_pb_row column_structure=\"1_2,1_2\" _builder_version=\"4.17.6\" _module_preset=\"default\" custom_margin=\"||||false|false\" custom_padding=\"||0px||false|false\" global_colors_info=\"{}\"][et_pb_column type=\"1_2\" _builder_version=\"4.16\" _module_preset=\"default\" global_colors_info=\"{}\"][et_pb_text _builder_version=\"4.17.6\" _module_preset=\"default\" header_text_align=\"left\" header_2_font=\"Montserrat|700|||||||\" header_2_text_align=\"left\" header_2_text_color=\"#FFFFFF\" header_2_font_size=\"36px\" custom_margin=\"||15px||false|false\" custom_padding=\"||||false|false\" global_colors_info=\"{}\"]<h2>Quick Quote<span style=\"color: #ff7b02;\">.<\/span><\/h2>[\/et_pb_text][et_pb_text ul_type=\"none\" admin_label=\"Title\" _builder_version=\"4.27.4\" _module_preset=\"default\" text_font=\"Poppins||||||||\" text_text_color=\"#FFFFFF\" ul_font=\"Poppins||||||||\" ul_text_align=\"center\" header_font=\"||||||||\" header_2_font=\"Poppins||||||||\" header_2_text_align=\"center\" header_2_font_size=\"24px\" header_2_line_height=\"1.4em\" background_layout=\"dark\" custom_margin=\"||15px|\" custom_padding=\"||20px||false|false\" animation_style=\"fade\" global_module=\"266160\" global_colors_info=\"{}\"]<h2 style=\"text-align: left;\">What can we quote you on today?<\/h2>\r\n<p>We monitor our inbox's like a hawk. Send us your pricing needs and we'll get back to you ASAP.<\/p>\r\n<h2 style=\"text-align: left;\">What to expect<\/h2>\r\n<p><span data-ultimate-target=\"#list-icon-wrap-7894 .uavc-list-desc\" data-responsive-json-new=\"{\"font-size\":\"\",\"line-height\":\"\"}\">Expect an email from a Hypertec Solutions Partner representative after the form is submitted to schedule a discovery call or with the information requested.<\/span><\/p>\r\n<p>\u00a0<\/p>\r\n[\/et_pb_text][\/et_pb_column][et_pb_column type=\"1_2\" _builder_version=\"4.16\" _module_preset=\"default\" global_colors_info=\"{}\"][et_pb_code _builder_version=\"4.17.6\" _module_preset=\"default\" global_colors_info=\"{}\"][gravityform id=\"3\"][\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]","_et_gb_content_width":"","footnotes":""},"class_list":["post-279493","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA Rubin | Hypertec SP<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hypertecsp.com\/en-CA\/partners\/nvidia\/nvidia-rubin\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA Rubin | Hypertec SP\" \/>\n<meta property=\"og:description\" content=\"About Performance Get A Quote NVIDIA\u00a0Vera CPUBuilt for Scalable Accelerated Systems The NVIDIA\u00ae\u00a0Vera CPU is engineered to support agentic AI reasoning by managing data flow, memory access, and workflows across accelerated computing environments. Designed to integrate seamlessly with NVIDIA GPUs, Vera enhances AI system performance while also operating independently for analytics, cloud services, system orchestration, storage, and high-performance computing (HPC) workloads. 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