[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-detail-672779-en":59,"doc-seo-672779-105":80},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":5,"data":60},{"doc_id":61,"user_id":62,"nickname":63,"user_avatar":64,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":66,"doc_content":67,"file_id":68,"file_url":69,"file_type":70,"file_size":71,"view_count":72,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":73,"language_code":74,"site_id":75,"html_lang":74,"table_of_contents":76,"faqs":77,"seo_title":78,"seo_description":66,"update_tm":79,"read_time":24},672779,962094509873,"putri.kecil17","https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","NVIDIA DGX Station A100 - Data Sheet - NOV20","NVIDIA DGX Station A100 is an AI workgroup server designed to deliver data center-class performance in an office-friendly appliance. It offers 2.5 petaFLOPS for training and 4.3x faster inference, supporting parallel training, inference, and analytics for multiple simultaneous users. Featuring four interconnected NVIDIA A100 Tensor Core GPUs with MIG capability, it can provide up to 28 separate GPU devices. With a workstation form factor, standard wall outlet power, server-grade components, and remote BMC management, it enables rapid setup and easy deployment without specialized IT infrastructure.","NVIDIA DGX STATION A100  \nWORKGROUP APPLIANCE FOR THEAGE OFAI  \nData science teams are at the leading edge of AI innovation, developing projects that can transform enterprises and our world. But they ' re often left searching for spare compute cycles that can help train the most complex models. These teams need a dedicated AI platform that can plugin anywhere and is fully optimized across hardware and software to deliver groundbreaking performance for multiple, simultaneous users anywhere in the world.  \nNVIDIA DGX Station™ A100 at a Glance  \n> AI workgroup server delivering 2.5 petaFLOPS of performance that your team can use without limits—for training , inference , and data analytics  \n> Server-grade , plug-and-go , and doesn’t require data center power and cooling  \n> World-class AI platform , with no complicated installation or IT help needed  \n> The world ’s only workstation-style system with four fully interconnected NVIDIA A100 Tensor Core GPUs and up to  \n320 gigabytes (GB) of GPU memory  \n> Delivers a fast-track to AI transformation with NVIDIA knowhow and experience  \nNVIDIA DGX Station A100 brings AI supercomputing to data science teams , offering data center technology without a datacenter or additional IT infrastructure. Designed for multiple , simultaneous users , DGX Station A100 leverages server-grade components in an office-friendly form factor. It 's the only system with four fully interconnected and Multi-Instance GPU ( MIG)-capable NVIDIA A100 Tensor Core GPUs with up to 320 GB of total GPU memory that can plug into a standard power outlet , resulting in a powerful AI appliance that you can place anywhere.  \nAI Supercomputing for Data Science Teams Effortlessly providing multiple , simultaneous users with a centralized AI resource , DGX Station A100 is the workgroup appliance for the age of AI. It ’s capable of running training , inference , and analytics workloads in parallel , and with MIG,  \nit can provide up to 28 separate GPU devices to individual  \n\n| DGX Station A100 Delivers Over 3X Faster The Training Performance |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| | 3.17 X 1X\u003Cbr>\u003Cbr>|  |  |  |\n|  | 0 | | | |\n|  |  |  |  |  |\n|  |  |  |  |  |\n\n\n| DGX Station A100 Delivers Over 4X Faster The Inference Performance |  |\n| --- | --- |\n| | 4.3 5X 1X\u003Cbr>\u003Cbr>0 1 2 3 4 5\u003Cbr>\u003Cbr>Inference |\n|  |  |\n\n\n| DGX Station A100 Delivers Linear Scalability |  |\n| --- | --- |\n| | 7,666 \u003Cbr>2,066 3,975\u003Cbr>\u003Cbr>\u003Cbr>0 2 ,000 4 ,000 6,000 8 ,000\u003Cbr>Images Per Second |\n\n~~ ~~ | DATA SHEET | NOV20  \nusers and jobs so that activity is contained and doesn’t impact performance across the system . DGX Station A100 features the same fully optimized NVIDIA DGX™ software stack as all DGX systems , delivering maximum performance and complete interoperability with DGX-based infrastructure , from individual systems to NVIDIA DGX POD™ and NVIDIA DGX SuperPOD™ , making DGX Station A100 an ideal platform for teams from all organizations , large and small.  \nData Center Performance Without the Data Center  \nNVIDIA DGX Station A100 provides a data center-class AI server in a workstation form factor, suitable for use in a standard office environment without specialized power and cooling. Its design includes four ultra-powerful NVIDIA A100 Tensor Core GPUs , a top-of-the-line , server-grade CPU, super-fast NVMe storage , and leading-edge PCIe Gen4 buses. DGX Station A100 also includes the same Baseboard Management Controller (BMC) as NVIDIA DGX A100 , allowing system administrators to perform any required tasks over a remote connection. DGX Station A100 is the most powerful AI system for an office environment, providing data center technology without the data center.  \nAn AI Appliance You Can Place Anywhere  \nNVIDIA DGX Station A100 is designed for today 's agile data science teams working in corporate offices , labs , research facilities , or even from home. Whereas installing large-scale AI infrastructure requires significant IT investment and large","cbCailNLgCaPEmPe","https://ap.wps.com/l/cbCailNLgCaPEmPe","pdf",1302734,3,"English","en",105,"# NVIDIA DGX Station A100 at a Glance\n## AI Supercomputing for Data Science Teams\n## Data Center Performance Without the Data Center\n## An AI Appliance You Can Place Anywhere\n## Bigger Models, Faster Answers\n## Integrated Access to Unmatched AI Expertise\n## System Specifications","[{\"question\":\"What is NVIDIA DGX Station A100 and who is it designed for?\",\"answer\":\"It is an AI workgroup appliance for data science teams that need a centralized, high-performance AI resource for training, inference, and analytics. It is built to serve multiple simultaneous users in office, lab, or home environments.\"},{\"question\":\"How does MIG help DGX Station A100 support multiple users and workloads?\",\"answer\":\"DGX Station A100 uses four fully interconnected, MIG-capable NVIDIA A100 GPUs. With MIG, it can provide up to 28 separate GPU devices so parallel jobs can run without impacting overall system performance.\"},{\"question\":\"What setup and infrastructure requirements does DGX Station A100 have?\",\"answer\":\"The server is designed for a workstation form factor that plugs into a standard wall outlet. Its refrigeration-based design stays cool to the touch and a simple one-person setup can get the team running in minutes with minimal cabling.\"}]","NVIDIA DGX Station A100 - Data Sheet - NOV20 | PDF",1793607184,{"code":4,"msg":81,"data":82},"ok",{"site_id":75,"language":74,"slug":83,"title":65,"keywords":84,"description":66,"schema_data":85,"social_meta":138,"head_meta":140,"extra_data":142,"updated_unix":79},"nvidia-dgx-station-a100-data-sheet-nov20","",{"@graph":86,"@context":137},[87,100,120],{"@type":88,"itemListElement":89},"BreadcrumbList",[90,94,96,98],{"item":91,"name":92,"@type":93,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":95,"name":9,"@type":93,"position":14},"https://docshare.wps.com/document/",{"item":97,"name":30,"@type":93,"position":72},"https://docshare.wps.com/document/technology/",{"item":99,"name":65,"@type":93,"position":19},"https://docshare.wps.com/document/nvidia-dgx-station-a100-data-sheet-nov20/672779/",{"url":99,"name":65,"@type":101,"image":102,"author":107,"headline":65,"publisher":109,"fileFormat":112,"inLanguage":74,"description":66,"dateModified":113,"datePublished":114,"encodingFormat":112,"isAccessibleForFree":115,"interactionStatistic":116},"DigitalDocument",{"url":103,"@type":104,"width":105,"height":106},"https://docshare.wps.com/thumbnails/nvidia-dgx-station-a100-data-sheet-nov20/672779.png","ImageObject",300,407,{"name":63,"@type":108},"Person",{"url":91,"name":110,"@type":111},"DocShare","Organization","application/pdf","2026-11-03","2026-11-02",true,{"@type":117,"interactionType":118,"userInteractionCount":72},"InteractionCounter",{"@type":119},"ViewAction",{"@type":121,"mainEntity":122},"FAQPage",[123,129,133],{"name":124,"@type":125,"acceptedAnswer":126},"What is NVIDIA DGX Station A100 and who is it designed for?","Question",{"text":127,"@type":128},"It is an AI workgroup appliance for data science teams that need a centralized, high-performance AI resource for training, inference, and analytics. It is built to serve multiple simultaneous users in office, lab, or home environments.","Answer",{"name":130,"@type":125,"acceptedAnswer":131},"How does MIG help DGX Station A100 support multiple users and workloads?",{"text":132,"@type":128},"DGX Station A100 uses four fully interconnected, MIG-capable NVIDIA A100 GPUs. With MIG, it can provide up to 28 separate GPU devices so parallel jobs can run without impacting overall system performance.",{"name":134,"@type":125,"acceptedAnswer":135},"What setup and infrastructure requirements does DGX Station A100 have?",{"text":136,"@type":128},"The server is designed for a workstation form factor that plugs into a standard wall outlet. Its refrigeration-based design stays cool to the touch and a simple one-person setup can get the team running in minutes with minimal cabling.","https://schema.org",{"og:url":99,"og:type":139,"og:title":65,"og:site_name":110,"og:description":66},"article",{"robots":141,"canonical":99},"index,follow",{"doc_id":61,"site_id":75}]