{"id":2625,"date":"2024-07-21T17:59:26","date_gmt":"2024-07-21T09:59:26","guid":{"rendered":"https:\/\/ai-stack.ai\/infrastructure"},"modified":"2026-03-10T00:52:42","modified_gmt":"2026-03-09T16:52:42","slug":"infrastructure","status":"publish","type":"page","link":"https:\/\/ai-stack.ai\/en\/infrastructure","title":{"rendered":"Physical Cluster Plane"},"content":{"rendered":"\t\t
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Infrastructure Cluster <\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Exclusive Chip and Storage Management Technology <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Designed for efficiently running AI workloads of all sizes, this layer offers exclusive hardware control technology for precise management of chips and storage devices. Whether it's a single GPU server or multiple machines, it ensures optimal resource utilization and efficient workload execution. <\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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NVIDIA Certified Solution Advisor <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Partnering with NVIDIA to Provide Premium Services <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Support for NVIDIA Products<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Supporting the full NVIDIA GPU product line\u2014from professional data center compute cards to consumer gaming graphics cards\u2014AI-Stack offers extreme compatibility. This allows enterprises to flexibly integrate all existing and future-purchased GPU resources, maximizing the return on every hardware investment.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Comprehensive Hardware Resource Optimization <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Cutting-Edge Technology to Maximize Your Hardware Investment <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n Unique GPU Partitioning Technology
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\n Allocate appropriate GPU resources based on different workloads, where partitioned GPUs operate independently without mutual interference, achieving higher resource utilization and lower operating costs. <\/div>\n \n <\/div>\n <\/div>\n \n
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\n Scalable Expansion
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\n Users can expand computing resources and data storage space at any time, meeting the demands of varying or peak computational data volumes. <\/div>\n <\/div>\n <\/div>\n \n
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\n Container Orchestration
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\n Creates required containers based on actual workload demands and resource usage, allocating computing and storage resources to quickly establish a development environment. <\/div>\n <\/div>\n <\/div>\n \n
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\n Stability and Reliability
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Learn how to use AI-Stack<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Development and Ecosystem Layers<\/span><\/div>\n \n
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Development and Ecosystem Layers<\/div>\n
Master the Thriving Future of AI with AI-Stack<\/div>\n
Based on Kubernetes and Docker, AI-Stack provides an efficient and intuitive work environment, allowing developers to focus on the design, training, experimentation, and deployment of models. AI-Stack integrates various industry-standard artificial neural networks (ANN) and\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n
Control Plane<\/span><\/div>\n \n
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Control Plane<\/div>\n
Want to Easily and Accurately Manage AI Computation and Operations?<\/div>\n
The Control plane of the AI-Stack platform provides a unified management and monitoring interface, featuring a intuitive interface design. This helps you centrally manage computing resources, schedule tasks, and monitor model performance. Through a role-based access control\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n
Infrastructure Cluster<\/span><\/div>\n \n
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Infrastructure Cluster<\/div>\n
Exclusive Chip and Storage Management Technology<\/div>\n
Designed for efficiently running AI workloads of various scales, offering exclusive hardware control technology for precise management of chips and storage devices. Whether it\u2019s a single GPU server or multiple machines, resource allocation is ensured\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n <\/div>\n \n
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Development and Ecosystem Layers<\/div>\n
Master the Thriving Future of AI with AI-Stack<\/div>\n
Based on Kubernetes and Docker, AI-Stack provides an efficient and intuitive work environment, allowing developers to focus on the design, training, experimentation, and deployment of models. AI-Stack integrates various industry-standard artificial neural networks (ANN) and\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n \n
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Control Plane<\/div>\n
Want to Easily and Accurately Manage AI Computation and Operations?<\/div>\n
The Control plane of the AI-Stack platform provides a unified management and monitoring interface, featuring a intuitive interface design. This helps you centrally manage computing resources, schedule tasks, and monitor model performance. Through a role-based access control\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n \n
\n
Infrastructure Cluster<\/div>\n
Exclusive Chip and Storage Management Technology<\/div>\n
Designed for efficiently running AI workloads of various scales, offering exclusive hardware control technology for precise management of chips and storage devices. Whether it\u2019s a single GPU server or multiple machines, resource allocation is ensured\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Development and Ecosystem Layers<\/div>\n
Master the Thriving Future of AI with AI-Stack<\/div>\n
Based on Kubernetes and Docker, AI-Stack provides an efficient and intuitive work environment, allowing developers to focus on the design, training, experimentation, and deployment of models. AI-Stack integrates various industry-standard artificial neural networks (ANN) and\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n <\/div>\n
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Control Plane<\/div>\n
Want to Easily and Accurately Manage AI Computation and Operations?<\/div>\n
The Control plane of the AI-Stack platform provides a unified management and monitoring interface, featuring a intuitive interface design. This helps you centrally manage computing resources, schedule tasks, and monitor model performance. Through a role-based access control\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n <\/div>\n
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Infrastructure Cluster<\/div>\n
Exclusive Chip and Storage Management Technology<\/div>\n
Designed for efficiently running AI workloads of various scales, offering exclusive hardware control technology for precise management of chips and storage devices. Whether it\u2019s a single GPU server or multiple machines, resource allocation is ensured\u2026<\/div>\n Learn More<\/i><\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Product \/ Infrastructure Cluster Infrastructure Cluster Exclusive Chip and Storage Management Technology Designed for efficiently running AI workloads of all sizes, this layer offers exclusive hardware control technology for precise management of chips and storage devices. Whether it’s a single GPU server or multiple machines, it ensures optimal resource utilization and efficient workload execution. NVIDIA Certified Solution Advisor Partnering with NVIDIA to Provide Premium Services Support for NVIDIA Products Supporting the full NVIDIA GPU product line\u2014from professional data center compute cards to consumer gaming graphics cards\u2014AI-Stack offers extreme compatibility. This allows enterprises to flexibly integrate all existing and future-purchased GPU resources,…<\/p>\n","protected":false},"author":253372372,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"_crdt_document":"","jetpack_post_was_ever_published":false,"footnotes":""},"tags":[],"class_list":["post-2625","page","type-page","status-publish","hentry"],"blocksy_meta":[],"acf":[],"jetpack_shortlink":"https:\/\/wp.me\/Ph344V-Gl","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/pages\/2625","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/users\/253372372"}],"replies":[{"embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/comments?post=2625"}],"version-history":[{"count":9,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/pages\/2625\/revisions"}],"predecessor-version":[{"id":12322,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/pages\/2625\/revisions\/12322"}],"wp:attachment":[{"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/media?parent=2625"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ai-stack.ai\/en\/wp-json\/wp\/v2\/tags?post=2625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}