{"id":4305,"date":"2025-07-12T13:13:06","date_gmt":"2025-07-12T13:13:06","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/4305\/"},"modified":"2025-07-12T13:13:06","modified_gmt":"2025-07-12T13:13:06","slug":"aitras-orchestrator%ef%bc%9aoptimizing-ai-and-ran-resources-about-us","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/4305\/","title":{"rendered":"AITRAS Orchestrator\uff1aOptimizing AI and RAN Resources | About Us"},"content":{"rendered":"<p>         3. Joint Development with Red Hat: Power Optimization Using Kepler<\/p>\n<p class=\"text\">\n        SoftBank envisions deploying AITRAS-based GPU data centers across Japan. However, maintaining stable operations at scale requires significant power consumption. To address this, SoftBank and Red Hat jointly developed a power optimization solution within AITRAS.\n         <\/p>\n<p>         3.1 AI and RAN on a Common Computing Platform with Red Hat<\/p>\n<p class=\"text\">\n         Figure 2 illustrates the system architecture. AI and RAN applications operate as containers on Red Hat OpenShift, while Red Hat Advanced Cluster Management for Kubernetes enables unified control across multiple regional data centers.\n         <\/p>\n<p>            <img decoding=\"async\" src=\"https:\/\/www.newsbeep.com\/us\/wp-content\/uploads\/2025\/07\/img-article-2.webp.webp\" class=\"image-item\" alt=\"Figure 2. Red Hat System Architecture in AITRAS\"\/><\/p>\n<p class=\"image-box-caption\">Figure 2. Red Hat System Architecture in AITRAS<\/p>\n<p>         3.2 Introducing the Power Monitoring Tool \u201cKepler\u201d<\/p>\n<p class=\"text\">\n        Kepler, or Kubernetes-based Efficient Power Level Exporter, is a project founded by Red Hat\u2019s emerging technologies group with early contributions from IBM Research and Intel. It is a community-driven, open source project that captures power-use metrics across a wide range of platforms, focusing on reporting, reduction and regression so enterprises can better understand energy consumption. By leveraging Kepler with AITRAS and Red Hat OpenShift, it becomes possible to visualize the power usage of applications running on AITRAS at the Pod level. Figure 3 illustrates how Kepler monitors and tracks power consumption for each Pod.\n         <\/p>\n<p>            <img decoding=\"async\" src=\"https:\/\/www.newsbeep.com\/us\/wp-content\/uploads\/2025\/07\/img-article-3.webp.webp\" class=\"image-item\" alt=\"Figure 3: Visualizing Power Consumption with Kepler\"\/><\/p>\n<p class=\"image-box-caption\">Figure 3: Visualizing Power Consumption with Kepler<\/p>\n<p class=\"text\">\n          Leveraging Kepler\u2019s capabilities, we designed a demonstration scenario to visualize and manage power consumption across different server clusters within a data center. The setup was as follows:\n         <\/p>\n<p class=\"text\">\n        \u30fbCluster 1: Powered exclusively by fossil fuel-based energy <br \/>\u30fbClusters 2 and 3: Powered by renewable energy sources\n         <\/p>\n<p class=\"text\">\n          In this context, where environmentally sustainable operations are prioritized, there is a clear need to favor Clusters 2 and 3 when deploying applications. Based on this need, the AITRAS Orchestrator was configured to allocate workloads to the most suitable clusters.\n         <\/p>\n<p class=\"text\">\n          Figure 4 compares the results of application deployment with and without Kepler-based power-awareness. In the left diagram, where Kepler is not used, Cluster 1 (fossil fuel-powered) is heavily utilized. In contrast, the right diagram\u2014where Kepler is introduced\u2014shows that Clusters 2 and 3 are preferred, allowing for maximum utilization of renewable energy.\n         <\/p>\n<p class=\"text\">\n         This demonstration confirms that by incorporating Kepler into the orchestrator, AITRAS can achieve not only optimized workload management but also more eco-friendly and energy-efficient data center operations.\n         <\/p>\n<p>            <img decoding=\"async\" src=\"https:\/\/www.newsbeep.com\/us\/wp-content\/uploads\/2025\/07\/img-article-4.webp.webp\" class=\"image-item\" alt=\"Figure 4. Cluster Energy Usage Comparison With and Without Kepler Integration\"\/><\/p>\n<p class=\"image-box-caption\">Figure 4. Cluster Energy Usage Comparison With and Without Kepler Integration<\/p>\n","protected":false},"excerpt":{"rendered":"3. Joint Development with Red Hat: Power Optimization Using Kepler SoftBank envisions deploying AITRAS-based GPU data centers across&hellip;\n","protected":false},"author":2,"featured_media":4306,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[4959,191,4961,74,4960],"class_list":{"0":"post-4305","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-company-profile","9":"tag-computing","10":"tag-softbank","11":"tag-technology","12":"tag-video-distribution"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/4305","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=4305"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/4305\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/4306"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=4305"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=4305"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=4305"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}