{"id":38972,"date":"2025-11-19T14:03:55","date_gmt":"2025-11-19T07:03:55","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=38972"},"modified":"2025-11-19T14:03:55","modified_gmt":"2025-11-19T07:03:55","slug":"zilliz-collaborates-with-pliops-to-enable-billion-scale-vector-search-at-storage-level-costs","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=38972","title":{"rendered":"Zilliz Collaborates with Pliops to Enable Billion-Scale Vector Search at Storage-Level Costs"},"content":{"rendered":"<table border=\"0\" cellspacing=\"10\" cellpadding=\"5\" align=\"right\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mma.prnasia.com\/media2\/2713871\/zilliz_milvus_Logo.jpg?p=medium600\" border=\"0\" alt=\"\" title=\"logo\" hspace=\"0\" vspace=\"0\" width=\"118\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><i>Hardware-Accelerated Architecture Brings Enterprise RAG to New Scale and Efficiency<\/i><\/p>\n<p><span class=\"legendSpanClass\"><span class=\"xn-location\">REDWOOD CITY, Calif.<\/span>, Nov. 19, 2025 \/PRNewswire\/ &#8212;\u00a0<u><a href=\"https:\/\/zilliz.com\/\" target=\"_blank\" rel=\"nofollow\">Zilliz<\/a><\/u>, the company behind <u><a href=\"https:\/\/milvus.io\/\" target=\"_blank\" rel=\"nofollow\">Milvus<\/a><\/u>, the world&#8217;s most advanced open-source vector database, today announced a strategic collaboration with <u><a href=\"https:\/\/pliops.com\/\" target=\"_blank\" rel=\"nofollow\">Pliops<\/a><\/u> to revolutionize large-scale Retrieval-Augmented Generation (RAG) deployments. By integrating Pliops&#8217; LightningAI architecture with Milvus, enterprises can now achieve multi-billion-scale vector search at storage-level costs, breaking through traditional memory constraints that have limited GenAI applications.<\/span><\/p>\n<div class=\"PRN_ImbeddedAssetReference\">\n<\/div>\n<p>As enterprises scale their AI initiatives, vector databases must handle billions of embeddings while maintaining performance and managing costs. This collaboration addresses these challenges head-on by combining Milvus&#8217;s industry-leading vector search capabilities with Pliops&#8217; hardware-accelerated storage technology, enabling efficient large-scale context retrieval and inference for enterprise AI workloads.<\/p>\n<p><b>Advancing Milvus for Next-Generation AI Infrastructure<\/b><\/p>\n<p>Milvus powers mission-critical AI applications across various industries, including semantic search and recommendation systems, as well as agentic AI and RAG. Its distributed, cloud-native architecture is designed for massive scale, and this collaboration takes that capability even further.<\/p>\n<p>Through this partnership, Zilliz will introduce several key enhancements to Milvus in collaboration with Pliops:<\/p>\n<ul type=\"disc\">\n<li><b>Storage APIs and Tiering<\/b>: Support for multi-tier storage to optimize cost and performance.<\/li>\n<li><b>KV Mapping: <\/b>Adding a key-value abstraction layer on top of file offsets for efficient caching and retrieval.<\/li>\n<li><b>Dual-Tier Architecture:<\/b>\n<ul type=\"disc\">\n<li><b>Flash Tier (Hot):<\/b> Ultra-low latency and high-density access.<\/li>\n<li><b>S3 Tier (Cold):<\/b> Reliable, globally distributed backup for cost efficiency.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>These enhancements allow enterprises to significantly expand context windows, improve inference efficiency, and reduce infrastructure overhead\u2014while maintaining the performance and reliability that Milvus users expect in production environments.<\/p>\n<p>&#8220;This collaboration represents a significant leap forward in making enterprise-scale vector search economically viable,&#8221; said <span class=\"xn-person\">Charles Xie<\/span>, Founder and CEO of Zilliz. &#8220;Pliops&#8217; LightningAI introduces a breakthrough approach to scaling GenAI inference, and integrating it with Milvus unlocks truly massive context retrieval at a fraction of the traditional cost. As the creators of Milvus, we&#8217;re committed to advancing what&#8217;s possible in vector search. This collaboration gives enterprises a clear path to run larger models, access more knowledge, and deliver faster AI experiences\u2014all without the memory limitations that have constrained GenAI until now.&#8221;<\/p>\n<p>Ido Bukspan, CEO of Pliops, added, &#8220;LightningAI is designed to make AI inference scalable and affordable. Partnering with Zilliz brings the best of storage and retrieval intelligence together.&#8221;<\/p>\n<p><b>Availability and Resources<\/b><\/p>\n<p>The technical architecture and implementation details, including the Milvus RFC for Near Compute Storage, are available to the open-source community on GitHub. Organizations interested in deploying billion-scale vector search can learn more at:<\/p>\n<ul type=\"disc\">\n<li>Zilliz: <u><a href=\"https:\/\/zilliz.com\/\" target=\"_blank\" rel=\"nofollow\">https:\/\/zilliz.com<\/a><\/u><\/li>\n<li>Milvus: <u><a href=\"https:\/\/milvus.io\/\" target=\"_blank\" rel=\"nofollow\">https:\/\/milvus.io<\/a><\/u><\/li>\n<li>Pliops LightningAI: <u><a href=\"https:\/\/pliops.com\/\" target=\"_blank\" rel=\"nofollow\">https:\/\/pliops.com<\/a><\/u><\/li>\n<\/ul>\n<p><b>About Zilliz<\/b><\/p>\n<p>Zilliz develops next-generation vector database technologies that help organizations extract value from unstructured data and accelerate AI application development. The company delivers a fully managed, multi-cloud service, <u><a href=\"https:\/\/zilliz.com\/cloud\" target=\"_blank\" rel=\"nofollow\">Zilliz Cloud<\/a><\/u>, powered by the open-source Milvus project, with deployments across major cloud platforms in more than 20 countries. Headquartered in Redwood Shores, <span class=\"xn-location\">California<\/span>, Zilliz is backed by leading investors, including Aramco&#8217;s Prosperity7 Ventures, Temasek&#8217;s Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, and Trustbridge Partners. For more information, visit <u><a href=\"http:\/\/zilliz.com\/\" target=\"_blank\" rel=\"nofollow\">zilliz.com<\/a><\/u>.<\/p>","protected":false},"excerpt":{"rendered":"<p><!-- wp:html --><\/p>\n<table border=\"0\" cellspacing=\"10\" cellpadding=\"5\" align=\"right\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mma.prnasia.com\/media2\/2713871\/zilliz_milvus_Logo.jpg?p=medium600\" border=\"0\" alt=\"\" title=\"logo\" hspace=\"0\" vspace=\"0\" width=\"118\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><i>Hardware-Accelerated Architecture Brings Enterprise RAG to New Scale and Efficiency<\/i><\/p>\n<p><span class=\"legendSpanClass\"><span class=\"xn-location\">REDWOOD CITY, Calif.<\/span>, Nov. 19, 2025 \/PRNewswire\/ &#8212;\u00a0<u><a href=\"https:\/\/zilliz.com\/\" target=\"_blank\" rel=\"nofollow\">Zilliz<\/a><\/u>, the company behind <u><a href=\"https:\/\/milvus.io\/\" target=\"_blank\" rel=\"nofollow\">Milvus<\/a><\/u>, the world&#8217;s most advanced open-source vector database, today announced a strategic collaboration with <u><a href=\"https:\/\/pliops.com\/\" target=\"_blank\" rel=\"nofollow\">Pliops<\/a><\/u> to revolutionize large-scale Retrieval-Augmented Generation (RAG) deployments. By integrating Pliops&#8217; LightningAI architecture with Milvus, enterprises can now achieve multi-billion-scale vector search at storage-level costs, breaking through traditional memory constraints that have limited GenAI applications.<\/span><\/p>\n<div class=\"PRN_ImbeddedAssetReference\">\n<\/div>\n<p>As enterprises scale their AI initiatives, vector databases must handle billions of embeddings while maintaining performance and managing costs. This collaboration addresses these challenges head-on by combining Milvus&#8217;s industry-leading vector search capabilities with Pliops&#8217; hardware-accelerated storage technology, enabling efficient large-scale context retrieval and inference for enterprise AI workloads.<\/p>\n<p><b>Advancing Milvus for Next-Generation AI Infrastructure<\/b><\/p>\n<p>Milvus powers mission-critical AI applications across various industries, including semantic search and recommendation systems, as well as agentic AI and RAG. Its distributed, cloud-native architecture is designed for massive scale, and this collaboration takes that capability even further.<\/p>\n<p>Through this partnership, Zilliz will introduce several key enhancements to Milvus in collaboration with Pliops:<\/p>\n<ul type=\"disc\">\n<li><b>Storage APIs and Tiering<\/b>: Support for multi-tier storage to optimize cost and performance.<\/li>\n<li><b>KV Mapping: <\/b>Adding a key-value abstraction layer on top of file offsets for efficient caching and retrieval.<\/li>\n<li><b>Dual-Tier Architecture:<\/b>\n<ul type=\"disc\">\n<li><b>Flash Tier (Hot):<\/b> Ultra-low latency and high-density access.<\/li>\n<li><b>S3 Tier (Cold):<\/b> Reliable, globally distributed backup for cost efficiency.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>These enhancements allow enterprises to significantly expand context windows, improve inference efficiency, and reduce infrastructure overhead\u2014while maintaining the performance and reliability that Milvus users expect in production environments.<\/p>\n<p>&#8220;This collaboration represents a significant leap forward in making enterprise-scale vector search economically viable,&#8221; said <span class=\"xn-person\">Charles Xie<\/span>, Founder and CEO of Zilliz. &#8220;Pliops&#8217; LightningAI introduces a breakthrough approach to scaling GenAI inference, and integrating it with Milvus unlocks truly massive context retrieval at a fraction of the traditional cost. As the creators of Milvus, we&#8217;re committed to advancing what&#8217;s possible in vector search. This collaboration gives enterprises a clear path to run larger models, access more knowledge, and deliver faster AI experiences\u2014all without the memory limitations that have constrained GenAI until now.&#8221;<\/p>\n<p>Ido Bukspan, CEO of Pliops, added, &#8220;LightningAI is designed to make AI inference scalable and affordable. Partnering with Zilliz brings the best of storage and retrieval intelligence together.&#8221;<\/p>\n<p><b>Availability and Resources<\/b><\/p>\n<p>The technical architecture and implementation details, including the Milvus RFC for Near Compute Storage, are available to the open-source community on GitHub. Organizations interested in deploying billion-scale vector search can learn more at:<\/p>\n<ul type=\"disc\">\n<li>Zilliz: <u><a href=\"https:\/\/zilliz.com\/\" target=\"_blank\" rel=\"nofollow\">https:\/\/zilliz.com<\/a><\/u><\/li>\n<li>Milvus: <u><a href=\"https:\/\/milvus.io\/\" target=\"_blank\" rel=\"nofollow\">https:\/\/milvus.io<\/a><\/u><\/li>\n<li>Pliops LightningAI: <u><a href=\"https:\/\/pliops.com\/\" target=\"_blank\" rel=\"nofollow\">https:\/\/pliops.com<\/a><\/u><\/li>\n<\/ul>\n<p><b>About Zilliz<\/b><\/p>\n<p>Zilliz develops next-generation vector database technologies that help organizations extract value from unstructured data and accelerate AI application development. The company delivers a fully managed, multi-cloud service, <u><a href=\"https:\/\/zilliz.com\/cloud\" target=\"_blank\" rel=\"nofollow\">Zilliz Cloud<\/a><\/u>, powered by the open-source Milvus project, with deployments across major cloud platforms in more than 20 countries. Headquartered in Redwood Shores, <span class=\"xn-location\">California<\/span>, Zilliz is backed by leading investors, including Aramco&#8217;s Prosperity7 Ventures, Temasek&#8217;s Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, and Trustbridge Partners. For more information, visit <u><a href=\"http:\/\/zilliz.com\/\" target=\"_blank\" rel=\"nofollow\">zilliz.com<\/a><\/u>.<\/p>\n<p><!-- \/wp:html --><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-38972","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/38972","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=38972"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/38972\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=38972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=38972"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=38972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}