{"id":67018,"date":"2026-08-12T23:22:00","date_gmt":"2026-08-12T16:22:00","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=67018"},"modified":"2026-08-12T23:22:00","modified_gmt":"2026-08-12T16:22:00","slug":"zettabyte-launches-model-as-a-service-on-zcloud","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=67018","title":{"rendered":"Zettabyte Launches Model-as-a-Service on zCLOUD"},"content":{"rendered":"<table border=\"0\" cellspacing=\"10\" cellpadding=\"5\" align=\"right\">\n<tbody>\n<tr>\n<td><img decoding=\"async\" src=\"https:\/\/mmx.prnasia.com\/media\/MS1872144\/ZETTABYTE-Logo-Horizontal-WhiteBG-Logo.jpg?id=OA2865046&amp;p=medium600\" border=\"0\" alt=\"\" title=\"logo\" hspace=\"0\" vspace=\"0\" width=\"118\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><i>zCLOUD delivers Model-as-a-Service (MaaS), hosting open-weight and open-source models such as Kimi, GLM, Llama, GPT-OSS, Gemma, and Qwen on Zettabyte&#8217;s GPUs and making them available through a single API.<\/i><\/p>\n<ul type=\"disc\">\n<li>Offers open-weight and open-source models through an API, running on Zettabyte&#8217;s GPUs;<\/li>\n<li>Provides access to NVIDIA H100, H200, B200 and B300 GPUs;<\/li>\n<li>Offers three fully managed ways to access capacity, backed by a 99.5 percent uptime SLA target;<\/li>\n<\/ul>\n<p><span class=\"legendSpanClass\">TAIPEI CITY, Taiwan<\/span>, <span class=\"legendSpanClass\">Aug. 13, 2026<\/span> \/PRNewswire\/ &#8212; Zettabyte, a global AI computing company, today announced the general availability of Model-as-a-Service on zCLOUD, its GPU cloud. Teams can efficiently call open-source models through API on Zettabyte&#8217;s NVIDIA H100, H200, B200 and B300 GPUs.<\/p>\n<p><b>Model-as-a-Service<br \/><\/b>With Model-as-a-Service, zCLOUD hosts popular open weight and open-source models, ready to call through an API and run on Zettabyte&#8217;s GPUs. Teams can build on them directly, without sourcing, installing, and tuning a model themselves. Teams that want raw capacity can still rent GPUs on zCLOUD and run their own models.<\/p>\n<p><b>GPU Availability<br \/><\/b>NVIDIA H100 is available today, with pricing from US$1.99 per GPU-hour depending on needs and scale. zCLOUD is backed by a 99.5 percent uptime SLA target, and reserved clusters are built to deploy in under six hours from confirmed requirements.<\/p>\n<p><b>Ways to Access GPU Capacity<br \/><\/b>Zettabyte offers three ways to access capacity:<\/p>\n<ul type=\"disc\">\n<li><b>Short-Term Capacity<\/b>\u00a0&#8211; GPU instances that scale to hundreds of GPUs, with no long-term commitment.<\/li>\n<li><b>Reserved Clusters<\/b>\u00a0&#8211; Predictable, fully managed capacity for sustained training and inference under a term commitment.<\/li>\n<li><b>Private Cloud<\/b>\u00a0&#8211; Custom deployments for teams with procurement, security, or region requirements.<\/li>\n<\/ul>\n<p>&#8220;AI computing will be everywhere, from hyperscale data centers to the edge. The supporting AI infrastructure and software must be compatible, resilient, and agile. zCLOUD was built to deliver Model-as-a-Service, bringing more than 40 hardware providers together and managing the underlying AI infrastructure through our zSUITE full stack,&#8221; said Dr. David Ku, Technology Leader at Zettabyte, former Corporate Vice President and CTO of AI at Microsoft.<\/p>\n<p>Model-as-a-Service on zCLOUD is generally available today at <a href=\"https:\/\/edge.prnewswire.com\/c\/link\/?t=0&amp;l=en&amp;o=4751133-1&amp;h=1762725254&amp;u=https%3A%2F%2Fwww.zettabytecloud.com%2F&amp;a=www.zettabytecloud.com\" target=\"_blank\" rel=\"nofollow\">www.zettabytecloud.com<\/a>.<\/p>\n<p><b>About Zettabyte<br \/><\/b>Zettabyte is a global AI computing company focused on delivering and measuring high-quality compute. Through its zSUITE platform, the company enables organizations to improve reliability, readiness, observability, cost transparency, and energy efficiency across AI infrastructure environments. Learn more at <a href=\"https:\/\/edge.prnewswire.com\/c\/link\/?t=0&amp;l=en&amp;o=4751133-1&amp;h=3385331479&amp;u=https%3A%2F%2Fwww.zettabyte.space%2F&amp;a=www.zettabyte.space\" target=\"_blank\" rel=\"nofollow\">www.zettabyte.space<\/a>.<\/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:\/\/mmx.prnasia.com\/media\/MS1872144\/ZETTABYTE-Logo-Horizontal-WhiteBG-Logo.jpg?id=OA2865046&amp;p=medium600\" border=\"0\" alt=\"\" title=\"logo\" hspace=\"0\" vspace=\"0\" width=\"118\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><i>zCLOUD delivers Model-as-a-Service (MaaS), hosting open-weight and open-source models such as Kimi, GLM, Llama, GPT-OSS, Gemma, and Qwen on Zettabyte&#8217;s GPUs and making them available through a single API.<\/i><\/p>\n<ul type=\"disc\">\n<li>Offers open-weight and open-source models through an API, running on Zettabyte&#8217;s GPUs;<\/li>\n<li>Provides access to NVIDIA H100, H200, B200 and B300 GPUs;<\/li>\n<li>Offers three fully managed ways to access capacity, backed by a 99.5 percent uptime SLA target;<\/li>\n<\/ul>\n<p><span class=\"legendSpanClass\">TAIPEI CITY, Taiwan<\/span>, <span class=\"legendSpanClass\">Aug. 13, 2026<\/span> \/PRNewswire\/ &#8212; Zettabyte, a global AI computing company, today announced the general availability of Model-as-a-Service on zCLOUD, its GPU cloud. Teams can efficiently call open-source models through API on Zettabyte&#8217;s NVIDIA H100, H200, B200 and B300 GPUs.<\/p>\n<p><b>Model-as-a-Service<br \/><\/b>With Model-as-a-Service, zCLOUD hosts popular open weight and open-source models, ready to call through an API and run on Zettabyte&#8217;s GPUs. Teams can build on them directly, without sourcing, installing, and tuning a model themselves. Teams that want raw capacity can still rent GPUs on zCLOUD and run their own models.<\/p>\n<p><b>GPU Availability<br \/><\/b>NVIDIA H100 is available today, with pricing from US$1.99 per GPU-hour depending on needs and scale. zCLOUD is backed by a 99.5 percent uptime SLA target, and reserved clusters are built to deploy in under six hours from confirmed requirements.<\/p>\n<p><b>Ways to Access GPU Capacity<br \/><\/b>Zettabyte offers three ways to access capacity:<\/p>\n<ul type=\"disc\">\n<li><b>Short-Term Capacity<\/b>\u00a0&#8211; GPU instances that scale to hundreds of GPUs, with no long-term commitment.<\/li>\n<li><b>Reserved Clusters<\/b>\u00a0&#8211; Predictable, fully managed capacity for sustained training and inference under a term commitment.<\/li>\n<li><b>Private Cloud<\/b>\u00a0&#8211; Custom deployments for teams with procurement, security, or region requirements.<\/li>\n<\/ul>\n<p>&#8220;AI computing will be everywhere, from hyperscale data centers to the edge. The supporting AI infrastructure and software must be compatible, resilient, and agile. zCLOUD was built to deliver Model-as-a-Service, bringing more than 40 hardware providers together and managing the underlying AI infrastructure through our zSUITE full stack,&#8221; said Dr. David Ku, Technology Leader at Zettabyte, former Corporate Vice President and CTO of AI at Microsoft.<\/p>\n<p>Model-as-a-Service on zCLOUD is generally available today at <a href=\"https:\/\/edge.prnewswire.com\/c\/link\/?t=0&amp;l=en&amp;o=4751133-1&amp;h=1762725254&amp;u=https%3A%2F%2Fwww.zettabytecloud.com%2F&amp;a=www.zettabytecloud.com\" target=\"_blank\" rel=\"nofollow\">www.zettabytecloud.com<\/a>.<\/p>\n<p><b>About Zettabyte<br \/><\/b>Zettabyte is a global AI computing company focused on delivering and measuring high-quality compute. Through its zSUITE platform, the company enables organizations to improve reliability, readiness, observability, cost transparency, and energy efficiency across AI infrastructure environments. Learn more at <a href=\"https:\/\/edge.prnewswire.com\/c\/link\/?t=0&amp;l=en&amp;o=4751133-1&amp;h=3385331479&amp;u=https%3A%2F%2Fwww.zettabyte.space%2F&amp;a=www.zettabyte.space\" target=\"_blank\" rel=\"nofollow\">www.zettabyte.space<\/a>.<\/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-67018","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\/67018","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=67018"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/67018\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=67018"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=67018"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=67018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}