{"id":86753,"date":"2025-07-29T18:00:40","date_gmt":"2025-07-30T01:00:40","guid":{"rendered":"https:\/\/phisonblog.com\/?p=86753"},"modified":"2025-07-30T21:04:56","modified_gmt":"2025-07-31T04:04:56","slug":"phison-cost-efficient-on-premises-ai-processing-with-phison-aidaptiv-no-image","status":"publish","type":"post","link":"https:\/\/phisonblog.com\/ko\/phison-cost-efficient-on-premises-ai-processing-with-phison-aidaptiv-no-image\/","title":{"rendered":"PHISON \u2013 Phison aiDAPTIV+\ub97c \ud1b5\ud55c \ube44\uc6a9 \ud6a8\uc728\uc801\uc778 \uc628\ud504\ub808\ubbf8\uc2a4 AI \ucc98\ub9ac"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;]&#8221;The emergence of generative AI presents significant opportunities for innovation across organizations of all sizes and industries. However, the technical infrastructure required for both model fine-tuning and inference often poses a major challenge due to the reliance on expensive, high-performance GPUs. This paper examines the cost and data privacy limitations associated with traditional cloud and on-premises approaches and explores how Phison aiDAPTIV+ can help organizations overcome these barriers. Through hands-on testing, Signal65 validated the solution\u2019s capabilities and assessed its impact on easing AI infrastructure challenges.&#8221;- signal65.com<\/p>\n<div class=\"elementor-element elementor-element-666e327a elementor-widget elementor-widget-text-editor\" data-id=\"666e327a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n<div class=\"elementor-widget-container\">\n<p>Source: <a href=\"https:\/\/signal65.com\/research\/ai\/cost-efficient-on-premisesai-processing-with-phison-aidaptiv\/\" target=\"_blank\" rel=\"noopener\">signal65.com<\/a><\/p>\n<\/div>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;The emergence of generative AI presents significant opportunities for innovation across organizations of all sizes and industries. However, the technical infrastructure required for both model fine-tuning and inference often poses a major challenge due to the reliance on expensive, high-performance GPUs. This paper examines the cost and data privacy limitations associated with traditional cloud and [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":86906,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"<p>\"The emergence of generative AI presents significant opportunities for innovation across organizations of all sizes and industries. However, the technical infrastructure required for both model fine-tuning and inference often poses a major challenge due to the reliance on expensive, high-performance GPUs. This paper examines the cost and data privacy limitations associated with traditional cloud and on-premises approaches and explores how Phison aiDAPTIV+ can help organizations overcome these barriers. Through hands-on testing, Signal65 validated the solution\u2019s capabilities and assessed its impact on easing AI infrastructure challenges.\"- signal65.com<\/p><div class=\"elementor-element elementor-element-666e327a elementor-widget elementor-widget-text-editor\" data-id=\"666e327a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\"><div class=\"elementor-widget-container\"><p>Source: <a href=\"https:\/\/signal65.com\/research\/ai\/cost-efficient-on-premisesai-processing-with-phison-aidaptiv\/\">signal65.com<\/a><\/p><\/div><\/div>","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[114],"tags":[22],"class_list":["post-86753","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-phison-in-the-news","tag-long-content"],"acf":[],"_links":{"self":[{"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/posts\/86753","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/comments?post=86753"}],"version-history":[{"count":7,"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/posts\/86753\/revisions"}],"predecessor-version":[{"id":86909,"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/posts\/86753\/revisions\/86909"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/media\/86906"}],"wp:attachment":[{"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/media?parent=86753"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/categories?post=86753"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/phisonblog.com\/ko\/wp-json\/wp\/v2\/tags?post=86753"}],"curies":[{"name":"\uc6cc\ub4dc\ud504\ub808\uc2a4","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}