{"id":86736,"date":"2025-07-29T18:00:11","date_gmt":"2025-07-30T01:00:11","guid":{"rendered":"https:\/\/phisonblog.com\/?p=86736"},"modified":"2025-07-30T21:08:38","modified_gmt":"2025-07-31T04:08:38","slug":"phison-sandisk-deploy-different-tactics-to-smash-gpu-memory-wall","status":"publish","type":"post","link":"https:\/\/phisonblog.com\/zh-tw\/phison-sandisk-deploy-different-tactics-to-smash-gpu-memory-wall\/","title":{"rendered":"PHISON \u548c Sandisk \u63a1\u53d6\u4e0d\u540c\u7b56\u7565\u6253\u7834 GPU \u8a18\u61b6\u9ad4\u58c1\u58d8"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”]”Phison\u2019s\u00a0aiDAPTIV+<\/a>\u00a0software is quicker to implement than Sandisk\u2019s hardware, speeds up AI model training by avoiding external storage token access, and enables smaller GPUs to take on larger jobs. Sandisk\u2019s\u00a0High Bandwidth Flash<\/a>\u00a0(HBF) promises much higher speed, but will require semiconductor-level hardware and firmware developments for each GPU manufacturer.<\/p>\n

. . .<\/p>\n

Think of Phison\u2019s aiDAPTIV concept as enabling smaller GPUs to act like bigger ones with more memory, putting AI training in reach of medium-sized businesses and small-scale edge systems. Sandisk\u2019s HBF enables large GPU servers, hamstrung by memory limitations, to train the largest models by expanding their memory capacity to a high degree.”- blocksandfiles.com<\/p>\n

Source: blocksandfiles.com<\/a>
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“Phison\u2019s\u00a0aiDAPTIV+\u00a0software is quicker to implement than Sandisk\u2019s hardware, speeds up AI model training by avoiding external storage token access, and enables smaller GPUs to take on larger jobs. Sandisk\u2019s\u00a0High Bandwidth Flash\u00a0(HBF) promises much higher speed, but will require semiconductor-level hardware and firmware developments for each GPU manufacturer. . . . Think of Phison\u2019s aiDAPTIV concept […]<\/p>\n","protected":false},"author":10,"featured_media":86737,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"

\"Phison\u2019s\u00a0aiDAPTIV+<\/a>\u00a0software is quicker to implement than Sandisk\u2019s hardware, speeds up AI model training by avoiding external storage token access, and enables smaller GPUs to take on larger jobs. Sandisk\u2019s\u00a0High Bandwidth Flash<\/a>\u00a0(HBF) promises much higher speed, but will require semiconductor-level hardware and firmware developments for each GPU manufacturer.<\/p>

. . .<\/p>

Think of Phison\u2019s aiDAPTIV concept as enabling smaller GPUs to act like bigger ones with more memory, putting AI training in reach of medium-sized businesses and small-scale edge systems. Sandisk\u2019s HBF enables large GPU servers, hamstrung by memory limitations, to train the largest models by expanding their memory capacity to a high degree.\"- blocksandfiles.com<\/p>

Source: blocksandfiles.com<\/a><\/p>","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[114],"tags":[22],"class_list":["post-86736","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\/zh-tw\/wp-json\/wp\/v2\/posts\/86736","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/comments?post=86736"}],"version-history":[{"count":5,"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/posts\/86736\/revisions"}],"predecessor-version":[{"id":86916,"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/posts\/86736\/revisions\/86916"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/media\/86737"}],"wp:attachment":[{"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/media?parent=86736"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/categories?post=86736"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/phisonblog.com\/zh-tw\/wp-json\/wp\/v2\/tags?post=86736"}],"curies":[{"name":"\u53ef\u6fd5\u6027\u7c89\u5291","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}