{"id":65466,"date":"2026-06-25T08:00:00","date_gmt":"2026-06-25T01:00:00","guid":{"rendered":"https:\/\/jaybranding.com\/openai-ra-mat-chip-ai-dau-tien-jalapeno-doi-trong-voi-nvidia-blackwell\/"},"modified":"2026-06-25T08:00:00","modified_gmt":"2026-06-25T01:00:00","slug":"openai-ra-mat-chip-ai-dau-tien-jalapeno-doi-trong-voi-nvidia-blackwell","status":"publish","type":"post","link":"https:\/\/jaybranding.com\/en\/openai-ra-mat-chip-ai-dau-tien-jalapeno-doi-trong-voi-nvidia-blackwell\/","title":{"rendered":"OPENAI RA M\u1eaeT CHIP AI \u0110\u1ea6U TI\u00caN JALAPE\u00d1O \u2014 \u0110\u1ed0I TR\u1eccNG V\u1edaI NVIDIA BLACKWELL"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>OpenAI v\u1eeba ch\u00ednh th\u1ee9c c\u00f4ng b\u1ed1 chip AI \u0111\u1ea7u ti\u00ean c\u1ee7a m\u00ecnh mang t\u00ean Jalape\u00f1o, h\u1ee3p t\u00e1c ph\u00e1t tri\u1ec3n c\u00f9ng Broadcom. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc \u0111i chi\u1ebfn l\u01b0\u1ee3c nh\u1eb1m gi\u1ea3m s\u1ef1 ph\u1ee5 thu\u1ed9c v\u00e0o GPU Nvidia v\u00e0 \u0111\u1ecbnh h\u00ecnh m\u1ed9t n\u1ec1n t\u1ea3ng t\u00ednh to\u00e1n ri\u00eang cho c\u00e1c m\u00f4 h\u00ecnh AI t\u01b0\u01a1ng lai.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0110\u01b0\u1ee3c thi\u1ebft k\u1ebf d\u01b0\u1edbi d\u1ea1ng ASIC (Application-Specific Integrated Circuit \u2014 m\u1ea1ch t\u00edch h\u1ee3p chuy\u00ean d\u1ee5ng), Jalape\u00f1o t\u1eadp trung v\u00e0o t\u00e1c v\u1ee5 <strong>AI inference<\/strong> \u2014 x\u1eed l\u00fd y\u00eau c\u1ea7u t\u1eeb ng\u01b0\u1eddi d\u00f9ng v\u00e0 \u0111\u01b0a ra ph\u1ea3n h\u1ed3i t\u1eeb c\u00e1c \u1ee9ng d\u1ee5ng nh\u01b0 ChatGPT hay Codex. OpenAI \u0111\u1eb7t m\u1ee5c ti\u00eau tri\u1ec3n khai chip n\u00e0y v\u00e0o <strong>cu\u1ed1i n\u0103m 2026<\/strong>, \u0111\u00e1nh d\u1ea5u c\u1ed9t m\u1ed1c ch\u01b0a \u0111\u1ea7y m\u1ed9t n\u0103m sau khi c\u00f4ng ty l\u1ea7n \u0111\u1ea7u h\u00e9 l\u1ed9 k\u1ebf ho\u1ea1ch h\u1ee3p t\u00e1c v\u1edbi Broadcom.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Jalape\u00f1o L\u00e0 G\u00ec? Ki\u1ebfn Tr\u00fac ASIC Cho AI Inference<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Kh\u00f4ng gi\u1ed1ng nh\u01b0 GPU \u0111a n\u0103ng c\u1ee7a Nvidia, ASIC l\u00e0 lo\u1ea1i chip \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho <strong>m\u1ed9t m\u1ee5c \u0111\u00edch duy nh\u1ea5t<\/strong>. V\u1edbi Jalape\u00f1o, m\u1ee5c \u0111\u00edch \u0111\u00f3 l\u00e0 ch\u1ea1y c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) trong m\u00f4i tr\u01b0\u1eddng production \u2014 n\u01a1i h\u00e0ng tri\u1ec7u ng\u01b0\u1eddi d\u00f9ng \u0111\u1ed3ng th\u1eddi g\u1eedi y\u00eau c\u1ea7u \u0111\u1ebfn ChatGPT m\u1ed7i ng\u00e0y. \u0110\u00e2y l\u00e0 b\u00e0i to\u00e1n inference kh\u00e1c bi\u1ec7t ho\u00e0n to\u00e0n so v\u1edbi training \u2014 v\u1ed1n \u0111\u00f2i h\u1ecfi s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n kh\u1ed5ng l\u1ed3 \u0111\u1ec3 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh t\u1eeb d\u1eef li\u1ec7u th\u00f4.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI g\u1ecdi Jalape\u00f1o l\u00e0 <strong>&#8220;b\u01b0\u1edbc \u0111\u1ea7u ti\u00ean trong n\u1ec1n t\u1ea3ng t\u00ednh to\u00e1n \u0111a th\u1ebf h\u1ec7&#8221;<\/strong>, ng\u1ee5 \u00fd r\u1eb1ng \u0111\u00e2y m\u1edbi ch\u1ec9 l\u00e0 kh\u1edfi \u0111\u1ea7u cho m\u1ed9t d\u00f2ng chip s\u1ebd \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n qua nhi\u1ec1u phi\u00ean b\u1ea3n trong t\u01b0\u01a1ng lai. Vi\u1ec7c t\u1ef1 thi\u1ebft k\u1ebf chip inference cho ph\u00e9p OpenAI t\u1ed1i \u01b0u h\u00f3a ph\u1ea7n c\u1ee9ng cho ch\u00ednh c\u00e1c m\u00f4 h\u00ecnh c\u1ee7a m\u00ecnh \u2014 thay v\u00ec ph\u1ea3i th\u00edch nghi v\u1edbi ki\u1ebfn tr\u00fac GPU c\u00f3 s\u1eb5n tr\u00ean th\u1ecb tr\u01b0\u1eddng.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Chip \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t v\u1edbi ti\u1ebfn tr\u00ecnh <strong>3nm<\/strong> c\u1ee7a TSMC, t\u1eadn d\u1ee5ng kinh nghi\u1ec7m s\u1ea3n xu\u1ea5t chip quy m\u00f4 l\u1edbn c\u1ee7a Broadcom \u2014 c\u00f4ng ty \u0111\u00e3 thi\u1ebft k\u1ebf ASIC cho Google TPU t\u1eeb nhi\u1ec1u n\u0103m nay. S\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa thi\u1ebft k\u1ebf AI-native c\u1ee7a OpenAI v\u00e0 n\u0103ng l\u1ef1c s\u1ea3n xu\u1ea5t c\u1ee7a Broadcom t\u1ea1o ra m\u1ed9t \u0111\u1ed1i th\u1ee7 \u0111\u00e1ng g\u1eddm trong cu\u1ed9c \u0111ua chip AI.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Hi\u1ec7u Su\u1ea5t: Ngang NVIDIA Blackwell, V\u01b0\u1ee3t Tr\u1ed9i V\u1ec1 Hi\u1ec7u Qu\u1ea3 N\u0103ng L\u01b0\u1ee3ng<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Theo CEO Broadcom <strong>Hock Tan<\/strong>, Jalape\u00f1o \u0111\u1ea1t hi\u1ec7u su\u1ea5t ngang v\u1edbi chip <strong>Nvidia Blackwell<\/strong> and <strong>Google TPU<\/strong> \u2014 hai d\u00f2ng chip AI m\u1ea1nh nh\u1ea5t hi\u1ec7n nay. \u0110\u00e2y l\u00e0 tuy\u00ean b\u1ed1 \u0111\u1ea7y tham v\u1ecdng, \u0111\u1eb7c bi\u1ec7t khi Blackwell l\u00e0 ki\u1ebfn tr\u00fac GPU m\u1edbi nh\u1ea5t c\u1ee7a Nvidia, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ri\u00eang cho k\u1ef7 nguy\u00ean AI t\u1ea1o sinh v\u1edbi h\u01a1n 200 t\u1ef7 transistor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0110i\u1ec3m nh\u1ea5n th\u1ef1c s\u1ef1 c\u1ee7a Jalape\u00f1o n\u1eb1m \u1edf <strong>hi\u1ec7u su\u1ea5t tr\u00ean m\u1ed7i watt<\/strong>. OpenAI kh\u1eb3ng \u0111\u1ecbnh: &#8220;C\u00e1c th\u1eed nghi\u1ec7m ban \u0111\u1ea7u cho th\u1ea5y Jalape\u00f1o s\u1ebd mang l\u1ea1i hi\u1ec7u su\u1ea5t tr\u00ean m\u1ed7i watt v\u01b0\u1ee3t tr\u1ed9i \u0111\u00e1ng k\u1ec3 so v\u1edbi ti\u00eau chu\u1ea9n hi\u1ec7n t\u1ea1i.&#8221; Trong b\u1ed1i c\u1ea3nh c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u AI ti\u00eau th\u1ee5 \u0111i\u1ec7n n\u0103ng kh\u1ed5ng l\u1ed3 \u2014 c\u00f3 n\u01a1i l\u00ean \u0111\u1ebfn h\u00e0ng gigawatt \u2014 hi\u1ec7u qu\u1ea3 n\u0103ng l\u01b0\u1ee3ng tr\u1edf th\u00e0nh y\u1ebfu t\u1ed1 c\u1ea1nh tranh then ch\u1ed1t, kh\u00f4ng ch\u1ec9 v\u1ec1 chi ph\u00ed m\u00e0 c\u00f2n v\u1ec1 t\u00ednh b\u1ec1n v\u1eefng.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Vi\u1ec7c ASIC \u0111\u00e1nh b\u1ea1i GPU v\u1ec1 hi\u1ec7u qu\u1ea3 n\u0103ng l\u01b0\u1ee3ng kh\u00f4ng ph\u1ea3i l\u00e0 \u0111i\u1ec1u b\u1ea5t ng\u1edd \u2014 \u0111\u00f3 ch\u00ednh l\u00e0 l\u1ee3i th\u1ebf c\u1ed1t l\u00f5i c\u1ee7a ki\u1ebfn tr\u00fac chuy\u00ean d\u1ee5ng. Tuy nhi\u00ean, vi\u1ec7c m\u1ed9t c\u00f4ng ty AI non tr\u1ebb nh\u01b0 OpenAI c\u00f3 th\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t ngang v\u1edbi Blackwell ngay \u1edf th\u1ebf h\u1ec7 chip \u0111\u1ea7u ti\u00ean l\u00e0 m\u1ed9t th\u00e0nh t\u1ef1u k\u1ef9 thu\u1eadt \u0111\u00e1ng ch\u00fa \u00fd.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Tho\u00e1t Kh\u1ecfi &#8220;C\u01a1n Kh\u00e1t GPU&#8221;: Chi\u1ebfn L\u01b0\u1ee3c Chip C\u1ee7a OpenAI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u0110\u1ed9ng l\u1ef1c l\u1edbn nh\u1ea5t \u0111\u1eb1ng sau Jalape\u00f1o l\u00e0 <strong>gi\u1ea3m ph\u1ee5 thu\u1ed9c v\u00e0o Nvidia<\/strong>. Hi\u1ec7n t\u1ea1i, Nvidia ki\u1ec3m so\u00e1t kho\u1ea3ng 80-90% th\u1ecb tr\u01b0\u1eddng GPU AI, v\u00e0 t\u00ecnh tr\u1ea1ng khan hi\u1ebfm chip \u0111\u00e3 tr\u1edf th\u00e0nh n\u00fat th\u1eaft c\u1ed5 chai cho to\u00e0n b\u1ed9 ng\u00e0nh. M\u1ed7i l\u1ea7n OpenAI mu\u1ed1n m\u1edf r\u1ed9ng n\u0103ng l\u1ef1c ph\u1ee5c v\u1ee5 ChatGPT, c\u00f4ng ty ph\u1ea3i c\u1ea1nh tranh quy\u1ebft li\u1ec7t \u0111\u1ec3 gi\u00e0nh \u0111\u01b0\u1ee3c GPU H100 ho\u1eb7c Blackwell t\u1eeb Nvidia \u2014 v\u1edbi th\u1eddi gian ch\u1edd c\u00f3 th\u1ec3 k\u00e9o d\u00e0i h\u00e0ng qu\u00fd.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Jalape\u00f1o cho ph\u00e9p OpenAI <strong>t\u1ef1 ch\u1ee7 v\u1ec1 h\u1ea1 t\u1ea7ng inference<\/strong>. Khi tri\u1ec3n khai v\u00e0o cu\u1ed1i 2026, chip n\u00e0y s\u1ebd x\u1eed l\u00fd ph\u1ea7n l\u1edbn l\u01b0u l\u01b0\u1ee3ng inference cho ChatGPT v\u00e0 c\u00e1c s\u1ea3n ph\u1ea9m API \u2014 gi\u00fap c\u00f4ng ty ti\u1ebft ki\u1ec7m chi ph\u00ed v\u1eadn h\u00e0nh v\u00e0 kh\u00f4ng c\u00f2n ph\u1ee5 thu\u1ed9c v\u00e0o chu k\u1ef3 cung \u1ee9ng GPU. GPU Nvidia v\u1eabn s\u1ebd \u0111\u01b0\u1ee3c d\u00f9ng cho training \u2014 b\u00e0i to\u00e1n \u0111\u00f2i h\u1ecfi t\u00ednh linh ho\u1ea1t cao h\u01a1n m\u00e0 ASIC kh\u00f3 \u0111\u00e1p \u1ee9ng.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0110\u1ed9ng th\u00e1i n\u00e0y c\u0169ng ph\u1ea3n \u00e1nh xu h\u01b0\u1edbng <strong>vertical integration<\/strong> trong ng\u00e0nh AI: c\u00e1c c\u00f4ng ty AI l\u1edbn \u0111ang d\u1ea7n ki\u1ec3m so\u00e1t to\u00e0n b\u1ed9 stack \u2014 t\u1eeb chip, trung t\u00e2m d\u1eef li\u1ec7u, m\u00f4 h\u00ecnh, cho \u0111\u1ebfn \u1ee9ng d\u1ee5ng cu\u1ed1i. OpenAI, v\u1edbi s\u1ef1 h\u1eadu thu\u1eabn c\u1ee7a Microsoft (\u0111\u1ed1i t\u00e1c \u0111\u00e1m m\u00e2y ch\u00ednh), \u0111ang x\u00e2y d\u1ef1ng m\u1ed9t h\u1ec7 sinh th\u00e1i kh\u00e9p k\u00edn t\u01b0\u01a1ng t\u1ef1 nh\u01b0 c\u00e1ch Apple ki\u1ec3m so\u00e1t c\u1ea3 ph\u1ea7n c\u1ee9ng l\u1eabn ph\u1ea7n m\u1ec1m.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Cu\u1ed9c \u0110ua Chip AI: Microsoft, Meta, Amazon \u0110\u1ec1u \u0110\u00e3 &#8220;T\u1ef1 L\u00e0m&#8221;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI kh\u00f4ng \u0111\u01a1n \u0111\u1ed9c trong cu\u1ed9c \u0111ua chip AI. <strong>Microsoft<\/strong> \u0111\u00e3 ra m\u1eaft chip Maia 100 cho inference AI t\u1eeb cu\u1ed1i 2023. <strong>Amazon<\/strong> ph\u00e1t tri\u1ec3n d\u00f2ng chip Trainium v\u00e0 Inferentia cho AWS. <strong>Meta<\/strong> c\u00f4ng b\u1ed1 chip MTIA (Meta Training and Inference Accelerator) th\u1ebf h\u1ec7 m\u1edbi v\u00e0o \u0111\u1ea7u 2026. Th\u1eadm ch\u00ed <strong>Google<\/strong> \u0111\u00e3 c\u00f3 TPU \u2014 chip AI t\u1ef1 thi\u1ebft k\u1ebf \u2014 t\u1eeb n\u0103m 2015, hi\u1ec7n \u0111\u00e3 \u1edf th\u1ebf h\u1ec7 th\u1ee9 6.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tuy nhi\u00ean, OpenAI c\u00f3 m\u1ed9t l\u1ee3i th\u1ebf \u0111\u1ed9c \u0111\u00e1o: h\u1ecd <strong>kh\u00f4ng c\u1ea7n b\u00e1n chip ra b\u00ean ngo\u00e0i<\/strong>. Kh\u00f4ng gi\u1ed1ng nh\u01b0 Nvidia hay Broadcom \u2014 ph\u1ea3i thi\u1ebft k\u1ebf chip \u0111\u1ee7 linh ho\u1ea1t cho nhi\u1ec1u kh\u00e1ch h\u00e0ng kh\u00e1c nhau \u2014 OpenAI c\u00f3 th\u1ec3 t\u1ed1i \u01b0u Jalape\u00f1o cho ch\u00ednh x\u00e1c c\u00e1c m\u00f4 h\u00ecnh GPT c\u1ee7a m\u00ecnh. \u0110i\u1ec1u n\u00e0y m\u1edf ra kh\u1ea3 n\u0103ng <strong>co-design<\/strong> gi\u1eefa model v\u00e0 hardware: thi\u1ebft k\u1ebf ki\u1ebfn tr\u00fac m\u00f4 h\u00ecnh xoay quanh th\u1ebf m\u1ea1nh c\u1ee7a chip, v\u00e0 ng\u01b0\u1ee3c l\u1ea1i.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">D\u00f9 v\u1eady, Nvidia v\u1eabn l\u00e0 &#8220;\u00f4ng vua&#8221; kh\u00f4ng th\u1ec3 tranh c\u00e3i. GPU Blackwell v\u1edbi 208 t\u1ef7 transistor v\u00e0 b\u0103ng th\u00f4ng HBM3e 8TB\/s v\u1eabn l\u00e0 ti\u00eau chu\u1ea9n v\u00e0ng cho training. C\u00e1c chip ASIC nh\u01b0 Jalape\u00f1o hay Trainium ch\u1ee7 y\u1ebfu nh\u1eafm v\u00e0o inference \u2014 n\u01a1i kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c \u1ed5n \u0111\u1ecbnh v\u00e0 c\u00f3 th\u1ec3 d\u1ef1 \u0111o\u00e1n \u0111\u01b0\u1ee3c. Trong t\u01b0\u01a1ng lai g\u1ea7n, h\u1ec7 th\u1ed1ng AI s\u1ebd l\u00e0 s\u1ef1 k\u1ebft h\u1ee3p: GPU cho training, ASIC cho inference quy m\u00f4 l\u1edbn.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Source: <a href=\"https:\/\/www.theverge.com\/ai-artificial-intelligence\/955939\/openai-reveals-its-first-ai-processor-jalapeno\" target=\"_blank\" rel=\"noopener\">The Verge \u2014 OpenAI reveals its first AI processor: Jalape\u00f1o<\/a><\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>OpenAI v\u1eeba ch\u00ednh th\u1ee9c c\u00f4ng b\u1ed1 chip AI \u0111\u1ea7u ti\u00ean c\u1ee7a m\u00ecnh mang t\u00ean Jalape\u00f1o, h\u1ee3p t\u00e1c ph\u00e1t tri\u1ec3n c\u00f9ng Broadcom. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc \u0111i chi\u1ebfn l\u01b0\u1ee3c nh\u1eb1m gi\u1ea3m s\u1ef1 ph\u1ee5 thu\u1ed9c v\u00e0o GPU Nvidia v\u00e0 \u0111\u1ecbnh h\u00ecnh m\u1ed9t n\u1ec1n t\u1ea3ng t\u00ednh to\u00e1n ri\u00eang cho c\u00e1c m\u00f4 h\u00ecnh AI t\u01b0\u01a1ng lai. \u0110\u01b0\u1ee3c thi\u1ebft k\u1ebf d\u01b0\u1edbi [&hellip;]<\/p>","protected":false},"author":0,"featured_media":65465,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1190],"tags":[1195,1380,1378,1377,1379,1251,790],"class_list":["post-65466","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news","tag-a-i-news","tag-asic","tag-broadcom","tag-chip-ai","tag-jalapeno","tag-nvidia","tag-openai"],"_links":{"self":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/posts\/65466","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/comments?post=65466"}],"version-history":[{"count":0,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/posts\/65466\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/media\/65465"}],"wp:attachment":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/media?parent=65466"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/categories?post=65466"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/tags?post=65466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}