{"id":9286,"date":"2025-02-03T16:17:28","date_gmt":"2025-02-03T09:17:28","guid":{"rendered":"https:\/\/phukienmattroi.com\/index.php\/2025\/02\/03\/nhung-han-che-ve-chip-va-cong-nghe-tao-ra-hoan-canh-de-cong-ty-trung-quoc-tim-cach-tan-dung-tot-nhat-nhung-gi-minh-co-trong-tay\/"},"modified":"2025-02-03T16:17:28","modified_gmt":"2025-02-03T09:17:28","slug":"nhung-han-che-ve-chip-va-cong-nghe-tao-ra-hoan-canh-de-cong-ty-trung-quoc-tim-cach-tan-dung-tot-nhat-nhung-gi-minh-co-trong-tay","status":"publish","type":"post","link":"https:\/\/phukienmattroi.com\/index.php\/2025\/02\/03\/nhung-han-che-ve-chip-va-cong-nghe-tao-ra-hoan-canh-de-cong-ty-trung-quoc-tim-cach-tan-dung-tot-nhat-nhung-gi-minh-co-trong-tay\/","title":{"rendered":"Nh\u1eefng h\u1ea1n ch\u1ebf v\u1ec1 chip v\u00e0 c\u00f4ng ngh\u1ec7 t\u1ea1o ra ho\u00e0n c\u1ea3nh \u0111\u1ec3 c\u00f4ng ty Trung Qu\u1ed1c t\u00ecm c\u00e1ch t\u1eadn d\u1ee5ng t\u1ed1t nh\u1ea5t nh\u1eefng g\u00ec m\u00ecnh c\u00f3 trong tay."},"content":{"rendered":"


\n<\/p>\n

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T\u1eeb m\u1ed9t ph\u00f2ng th\u00ed nghi\u1ec7m nghi\u00ean c\u1ee9u AI do qu\u1ef9 \u0111\u1ea7u t\u01b0 t\u01b0 nh\u00e2n h\u1ed7 tr\u1ee3 \u00edt \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn \u1edf Trung Qu\u1ed1c, DeepSeek tr\u1edf th\u00e0nh c\u00e1i t\u00ean \u0111\u01b0\u1ee3c ch\u00fa \u00fd tr\u00ean to\u00e0n c\u1ea7u v\u00e0 g\u00e2y ch\u1ea5n \u0111\u1ed9ng kh\u1eafp thung l\u0169ng Silicon. <\/p>\n

DeepSeek d\u01b0\u1eddng nh\u01b0 v\u01b0\u1ee3t qua nh\u1eefng c\u00f4ng ty nh\u01b0 OpenAI, Google v\u00e0 Meta trong cu\u1ed9c ch\u1ea1y \u0111ua AI \u0111\u1ea7y r\u1ee7i ro. M\u00f4 h\u00ecnh l\u00fd lu\u1eadn m\u00e3 ngu\u1ed3n m\u1edf m\u1edbi m\u00e0 ph\u00f2ng th\u00ed nghi\u1ec7m n\u00e0y c\u00f4ng b\u1ed1, DeepSeek R1, \u0111\u01b0\u1ee3c cho l\u00e0 v\u01b0\u1ee3t tr\u1ed9i h\u01a1n c\u00e1c m\u00f4 h\u00ecnh AI h\u00e0ng \u0111\u1ea7u hi\u1ec7n t\u1ea1i v\u1ec1 c\u00e1c nhi\u1ec7m v\u1ee5 to\u00e1n h\u1ecdc v\u00e0 l\u00fd lu\u1eadn. <\/p>\n

Ng\u00e0y 27\/1, tr\u1ee3 l\u00fd AI c\u1ee7a ph\u00f2ng th\u00ed nghi\u1ec7m Trung Qu\u1ed1c \u0111\u00e3 v\u01b0\u1ee3t qua ChatGPT \u0111\u1ec3 tr\u1edf th\u00e0nh \u1ee9ng d\u1ee5ng mi\u1ec5n ph\u00ed \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 cao nh\u1ea5t tr\u00ean App Store t\u1ea1i M\u1ef9. <\/p>\n

C\u00e1c m\u00f4 h\u00ecnh AI c\u1ee7a DeepSeek kh\u00f4ng ch\u1ec9 khi\u1ebfn c\u00e1c g\u00e3 kh\u1ed5ng l\u1ed3 AI ph\u01b0\u01a1ng T\u00e2y lo ng\u1ea1i m\u00e0 c\u00f2n l\u00e0m xu\u1ea5t hi\u1ec7n nh\u1eadn \u0111\u1ecbnh r\u1eb1ng M\u1ef9 c\u00f3 th\u1ec3 ph\u1ea3i v\u1eadt l\u1ed9n \u0111\u1ec3 duy tr\u00ec v\u1ecb th\u1ebf th\u1ed1ng tr\u1ecb v\u1ec1 AI c\u1ee7a m\u00ecnh trong cu\u1ed9c “chi\u1ebfn tranh l\u1ea1nh” c\u00f4ng ngh\u1ec7 \u0111ang leo thang v\u1edbi Trung Qu\u1ed1c. <\/p>\n

Theo b\u00e1o c\u00e1o c\u1ee7a Reuters, <\/em> th\u00e0nh c\u00f4ng c\u1ee7a DeepSeek l\u00e0m lung lay ni\u1ec1m tin r\u1ed9ng r\u00e3i r\u1eb1ng vi\u1ec7c \u0111\u1ed5 h\u00e0ng t\u1ef7 USD \u0111\u1ea7u t\u01b0 v\u00e0o chip s\u1ebd \u0111\u1ea3m b\u1ea3o v\u1ecb th\u1ebf d\u1eabn \u0111\u1ea7u, khi\u1ebfn c\u1ed5 phi\u1ebfu c\u00f4ng ngh\u1ec7 tr\u01b0\u1ee3t d\u1ed1c. <\/p>\n

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\"DeepSeek<\/div>
\n

Ng\u01b0\u1eddi s\u00e1ng l\u1eadp DeepSeek – Liang Wenfeng.<\/p>\n<\/figcaption><\/figure>\n

Kh\u1edfi \u0111\u1ea7u v\u00e0 chuy\u1ec3n h\u01b0\u1edbng <\/strong><\/p>\n

N\u0103m 2013, doanh nh\u00e2n Trung Qu\u1ed1c Liang Wenfeng th\u00e0nh l\u1eadp qu\u1ef9 \u0111\u1ea7u t\u01b0 High-Flyer.\u00a0\u0110\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u t\u00e0i ch\u00ednh v\u00e0 h\u1ed7 tr\u1ee3 c\u00e1c ho\u1ea1t \u0111\u1ed9ng ph\u1ee9c t\u1ea1p cho qu\u1ef9, High-Flyer th\u00e0nh l\u1eadp m\u1ed9t nh\u00e1nh nghi\u00ean c\u1ee9u h\u1ecdc s\u00e2u c\u00f3 t\u00ean Fire-Flyer v\u00e0 t\u00edch tr\u1eef c\u00e1c \u0110\u01a1n v\u1ecb x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda (GPU) \u0111\u1ec3 ch\u1ebf t\u1ea1o si\u00eau m\u00e1y t\u00ednh. <\/p>\n

N\u0103m 2023, Liang quy\u1ebft \u0111\u1ecbnh chuy\u1ec3n h\u01b0\u1edbng ngu\u1ed3n l\u1ef1c c\u1ee7a qu\u1ef9 v\u00e0o m\u1ed9t c\u00f4ng ty m\u1edbi c\u00f3 t\u00ean DeepSeek v\u1edbi m\u1ee5c ti\u00eau ph\u00e1t tri\u1ec3n c\u00e1c m\u00f4 h\u00ecnh AI c\u01a1 b\u1ea3n v\u00e0 cu\u1ed1i c\u00f9ng l\u00e0 gi\u1ea3i m\u00e3 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o t\u1ed5ng qu\u00e1t (AGI). <\/p>\n

Thay v\u00ec thu\u00ea c\u00e1c k\u1ef9 s\u01b0 gi\u00e0u kinh nghi\u1ec7m, bi\u1ebft c\u00e1ch x\u00e2y d\u1ef1ng s\u1ea3n ph\u1ea9m AI h\u01b0\u1edbng \u0111\u1ebfn ng\u01b0\u1eddi ti\u00eau d\u00f9ng, Liang tuy\u1ec3n d\u1ee5ng nghi\u00ean c\u1ee9u sinh ti\u1ebfn s\u1ef9 t\u1eeb c\u00e1c tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc h\u00e0ng \u0111\u1ea7u c\u1ee7a Trung Qu\u1ed1c \u0111\u1ec3 tham gia nh\u00f3m nghi\u00ean c\u1ee9u. <\/p>\n

C\u00e1ch ti\u1ebfp c\u1eadn c\u1ee7a Liang trong vi\u1ec7c x\u00e2y d\u1ef1ng nh\u00f3m t\u1eadp trung nghi\u00ean c\u1ee9u \u0111\u01b0\u1ee3c cho l\u00e0 \u0111\u00e3 g\u00f3p ph\u1ea7n v\u00e0o th\u00e0nh c\u00f4ng c\u1ee7a DeepSeek. “To\u00e0n b\u1ed9 nh\u00f3m c\u00f3 c\u00f9ng v\u0103n h\u00f3a h\u1ee3p t\u00e1c v\u00e0 c\u1ed1ng hi\u1ebfn cho nghi\u00ean c\u1ee9u chuy\u00ean s\u00e2u”, <\/em> Zihan Wang, c\u1ef1u nh\u00e2n vi\u00ean c\u1ee7a DeepSeek, n\u00f3i tr\u00ean MIT Technology Review. <\/em><\/p>\n

\n
\"DeepSeek<\/div>
\n

DeepSeek c\u00f3 tr\u00ean web v\u00e0 App Store c\u1ee7a Apple.<\/p>\n<\/figcaption><\/figure>\n

DeepSeek kh\u00e1c bi\u1ec7t th\u1ebf n\u00e0o? <\/strong><\/p>\n

M\u1eb7c d\u00f9 \u0111\u1ea1t \u0111\u01b0\u1ee3c nh\u1eefng c\u1ed9t m\u1ed1c quan tr\u1ecdng trong kho\u1ea3ng th\u1eddi gian ng\u1eafn, DeepSeek \u0111\u01b0\u1ee3c cho l\u00e0 ch\u1ec9 t\u1eadp trung nghi\u00ean c\u1ee9u AI v\u00e0 kh\u00f4ng c\u00f3 k\u1ebf ho\u1ea1ch th\u01b0\u01a1ng m\u1ea1i h\u00f3a c\u00e1c m\u00f4 h\u00ecnh AI ngay l\u1eadp t\u1ee9c. <\/p>\n

“T\u00f4i ch\u01b0a t\u00ecm ra l\u00fd do th\u01b0\u01a1ng m\u1ea1i (\u0111\u1ec3 th\u00e0nh l\u1eadp DeepSeek) ngay c\u1ea3 khi b\u1ea1n h\u1ecfi. Nghi\u00ean c\u1ee9u khoa h\u1ecdc c\u01a1 b\u1ea3n c\u00f3 t\u1ef7 l\u1ec7 ho\u00e0n v\u1ed1n \u0111\u1ea7u t\u01b0 r\u1ea5t th\u1ea5p. Khi c\u00e1c nh\u00e0 \u0111\u1ea7u t\u01b0 ban \u0111\u1ea7u c\u1ee7a OpenAI r\u00f3t ti\u1ec1n, h\u1ecd ch\u1eafc ch\u1eafn kh\u00f4ng ngh\u0129 \u0111\u1ebfn s\u1ed1 ti\u1ec1n s\u1ebd nh\u1eadn \u0111\u01b0\u1ee3c. Thay v\u00e0o \u0111\u00f3, h\u1ecd th\u1ef1c s\u1ef1 mu\u1ed1n l\u00e0m \u0111i\u1ec1u n\u00e0y”, <\/em> Liang n\u00f3i v\u1edbi 36Kr. <\/p>\n

DeepSeek kh\u00f4ng d\u1ef1a v\u00e0o ngu\u1ed3n t\u00e0i tr\u1ee3 t\u1eeb nh\u1eefng g\u00e3 kh\u1ed5ng l\u1ed3 c\u00f4ng ngh\u1ec7 nh\u01b0 Baidu, Alibaba v\u00e0 ByteDance. C\u00f4ng ty ch\u1ec9 \u0111\u01b0\u1ee3c High-Flyer h\u1ed7 tr\u1ee3. Theo b\u00e1o c\u00e1o c\u1ee7a Forbes, c\u00f4ng ty c\u00f3 quan h\u1ec7 \u0111\u1ed1i t\u00e1c v\u1edbi nh\u00e0 s\u1ea3n xu\u1ea5t chip AMD. AMD cung c\u1ea5p n\u0103ng l\u01b0\u1ee3ng cho c\u00e1c m\u00f4 h\u00ecnh nh\u01b0 DeepSeek-V3 b\u1eb1ng GPU AMD Instinct v\u00e0 ph\u1ea7n m\u1ec1m ROCM. <\/p>\n

DeepSeek c\u0169ng l\u00e0 m\u1ed9t trong nh\u1eefng c\u00f4ng ty AI h\u00e0ng \u0111\u1ea7u Trung Qu\u1ed1c \u00e1p d\u1ee5ng nguy\u00ean t\u1eafc m\u00e3 ngu\u1ed3n m\u1edf. <\/p>\n

M\u1eb7c d\u00f9 \u0111\u1ecbnh ngh\u0129a ngu\u1ed3n m\u1edf v\u1eabn c\u00f2n g\u00e2y tranh c\u00e3i, c\u00e1c m\u00f4 h\u00ecnh AI ngu\u1ed3n m\u1edf \u0111\u01b0\u1ee3c cung c\u1ea5p \u0111\u1ec3 b\u1ea5t k\u1ef3 ai c\u0169ng c\u00f3 th\u1ec3 t\u1ea3i xu\u1ed1ng, s\u1eeda \u0111\u1ed5i v\u00e0 s\u1eed d\u1ee5ng. Vi\u1ec7c ph\u00e1t h\u00e0nh c\u00e1c m\u00f4 h\u00ecnh AI v\u00e0 t\u1eadp d\u1eef li\u1ec7u \u0111\u00e0o t\u1ea1o theo gi\u1ea5y ph\u00e9p ngu\u1ed3n m\u1edf c\u00f3 th\u1ec3 thu h\u00fat nhi\u1ec1u ng\u01b0\u1eddi d\u00f9ng v\u00e0 nh\u00e0 ph\u00e1t tri\u1ec3n h\u01a1n, gi\u00fap c\u00e1c m\u00f4 h\u00ecnh ph\u00e1t tri\u1ec3n ti\u00ean ti\u1ebfn h\u01a1n. <\/p>\n

C\u00e1c m\u00f4 h\u00ecnh AI ngu\u1ed3n m\u1edf c\u0169ng \u0111i k\u00e8m v\u1edbi m\u1ed9t s\u1ed1 r\u1ee7i ro v\u1ec1 an to\u00e0n v\u00ec c\u00f3 th\u1ec3 b\u1ecb s\u1eed d\u1ee5ng sai m\u1ee5c \u0111\u00edch. <\/p>\n

\n
\"DeepSeek<\/div>
\n

C\u00e1c m\u00f4 h\u00ecnh c\u1ee7a DeepSeek \u0111\u01b0\u1ee3c cho l\u00e0 c\u00f3 kh\u1ea3 n\u0103ng c\u1ea1nh tranh v\u1edbi ChatGPT c\u1ee7a OpenAI.<\/p>\n<\/figcaption><\/figure>\n

DeepSeek ph\u00e1t h\u00e0nh nh\u1eefng m\u00f4 h\u00ecnh AI n\u00e0o? <\/strong><\/p>\n

Nh\u1eefng m\u00f4 h\u00ecnh AI c\u1ee7a DeepSeek \u0111\u01b0\u1ee3c cho l\u00e0 \u0111\u00e3 t\u1ed1i \u01b0u h\u00f3a b\u1eb1ng c\u00e1ch k\u1ebft h\u1ee3p c\u00e1c c\u01a1 ch\u1ebf v\u00e0 k\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y ti\u00ean ti\u1ebfn. <\/p>\n

Hai trong s\u1ed1 \u0111\u00f3 bao g\u1ed3m c\u01a1 ch\u1ebf H\u1ed7n h\u1ee3p chuy\u00ean gia (Mixture of Experts – MoE) v\u00e0 Ch\u00fa \u00fd ng\u1ea7m nhi\u1ec1u \u0111\u1ea7u (Multi-Head Latent Attention – MHA). <\/p>\n

MoE l\u00e0 k\u1ef9 thu\u1eadt m\u00e0 nhi\u1ec1u m\u00f4 h\u00ecnh chuy\u00ean bi\u1ec7t (chuy\u00ean gia) l\u00e0m vi\u1ec7c c\u00f9ng nhau, v\u1edbi m\u1ea1ng l\u01b0\u1edbi c\u1ed5ng ch\u1ecdn chuy\u00ean gia t\u1ed1t nh\u1ea5t \u0111\u1ec3 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 cho m\u1ed7i \u0111\u1ea7u v\u00e0o, gi\u00fap \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh m\u1ea1nh v\u1edbi chi ph\u00ed h\u1ee3p l\u00fd. <\/p>\n

MHA \u0111\u1ea3m b\u1ea3o suy lu\u1eadn hi\u1ec7u qu\u1ea3 th\u00f4ng qua vi\u1ec7c n\u00e9n \u0111\u00e1ng k\u1ec3 c\u00e1c \u0111\u01a1n v\u1ecb d\u1eef li\u1ec7u. <\/p>\n

M\u1ed9t s\u1ed1 m\u00f4 h\u00ecnh AI ngu\u1ed3n m\u1edf do DeepSeek ph\u00e1t tri\u1ec3n bao g\u1ed3m: DeepSeek Coder (\u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho c\u00e1c t\u00e1c v\u1ee5 li\u00ean quan \u0111\u1ebfn m\u00e3 h\u00f3a), DeepSeek LLM (c\u00f3 67 t\u1ef7 tham s\u1ed1 \u0111\u1ec3 c\u1ea1nh tranh v\u1edbi c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn kh\u00e1c); DeepSeek-V2 (m\u00f4 h\u00ecnh AI gi\u00e1 r\u1ebb v\u1edbi hi\u1ec7u su\u1ea5t m\u1ea1nh m\u1ebd), DeepSeek-Coder-V2 (m\u00f4 h\u00ecnh AI c\u00f3 236 t\u1ef7 tham s\u1ed1 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho c\u00e1c th\u00e1ch th\u1ee9c m\u00e3 h\u00f3a ph\u1ee9c t\u1ea1p), DeepSeek-V3 (m\u00f4 h\u00ecnh AI c\u00f3 671 t\u1ef7 tham s\u1ed1 c\u00f3 th\u1ec3 x\u1eed l\u00fd nhi\u1ec1u t\u00e1c v\u1ee5 nh\u01b0 m\u00e3 h\u00f3a, d\u1ecbch thu\u1eadt, vi\u1ebft b\u00e0i lu\u1eadn v\u00e0 email), DeepSeek-R1 (m\u00f4 h\u00ecnh AI \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho c\u00e1c t\u00e1c v\u1ee5 l\u00fd lu\u1eadn, v\u1edbi c\u00e1c kh\u1ea3 n\u0103ng th\u00e1ch th\u1ee9c m\u00f4 h\u00ecnh o1 marquee c\u1ee7a OpenAI), DeepSeek-R1-Distill (m\u00f4 h\u00ecnh AI \u0111\u00e3 \u0111\u01b0\u1ee3c tinh ch\u1ec9nh d\u1ef1a tr\u00ean d\u1eef li\u1ec7u t\u1ed5ng h\u1ee3p do DeepSeek R1 t\u1ea1o ra). <\/p>\n

T\u01b0\u01a1ng lai c\u1ee7a DeepSeek <\/strong><\/p>\n

K\u1ec3 t\u1eeb n\u0103m 2022, M\u1ef9 c\u00f4ng b\u1ed1 c\u00e1c bi\u1ec7n ph\u00e1p ki\u1ec3m so\u00e1t xu\u1ea5t kh\u1ea9u, h\u1ea1n ch\u1ebf s\u1ef1 ti\u1ebfp c\u1eadn c\u1ee7a c\u00e1c c\u00f4ng ty AI Trung Qu\u1ed1c v\u1edbi c\u00e1c GPU nh\u01b0 H100 c\u1ee7a Nvidia. M\u1eb7c d\u00f9 DeepSeek c\u00f3 kho d\u1ef1 tr\u1eef 10.000 GPU H100 nh\u01b0ng c\u00f4ng ty c\u1ea7n nhi\u1ec1u chip h\u01a1n \u0111\u1ec3 m\u1edf r\u1ed9ng quy m\u00f4 c\u00e1c m\u00f4 h\u00ecnh AI c\u1ee7a m\u00ecnh. <\/p>\n

Ngu\u1ed3n l\u1ef1c h\u1ea1n ch\u1ebf khi\u1ebfn DeepSeek ph\u1ea3i s\u1eed d\u1ee5ng ch\u00fang hi\u1ec7u qu\u1ea3 h\u01a1n. Ph\u00f2ng nghi\u00ean c\u1ee9u AI n\u00e0y \u0111\u00e3 l\u00e0m l\u1ea1i quy tr\u00ecnh \u0111\u1ec3 gi\u1ea3m b\u1edbt g\u00e1nh n\u1eb7ng cho GPU, theo ti\u1ebft l\u1ed9 c\u1ee7a Wang, c\u1ef1u nh\u00e2n vi\u00ean c\u1ee7a DeepSeek, v\u1edbi MIT Technology Review. <\/em><\/p>\n

M\u1eb7c d\u00f9 DeepSeek c\u00f3 th\u1ec3 ph\u00e1t tri\u1ec3n v\u00e0 tri\u1ec3n khai c\u00e1c m\u00f4 h\u00ecnh AI m\u1ea1nh m\u1ebd m\u00e0 kh\u00f4ng c\u1ea7n ti\u1ebfp c\u1eadn c\u00e1c ph\u1ea7n c\u1ee9ng m\u1edbi nh\u1ea5t, c\u00f4ng ty v\u1eabn s\u1ebd c\u1ea7n thu h\u1eb9p kho\u1ea3ng c\u00e1ch t\u00ednh to\u00e1n t\u1ea1i m\u1ed9t th\u1eddi \u0111i\u1ec3m n\u00e0o \u0111\u00f3 \u0111\u1ec3 m\u1edf r\u1ed9ng quy m\u00f4 c\u00e1c m\u00f4 h\u00ecnh AI v\u00e0 c\u1ea1nh tranh hi\u1ec7u qu\u1ea3 h\u01a1n v\u1edbi c\u00e1c c\u00f4ng ty M\u1ef9 v\u1edbi ngu\u1ed3n t\u00e0i nguy\u00ean \u0111i\u1ec7n to\u00e1n d\u1ed3i d\u00e0o. <\/p>\n

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