{"id":25950,"date":"2025-08-11T09:55:04","date_gmt":"2025-08-11T02:55:04","guid":{"rendered":"https:\/\/vbee.vn\/blog\/?p=25950"},"modified":"2025-08-18T08:44:53","modified_gmt":"2025-08-18T01:44:53","slug":"cuda","status":"publish","type":"post","link":"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/","title":{"rendered":"CUDA l\u00e0 g\u00ec? N\u00e2ng cao hi\u1ec7u su\u1ea5t t\u00ednh to\u00e1n v\u1edbi c\u00f4ng ngh\u1ec7 NVIDIA"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\"><div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">N\u1ed9i dung ch\u00ednh<\/p><span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#1_CUDA_la_gi\" >1. CUDA l\u00e0 g\u00ec?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#2_Lich_su_phat_trien_cua_CUDA\" >2. L\u1ecbch s\u1eed ph\u00e1t tri\u1ec3n c\u1ee7a CUDA<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#3_Vai_tro_cua_CUDA_trong_xu_ly_tinh_toan\" >3. Vai tr\u00f2 c\u1ee7a CUDA trong x\u1eed l\u00fd t\u00ednh to\u00e1n<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#4_Cach_thuc_hoat_dong_cua_CUDA\" >4. C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a CUDA<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#5_Ung_dung_cua_CUDA_Core\" >5. \u1ee8ng d\u1ee5ng c\u1ee7a CUDA Core<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#51_CUDA_trong_linh_vuc_tri_tue_nhan_tao_va_may_hoc\" >5.1 CUDA trong l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 m\u00e1y h\u1ecdc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#52_Su_dung_CUDA_trong_xu_ly_do_hoa_va_game\" >5.2 S\u1eed d\u1ee5ng CUDA trong x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda v\u00e0 game<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#53_CUDA_trong_nghien_cuu_khoa_hoc_va_ky_thuat\" >5.3 CUDA trong nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u00e0 k\u1ef9 thu\u1eadt<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#54_Cac_ung_dung_khac_cua_CUDA_Core\" >5.4 C\u00e1c \u1ee9ng d\u1ee5ng kh\u00e1c c\u1ee7a CUDA Core<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#6_Cac_cau_hoi_thuong_gap_ve_CUDA\" >6. C\u00e1c c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 CUDA<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#61_CUDA_yeu_cau_he_thong_nhu_the_nao\" >6.1 CUDA y\u00eau c\u1ea7u h\u1ec7 th\u1ed1ng nh\u01b0 th\u1ebf n\u00e0o?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#62_CUDA_co_dung_duoc_voi_GPU_AMD_khong\" >6.2 CUDA c\u00f3 d\u00f9ng \u0111\u01b0\u1ee3c v\u1edbi GPU AMD kh\u00f4ng?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#63_CUDA_co_tuong_thich_voi_cac_nen_tang_khac_khong\" >6.3 CUDA c\u00f3 t\u01b0\u01a1ng th\u00edch v\u1edbi c\u00e1c n\u1ec1n t\u1ea3ng kh\u00e1c kh\u00f4ng?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/vbee.vn\/blog\/nvidia\/cuda\/#64_CUDA_co_phu_hop_cho_moi_loai_cong_viec_tinh_toan_khong\" >6.4 CUDA c\u00f3 ph\u00f9 h\u1ee3p cho m\u1ecdi lo\u1ea1i c\u00f4ng vi\u1ec7c t\u00ednh to\u00e1n kh\u00f4ng?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div><p><strong>B\u00e0i vi\u1ebft sau \u0111\u00e2y s\u1ebd gi\u00fap b\u1ea1n hi\u1ec3u r\u00f5 CUDA l\u00e0 g\u00ec, c\u00e1ch ho\u1ea1t \u0111\u1ed9ng ra sao v\u00e0 v\u00ec sao n\u00f3 l\u1ea1i quan tr\u1ecdng \u0111\u1ebfn v\u1eady trong th\u1eddi \u0111\u1ea1i \u0111i\u1ec7n to\u00e1n hi\u1ec7n \u0111\u1ea1i.<\/strong><\/p><p style=\"text-align: center;\"><p><iframe style=\"position: relative; top: 0px; border: none;\" title=\"H\u01b0\u1edbng d\u1eabn s\u1eed d\u1ee5ng\" src=\"https:\/\/vbee.vn\/demo\" width=\"100%\" height=\"320\"><\/iframe><\/p><h2><span class=\"ez-toc-section\" id=\"1_CUDA_la_gi\"><\/span>1. CUDA l\u00e0 g\u00ec?<span class=\"ez-toc-section-end\"><\/span><\/h2><p>CUDA (Compute Unified Device Architecture) l\u00e0 n\u1ec1n t\u1ea3ng l\u1eadp tr\u00ecnh song song do NVIDIA ph\u00e1t tri\u1ec3n, gi\u00fap GPU kh\u00f4ng ch\u1ec9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda m\u00e0 c\u00f2n th\u1ef1c hi\u1ec7n c\u00e1c ph\u00e9p t\u00ednh ph\u1ee9c t\u1ea1p, thay th\u1ebf ph\u1ea7n l\u1edbn c\u00f4ng vi\u1ec7c t\u00ednh to\u00e1n tr\u01b0\u1edbc \u0111\u00e2y v\u1ed1n do CPU \u0111\u1ea3m nh\u1eadn.<\/p><p>Nh\u1edd kh\u1ea3 n\u0103ng x\u1eed l\u00fd h\u00e0ng ngh\u00ecn t\u00e1c v\u1ee5 \u0111\u1ed3ng th\u1eddi, CUDA gi\u00fap t\u0103ng t\u1ed1c hi\u1ec7u su\u1ea5t r\u00f5 r\u1ec7t trong c\u00e1c l\u0129nh v\u1ef1c nh\u01b0 <a href=\"https:\/\/vbee.vn\/blog\/ai\/\">tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/a>, ph\u00e2n t\u00edch <a href=\"https:\/\/vbee.vn\/blog\/ai\/cong-nghe-nen-tang-cua-ai\/\">d\u1eef li\u1ec7u l\u1edbn<\/a>, m\u00f4 ph\u1ecfng khoa h\u1ecdc v\u00e0 ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m. \u0110\u00e2y l\u00e0 l\u00fd do v\u00ec sao CUDA hi\u1ec7n \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i trong nghi\u00ean c\u1ee9u, <a href=\"https:\/\/vbee.vn\/blog\/chuyen-van-ban-thanh-giong-noi\/linh-vuc\/y-te\/\">y t\u1ebf<\/a>, t\u00e0i ch\u00ednh v\u00e0 nhi\u1ec1u ng\u00e0nh c\u00f4ng nghi\u1ec7p kh\u00e1c \u0111\u00f2i h\u1ecfi s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n l\u1edbn.<\/p><figure id=\"attachment_25952\" aria-describedby=\"caption-attachment-25952\" style=\"width: 768px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-25952 size-full\" src=\"https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cuda-la-gi.webp\" alt=\"CUDA l\u00e0 n\u1ec1n t\u1ea3ng l\u1eadp tr\u00ecnh song song c\u1ee7a NVIDIA, gi\u00fap GPU x\u1eed l\u00fd t\u00ednh to\u00e1n ph\u1ee9c t\u1ea1p v\u00e0 t\u0103ng t\u1ed1c hi\u1ec7u su\u1ea5t trong nhi\u1ec1u l\u0129nh v\u1ef1c ngo\u00e0i \u0111\u1ed3 h\u1ecda.\" width=\"768\" height=\"430\" title=\"\" srcset=\"https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cuda-la-gi.webp 768w, https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cuda-la-gi-300x168.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><figcaption id=\"caption-attachment-25952\" class=\"wp-caption-text\">CUDA l\u00e0 n\u1ec1n t\u1ea3ng l\u1eadp tr\u00ecnh song song c\u1ee7a NVIDIA, gi\u00fap GPU x\u1eed l\u00fd t\u00ednh to\u00e1n ph\u1ee9c t\u1ea1p v\u00e0 t\u0103ng t\u1ed1c hi\u1ec7u su\u1ea5t trong nhi\u1ec1u l\u0129nh v\u1ef1c ngo\u00e0i \u0111\u1ed3 h\u1ecda.<\/figcaption><\/figure><h2><span class=\"ez-toc-section\" id=\"2_Lich_su_phat_trien_cua_CUDA\"><\/span>2. L\u1ecbch s\u1eed ph\u00e1t tri\u1ec3n c\u1ee7a CUDA<span class=\"ez-toc-section-end\"><\/span><\/h2><p>Tr\u01b0\u1edbc khi CUDA ra \u0111\u1eddi, c\u00e1c k\u1ef9 s\u01b0 v\u00e0 nh\u00e0 khoa h\u1ecdc \u0111\u00e3 c\u1ed1 g\u1eafng d\u00f9ng GPU \u0111\u1ec3 x\u1eed l\u00fd t\u00ednh to\u00e1n qua c\u00e1c m\u00f4 h\u00ecnh nh\u01b0 Brook \u2013 m\u1ed9t d\u1ef1 \u00e1n nghi\u00ean c\u1ee9u v\u00e0o n\u0103m 2003. Sau \u0111\u00f3, ch\u00ednh nh\u1eefng nh\u00e0 nghi\u00ean c\u1ee9u n\u00e0y gia nh\u1eadp NVIDIA v\u00e0 b\u1eaft \u0111\u1ea7u ph\u00e1t tri\u1ec3n CUDA.<\/p><p>NVIDIA ch\u00ednh th\u1ee9c ra m\u1eaft CUDA v\u00e0o n\u0103m 2006 nh\u01b0 m\u1ed9t n\u1ec1n t\u1ea3ng th\u01b0\u01a1ng m\u1ea1i \u0111\u1ea7u ti\u00ean cho t\u00ednh to\u00e1n \u0111a n\u0103ng tr\u00ean GPU (GPGPU). T\u1eeb \u0111\u00f3, CUDA kh\u00f4ng ng\u1eebng ph\u00e1t tri\u1ec3n v\u00e0 tr\u1edf th\u00e0nh n\u1ec1n t\u1ea3ng ch\u1ee7 l\u1ef1c \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p trong h\u1ea7u h\u1ebft c\u00e1c <a href=\"https:\/\/vbee.vn\/blog\/nvidia\/gpu-cua-nvidia\/\">GPU c\u1ee7a NVIDIA<\/a>. Hi\u1ec7n nay, CUDA \u0111\u00e3 h\u1ed7 tr\u1ee3 nhi\u1ec1u h\u1ec7 \u0111i\u1ec1u h\u00e0nh nh\u01b0 Windows, Linux, macOS (phi\u00ean b\u1ea3n c\u0169) v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong c\u1ea3 nghi\u00ean c\u1ee9u l\u1eabn c\u00f4ng nghi\u1ec7p.<\/p><h2><span class=\"ez-toc-section\" id=\"3_Vai_tro_cua_CUDA_trong_xu_ly_tinh_toan\"><\/span>3. Vai tr\u00f2 c\u1ee7a CUDA trong x\u1eed l\u00fd t\u00ednh to\u00e1n<span class=\"ez-toc-section-end\"><\/span><\/h2><p>V\u1edbi ki\u1ebfn tr\u00fac song song c\u1ee7a GPU, CUDA gi\u00fap m\u00e1y t\u00ednh x\u1eed l\u00fd \u0111\u1ed3ng th\u1eddi nhi\u1ec1u d\u00f2ng d\u1eef li\u1ec7u, ph\u00f9 h\u1ee3p v\u1edbi nh\u1eefng t\u00e1c v\u1ee5 c\u00f3 th\u1ec3 chia nh\u1ecf nh\u01b0 <a href=\"https:\/\/vbee.vn\/blog\/ai\/deep-learning\/\">h\u1ecdc s\u00e2u<\/a> (deep learning), m\u00f4 ph\u1ecfng khoa h\u1ecdc ho\u1eb7c x\u1eed l\u00fd \u1ea3nh\/video.<\/p><p>Thay v\u00ec ch\u1ea1y tu\u1ea7n t\u1ef1 nh\u01b0 CPU, GPU v\u1edbi CUDA c\u00f3 th\u1ec3 th\u1ef1c hi\u1ec7n h\u00e0ng ngh\u00ecn ph\u00e9p t\u00ednh trong c\u00f9ng m\u1ed9t th\u1eddi \u0111i\u1ec3m. Nh\u1edd v\u1eady, c\u00e1c m\u00f4 h\u00ecnh AI hay m\u00f4 ph\u1ecfng v\u1eadt l\u00fd c\u00f3 th\u1ec3 ho\u00e0n th\u00e0nh nhanh h\u01a1n h\u00e0ng ch\u1ee5c l\u1ea7n. CUDA kh\u00f4ng ch\u1ec9 ph\u1ee5c v\u1ee5 cho game v\u00e0 \u0111\u1ed3 h\u1ecda m\u00e0 c\u00f2n l\u00e0 c\u00f4ng c\u1ee5 quan tr\u1ecdng trong nhi\u1ec1u ng\u00e0nh c\u00f4ng nghi\u1ec7p kh\u00e1c nhau.<\/p><h2><span class=\"ez-toc-section\" id=\"4_Cach_thuc_hoat_dong_cua_CUDA\"><\/span>4. C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a CUDA<span class=\"ez-toc-section-end\"><\/span><\/h2><p>CUDA tu\u00e2n theo m\u00f4 h\u00ecnh \u0111i\u1ec7n to\u00e1n song song d\u1eef li\u1ec7u. Th\u00f4ng th\u01b0\u1eddng, m\u1ed7i lu\u1ed3ng th\u1ef1c hi\u1ec7n c\u00f9ng m\u1ed9t thao t\u00e1c tr\u00ean c\u00e1c ph\u1ea7n t\u1eed d\u1eef li\u1ec7u kh\u00e1c nhau m\u1ed9t c\u00e1ch song song.<\/p><p>D\u1eef li\u1ec7u \u0111\u01b0\u1ee3c chia th\u00e0nh m\u1ed9t l\u01b0\u1edbi c\u00e1c kh\u1ed1i 1D, 2D ho\u1eb7c 3D. M\u1ed7i kh\u1ed1i c\u00f3 th\u1ec3 bao g\u1ed3m h\u01a1n 512 lu\u1ed3ng tr\u00ean ph\u1ea7n c\u1ee9ng hi\u1ec7n t\u1ea1i. C\u00e1c lu\u1ed3ng trong m\u1ed9t kh\u1ed1i c\u00f3 th\u1ec3 h\u1ee3p t\u00e1c th\u00f4ng qua b\u1ed9 nh\u1edb chia s\u1ebb. C\u00e1c kh\u1ed1i lu\u1ed3ng \u0111\u01b0\u1ee3c th\u1ef1c thi d\u01b0\u1edbi d\u1ea1ng c\u00e1c nh\u00f3m lu\u1ed3ng nh\u1ecf h\u01a1n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 &#8220;warps&#8221;.<\/p><p>V\u00ed d\u1ee5, khi x\u1eed l\u00fd m\u1ed9t b\u1ee9c \u1ea3nh 4K, GPU s\u1ebd chia h\u00ecnh \u1ea3nh th\u00e0nh l\u01b0\u1edbi 2D g\u1ed3m nhi\u1ec1u kh\u1ed1i, m\u1ed7i kh\u1ed1i c\u00f3 h\u00e0ng tr\u0103m lu\u1ed3ng, v\u00e0 m\u1ed7i lu\u1ed3ng s\u1ebd t\u00ednh to\u00e1n cho m\u1ed9t <a href=\"https:\/\/vbee.vn\/blog\/google\/google-pixel\/\">pixel<\/a> c\u1ee5 th\u1ec3. C\u00e1c lu\u1ed3ng trong c\u00f9ng kh\u1ed1i c\u00f3 th\u1ec3 trao \u0111\u1ed5i d\u1eef li\u1ec7u \u0111\u1ec3 \u00e1p d\u1ee5ng c\u00e1c hi\u1ec7u \u1ee9ng nh\u01b0 l\u00e0m m\u1edd ho\u1eb7c ph\u00e1t hi\u1ec7n bi\u00ean.<\/p><p>Trong khi CPU \u0111\u00f3ng vai tr\u00f2 qu\u1ea3n l\u00fd, \u0111i\u1ec1u ph\u1ed1i v\u00e0 ki\u1ec3m so\u00e1t to\u00e0n b\u1ed9 h\u1ec7 th\u1ed1ng, GPU \u0111\u1ea3m nhi\u1ec7m ph\u1ea7n t\u00ednh to\u00e1n h\u1ea1ng n\u1eb7ng v\u1edbi h\u00e0ng ngh\u00ecn lu\u1ed3ng ch\u1ea1y song song, gi\u00fap x\u1eed l\u00fd nh\u1eefng t\u00e1c v\u1ee5 ph\u1ee9c t\u1ea1p \u0111\u00f2i h\u1ecfi hi\u1ec7u su\u1ea5t v\u00e0 t\u00ednh \u0111\u1ed3ng th\u1eddi cao.<\/p><figure id=\"attachment_25953\" aria-describedby=\"caption-attachment-25953\" style=\"width: 768px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-25953 size-full\" src=\"https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cach-thuc-hoat-dong-cua-cuda.webp\" alt=\"CUDA chia d\u1eef li\u1ec7u th\u00e0nh nhi\u1ec1u lu\u1ed3ng ch\u1ea1y song song tr\u00ean GPU, gi\u00fap x\u1eed l\u00fd kh\u1ed1i l\u01b0\u1ee3ng t\u00ednh to\u00e1n l\u1edbn nhanh h\u01a1n nhi\u1ec1u so v\u1edbi CPU.\" width=\"768\" height=\"512\" title=\"\" srcset=\"https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cach-thuc-hoat-dong-cua-cuda.webp 768w, https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cach-thuc-hoat-dong-cua-cuda-300x200.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><figcaption id=\"caption-attachment-25953\" class=\"wp-caption-text\">CUDA chia d\u1eef li\u1ec7u th\u00e0nh nhi\u1ec1u lu\u1ed3ng ch\u1ea1y song song tr\u00ean GPU, gi\u00fap x\u1eed l\u00fd kh\u1ed1i l\u01b0\u1ee3ng t\u00ednh to\u00e1n l\u1edbn nhanh h\u01a1n nhi\u1ec1u so v\u1edbi CPU.<\/figcaption><\/figure><h2><span class=\"ez-toc-section\" id=\"5_Ung_dung_cua_CUDA_Core\"><\/span>5. \u1ee8ng d\u1ee5ng c\u1ee7a CUDA Core<span class=\"ez-toc-section-end\"><\/span><\/h2><p>Sau khi ra \u0111\u1eddi, CUDA nhanh ch\u00f3ng ch\u1ee9ng minh gi\u00e1 tr\u1ecb th\u1ef1c ti\u1ec5n v\u00e0 \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i trong nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau, t\u1eeb tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, \u0111\u1ed3 h\u1ecda, game \u0111\u1ebfn khoa h\u1ecdc, k\u1ef9 thu\u1eadt v\u00e0 y t\u1ebf. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 nh\u1eefng \u1ee9ng d\u1ee5ng ti\u00eau bi\u1ec3u c\u1ee7a CUDA Core trong c\u00e1c ng\u00e0nh c\u00f4ng ngh\u1ec7 hi\u1ec7n \u0111\u1ea1i.<\/p><h3><span class=\"ez-toc-section\" id=\"51_CUDA_trong_linh_vuc_tri_tue_nhan_tao_va_may_hoc\"><\/span>5.1 CUDA trong l\u0129nh v\u1ef1c tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 m\u00e1y h\u1ecdc<span class=\"ez-toc-section-end\"><\/span><\/h3><p>Trong l\u0129nh v\u1ef1c AI, CUDA \u0111\u00f3ng vai tr\u00f2 then ch\u1ed1t khi gi\u00fap t\u0103ng t\u1ed1c \u0111\u1ed9 hu\u1ea5n luy\u1ec7n c\u00e1c m\u00f4 h\u00ecnh deep learning nhanh ch\u00f3ng h\u01a1n. B\u00ean c\u1ea1nh \u0111\u00f3, NVIDIA ph\u00e1t tri\u1ec3n cuDNN d\u1ef1a tr\u00ean n\u1ec1n t\u1ea3ng CUDA v\u00e0 \u0111\u00e3 \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p s\u1eb5n v\u00e0o c\u00e1c framework ph\u1ed5 bi\u1ebfn nh\u01b0 <a href=\"https:\/\/vbee.vn\/blog\/google\/tensorflow\/\">TensorFlow<\/a>, PyTorch hay MXNet, gi\u00fap c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n d\u1ec5 d\u00e0ng t\u1eadn d\u1ee5ng s\u1ee9c m\u1ea1nh c\u1ee7a GPU m\u00e0 kh\u00f4ng c\u1ea7n vi\u1ebft m\u00e3 ph\u1ee9c t\u1ea1p. Nh\u1eefng m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn nh\u01b0 GPT c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n nhanh h\u01a1n h\u00e0ng ch\u1ee5c l\u1ea7n nh\u1edd CUDA, r\u00fat ng\u1eafn th\u1eddi gian t\u1eeb v\u00e0i th\u00e1ng xu\u1ed1ng ch\u1ec9 c\u00f2n v\u00e0i ng\u00e0y.<\/p><figure id=\"attachment_25954\" aria-describedby=\"caption-attachment-25954\" style=\"width: 768px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" class=\"wp-image-25954 size-full\" src=\"https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cuda-trong-linh-vuc-tri-tue-nhan-tao-va-may-hoc.webp\" alt=\"CUDA t\u0103ng t\u1ed1c hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh deep learning, gi\u00fap c\u00e1c m\u00f4 h\u00ecnh l\u1edbn nh\u01b0 GPT r\u00fat ng\u1eafn th\u1eddi gian \u0111\u00e0o t\u1ea1o t\u1eeb v\u00e0i th\u00e1ng xu\u1ed1ng ch\u1ec9 c\u00f2n v\u00e0i ng\u00e0y.\" width=\"768\" height=\"438\" title=\"\" srcset=\"https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cuda-trong-linh-vuc-tri-tue-nhan-tao-va-may-hoc.webp 768w, https:\/\/vbee.vn\/blog\/wp-content\/uploads\/2025\/08\/cuda-trong-linh-vuc-tri-tue-nhan-tao-va-may-hoc-300x171.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><figcaption id=\"caption-attachment-25954\" class=\"wp-caption-text\">CUDA t\u0103ng t\u1ed1c hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh deep learning, gi\u00fap c\u00e1c m\u00f4 h\u00ecnh l\u1edbn nh\u01b0 GPT r\u00fat ng\u1eafn th\u1eddi gian \u0111\u00e0o t\u1ea1o t\u1eeb v\u00e0i th\u00e1ng xu\u1ed1ng ch\u1ec9 c\u00f2n v\u00e0i ng\u00e0y.<\/figcaption><\/figure><h3><span class=\"ez-toc-section\" id=\"52_Su_dung_CUDA_trong_xu_ly_do_hoa_va_game\"><\/span>5.2 S\u1eed d\u1ee5ng CUDA trong x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda v\u00e0 game<span class=\"ez-toc-section-end\"><\/span><\/h3><p>CUDA v\u1eabn gi\u1eef vai tr\u00f2 quan tr\u1ecdng trong ng\u00e0nh \u0111\u1ed3 h\u1ecda, \u0111\u1eb7c bi\u1ec7t l\u00e0 khi k\u1ebft h\u1ee3p v\u1edbi c\u00f4ng ngh\u1ec7 ray tracing trong d\u00f2ng s\u1ea3n ph\u1ea9m RTX c\u1ee7a NVIDIA. Nh\u1edd CUDA, c\u00e1c hi\u1ec7u \u1ee9ng \u00e1nh s\u00e1ng, m\u00f4 ph\u1ecfng ch\u1ea5t l\u1ecfng hay x\u1eed l\u00fd v\u1eadt l\u00fd trong game tr\u1edf n\u00ean ch\u00e2n th\u1ef1c h\u01a1n m\u00e0 kh\u00f4ng l\u00e0m gi\u1ea3m t\u1ed1c \u0111\u1ed9 khung h\u00ecnh.<\/p><p>C\u00e1c n\u1ec1n t\u1ea3ng nh\u01b0 Unreal Engine hay Unity \u0111\u1ec1u t\u00edch h\u1ee3p CUDA \u0111\u1ec3 t\u1ed1i \u01b0u hi\u1ec7u \u1ee9ng h\u00ecnh \u1ea3nh. Trong l\u0129nh v\u1ef1c l\u00e0m phim v\u00e0 ho\u1ea1t h\u00ecnh, c\u00e1c studio l\u1edbn nh\u01b0 Pixar hay DreamWorks c\u0169ng s\u1eed d\u1ee5ng CUDA \u0111\u1ec3 r\u00fat ng\u1eafn th\u1eddi gian render t\u1eebng khung h\u00ecnh xu\u1ed1ng ch\u1ec9 c\u00f2n v\u00e0i ph\u00fat.<\/p><h3><span class=\"ez-toc-section\" id=\"53_CUDA_trong_nghien_cuu_khoa_hoc_va_ky_thuat\"><\/span>5.3 CUDA trong nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u00e0 k\u1ef9 thu\u1eadt<span class=\"ez-toc-section-end\"><\/span><\/h3><p>CUDA gi\u00fap t\u0103ng t\u1ed1c \u0111\u00e1ng k\u1ec3 c\u00e1c m\u00f4 ph\u1ecfng khoa h\u1ecdc v\u1ed1n r\u1ea5t t\u1ed1n th\u1eddi gian khi ch\u1ea1y b\u1eb1ng CPU.<\/p><ul><li>Trong \u0111\u1ed9ng l\u1ef1c h\u1ecdc ph\u00e2n t\u1eed, c\u00e1c ph\u1ea7n m\u1ec1m nh\u01b0 AMBER, GROMACS v\u00e0 NAMD s\u1eed d\u1ee5ng CUDA \u0111\u1ec3 m\u00f4 ph\u1ecfng qu\u00e1 tr\u00ecnh g\u1eadp protein, t\u01b0\u01a1ng t\u00e1c thu\u1ed1c v\u00e0 c\u00e1c hi\u1ec7n t\u01b0\u1ee3ng sinh h\u1ecdc ph\u1ee9c t\u1ea1p nhanh h\u01a1n h\u00e0ng ch\u1ee5c l\u1ea7n.<\/li><li>Trong v\u1eadt l\u00fd l\u01b0\u1ee3ng t\u1eed, CUDA cho ph\u00e9p m\u00f4 ph\u1ecfng nh\u1eefng h\u1ec7 th\u1ed1ng tr\u01b0\u1edbc \u0111\u00e2y kh\u00f4ng th\u1ec3 th\u1ef1c hi\u1ec7n \u0111\u01b0\u1ee3c v\u00ec gi\u1edbi h\u1ea1n t\u00ednh to\u00e1n. T\u1ea1i CERN, GPU d\u00f9ng CUDA \u0111\u01b0\u1ee3c tri\u1ec3n khai \u0111\u1ec3 x\u1eed l\u00fd h\u00e0ng petabyte d\u1eef li\u1ec7u t\u1eeb c\u00e1c th\u00ed nghi\u1ec7m va ch\u1ea1m h\u1ea1t.<\/li><li>V\u1edbi c\u01a1 h\u1ecdc l\u01b0u ch\u1ea5t (CFD), CUDA gi\u00fap c\u00e1c k\u1ef9 s\u01b0 m\u00f4 ph\u1ecfng ch\u00ednh x\u00e1c d\u00f2ng kh\u00ed quanh m\u00e1y bay, \u00f4 t\u00f4 ho\u1eb7c t\u00f2a nh\u00e0 trong th\u1eddi gian ng\u1eafn h\u01a1n nhi\u1ec1u, t\u1eeb \u0111\u00f3 t\u1ed1i \u01b0u thi\u1ebft k\u1ebf v\u00e0 r\u00fat ng\u1eafn qu\u00e1 tr\u00ecnh ph\u00e1t tri\u1ec3n s\u1ea3n ph\u1ea9m.<\/li><\/ul><h3><span class=\"ez-toc-section\" id=\"54_Cac_ung_dung_khac_cua_CUDA_Core\"><\/span>5.4 C\u00e1c \u1ee9ng d\u1ee5ng kh\u00e1c c\u1ee7a CUDA Core<span class=\"ez-toc-section-end\"><\/span><\/h3><p>Ngo\u00e0i nh\u1eefng l\u0129nh v\u1ef1c ch\u00ednh \u0111\u00e3 \u0111\u1ec1 c\u1eadp, CUDA c\u00f2n \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i trong nhi\u1ec1u ng\u00e0nh kh\u00e1c.<\/p><ul><li>Trong l\u0129nh v\u1ef1c t\u00e0i ch\u00ednh, CUDA gi\u00fap t\u0103ng t\u1ed1c c\u00e1c m\u00f4 h\u00ecnh \u0111\u1ecbnh gi\u00e1 ph\u1ee9c t\u1ea1p, ph\u00e2n t\u00edch r\u1ee7i ro, v\u00e0 thu\u1eadt to\u00e1n giao d\u1ecbch t\u1ea7n su\u1ea5t cao.<\/li><li>Ng\u00e0nh y t\u1ebf c\u0169ng h\u01b0\u1edfng l\u1ee3i \u0111\u00e1ng k\u1ec3 t\u1eeb CUDA. C\u00e1c ph\u1ea7n m\u1ec1m t\u00e1i t\u1ea1o h\u00ecnh \u1ea3nh CT v\u00e0 MRI s\u1eed d\u1ee5ng GPU \u0111\u1ec3 x\u1eed l\u00fd nhanh h\u01a1n nhi\u1ec1u l\u1ea7n, cho ph\u00e9p b\u00e1c s\u0129 nh\u1eadn k\u1ebft qu\u1ea3 nhanh ch\u00f3ng. Trong x\u1eed l\u00fd gen, CUDA \u0111\u1ea9y nhanh vi\u1ec7c gi\u1ea3i tr\u00ecnh t\u1ef1 DNA v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u gen, g\u00f3p ph\u1ea7n v\u00e0o nh\u1eefng ti\u1ebfn b\u1ed9 trong y h\u1ecdc ch\u00ednh x\u00e1c.<\/li><li>Trong l\u0129nh v\u1ef1c x\u1eed l\u00fd video, NVIDIA cung c\u1ea5p NVENC v\u00e0 NVDEC &#8211; c\u00e1c b\u1ed9 m\u00e3 h\u00f3a v\u00e0 gi\u1ea3i m\u00e3 video d\u1ef1a tr\u00ean GPU, t\u1eadn d\u1ee5ng CUDA \u0111\u1ec3 x\u1eed l\u00fd video c\u1ef1c nhanh. \u0110i\u1ec1u n\u00e0y \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng trong th\u1eddi \u0111\u1ea1i ph\u00e1t tr\u1ef1c ti\u1ebfp v\u00e0 n\u1ed9i dung 4K\/8K.<\/li><li>Trong l\u0129nh v\u1ef1c ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn (Big Data), CUDA c\u0169ng \u0111ang t\u1ea1o ra nh\u1eefng thay \u0111\u1ed5i r\u00f5 r\u1ec7t. N\u1ec1n t\u1ea3ng RAPIDS c\u1ee7a NVIDIA l\u00e0 b\u1ed9 th\u01b0 vi\u1ec7n d\u1ef1a tr\u00ean CUDA cho ph\u00e9p c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u th\u1ef1c hi\u1ec7n x\u1eed l\u00fd d\u1eef li\u1ec7u v\u00e0 <a href=\"https:\/\/vbee.vn\/blog\/ai\/machine-learning\/\">h\u1ecdc m\u00e1y<\/a> tr\u00ean GPU, v\u1edbi hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i so v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 CPU truy\u1ec1n th\u1ed1ng nh\u01b0 Pandas v\u00e0 Scikit-learn.<\/li><\/ul><h2><span class=\"ez-toc-section\" id=\"6_Cac_cau_hoi_thuong_gap_ve_CUDA\"><\/span>6. C\u00e1c c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 CUDA<span class=\"ez-toc-section-end\"><\/span><\/h2><h3><span class=\"ez-toc-section\" id=\"61_CUDA_yeu_cau_he_thong_nhu_the_nao\"><\/span>6.1 CUDA y\u00eau c\u1ea7u h\u1ec7 th\u1ed1ng nh\u01b0 th\u1ebf n\u00e0o?<span class=\"ez-toc-section-end\"><\/span><\/h3><p>\u0110\u1ec3 ch\u1ea1y CUDA, b\u1ea1n c\u1ea7n GPU NVIDIA t\u01b0\u01a1ng th\u00edch (th\u01b0\u1eddng l\u00e0 d\u00f2ng GeForce 8xxx tr\u1edf l\u00ean), c\u00e0i \u0111\u00fang driver ph\u00f9 h\u1ee3p v\u1edbi phi\u00ean b\u1ea3n CUDA Toolkit b\u1ea1n s\u1eed d\u1ee5ng. M\u00e1y n\u00ean c\u00f3 \u00edt nh\u1ea5t 4GB RAM v\u00e0 GPU v\u1edbi t\u1ed1i thi\u1ec3u 2GB VRAM cho c\u00e1c t\u00e1c v\u1ee5 c\u01a1 b\u1ea3n. Ngo\u00e0i ra, b\u1ea1n c\u1ea7n c\u00e0i th\u00eam tr\u00ecnh bi\u00ean d\u1ecbch nh\u01b0 Visual Studio (Windows), GCC ho\u1eb7c Clang (Linux\/macOS).<\/p><h3><span class=\"ez-toc-section\" id=\"62_CUDA_co_dung_duoc_voi_GPU_AMD_khong\"><\/span>6.2 CUDA c\u00f3 d\u00f9ng \u0111\u01b0\u1ee3c v\u1edbi GPU AMD kh\u00f4ng?<span class=\"ez-toc-section-end\"><\/span><\/h3><p>Kh\u00f4ng. CUDA l\u00e0 c\u00f4ng ngh\u1ec7 \u0111\u1ed9c quy\u1ec1n c\u1ee7a NVIDIA v\u00e0 ch\u1ec9 ho\u1ea1t \u0111\u1ed9ng tr\u00ean GPU c\u1ee7a h\u00e3ng n\u00e0y. N\u1ebfu b\u1ea1n \u0111ang d\u00f9ng GPU AMD, b\u1ea1n c\u1ea7n chuy\u1ec3n sang c\u00e1c gi\u1ea3i ph\u00e1p thay th\u1ebf nh\u01b0 OpenCL, ROCm ho\u1eb7c HIP.<\/p><h3><span class=\"ez-toc-section\" id=\"63_CUDA_co_tuong_thich_voi_cac_nen_tang_khac_khong\"><\/span>6.3 CUDA c\u00f3 t\u01b0\u01a1ng th\u00edch v\u1edbi c\u00e1c n\u1ec1n t\u1ea3ng kh\u00e1c kh\u00f4ng?<span class=\"ez-toc-section-end\"><\/span><\/h3><p>CUDA h\u1ed7 tr\u1ee3 t\u1ed1t tr\u00ean Windows v\u00e0 h\u1ea7u h\u1ebft c\u00e1c b\u1ea3n ph\u00e2n ph\u1ed1i Linux. \u0110\u1ed1i v\u1edbi macOS, c\u00e1c phi\u00ean b\u1ea3n c\u0169 c\u00f3 th\u1ec3 ch\u1ea1y CUDA n\u1ebfu m\u00e1y d\u00f9ng GPU NVIDIA. Tuy nhi\u00ean, k\u1ec3 t\u1eeb khi Apple chuy\u1ec3n sang GPU AMD v\u00e0 chip Apple Silicon, h\u1ed7 tr\u1ee3 CUDA tr\u00ean macOS g\u1ea7n nh\u01b0 kh\u00f4ng c\u00f2n. N\u1ebfu b\u1ea1n c\u1ea7n ch\u1ea1y tr\u00ean nhi\u1ec1u n\u1ec1n t\u1ea3ng, n\u00ean d\u00f9ng c\u00e1c th\u01b0 vi\u1ec7n cao h\u01a1n nh\u01b0 TensorFlow, PyTorch ho\u1eb7c OpenCL \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o t\u00ednh linh ho\u1ea1t.<\/p><h3><span class=\"ez-toc-section\" id=\"64_CUDA_co_phu_hop_cho_moi_loai_cong_viec_tinh_toan_khong\"><\/span>6.4 CUDA c\u00f3 ph\u00f9 h\u1ee3p cho m\u1ecdi lo\u1ea1i c\u00f4ng vi\u1ec7c t\u00ednh to\u00e1n kh\u00f4ng?<span class=\"ez-toc-section-end\"><\/span><\/h3><p>Kh\u00f4ng. CUDA ho\u1ea1t \u0111\u1ed9ng t\u1ed1t nh\u1ea5t v\u1edbi c\u00e1c t\u00e1c v\u1ee5 c\u00f3 th\u1ec3 chia nh\u1ecf v\u00e0 x\u1eed l\u00fd song song nh\u01b0 AI, x\u1eed l\u00fd \u1ea3nh, m\u00f4 ph\u1ecfng ho\u1eb7c t\u00ednh to\u00e1n khoa h\u1ecdc. Nh\u1eefng c\u00f4ng vi\u1ec7c tu\u1ea7n t\u1ef1 ho\u1eb7c c\u00f3 nhi\u1ec1u nh\u00e1nh \u0111i\u1ec1u ki\u1ec7n ph\u1ee9c t\u1ea1p th\u01b0\u1eddng v\u1eabn ph\u00f9 h\u1ee3p h\u01a1n v\u1edbi CPU.<\/p><p>CUDA \u0111\u00e3 bi\u1ebfn GPU t\u1eeb c\u00f4ng c\u1ee5 \u0111\u1ed3 h\u1ecda th\u00e0nh c\u1ed7 m\u00e1y t\u00ednh to\u00e1n si\u00eau m\u1ea1nh m\u1ebd. V\u1edbi kh\u1ea3 n\u0103ng x\u1eed l\u00fd h\u00e0ng ngh\u00ecn t\u00e1c v\u1ee5 \u0111\u1ed3ng th\u1eddi, CUDA \u0111\u00f3ng vai tr\u00f2 trung t\u00e2m trong l\u00e0n s\u00f3ng AI, khoa h\u1ecdc t\u00ednh to\u00e1n v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u hi\u1ec7n \u0111\u1ea1i. Hy v\u1ecdng b\u00e0i vi\u1ebft tr\u00ean s\u1ebd gi\u00fap b\u1ea1n c\u00f3 th\u00eam \u0111\u01b0\u1ee3c ki\u1ebfn th\u1ee9c v\u1ec1 c\u00e1ch CUDA c\u0169ng nh\u01b0 l\u00fd do v\u00ec sao \u0111\u00e2y l\u00e0 c\u00f4ng c\u1ee5 kh\u00f4ng th\u1ec3 thi\u1ebfu n\u1ebfu b\u1ea1n \u0111ang l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c t\u00e1c v\u1ee5 t\u00ednh to\u00e1n chuy\u00ean s\u00e2u<\/p>","protected":false},"excerpt":{"rendered":"<p>B\u00e0i vi\u1ebft sau \u0111\u00e2y s\u1ebd gi\u00fap b\u1ea1n hi\u1ec3u r\u00f5 CUDA l\u00e0 g\u00ec, c\u00e1ch ho\u1ea1t \u0111\u1ed9ng ra sao v\u00e0 v\u00ec sao n\u00f3 l\u1ea1i quan tr\u1ecdng \u0111\u1ebfn v\u1eady trong th\u1eddi \u0111\u1ea1i \u0111i\u1ec7n to\u00e1n hi\u1ec7n \u0111\u1ea1i.1. CUDA l\u00e0 g\u00ec?CUDA (Compute Unified Device Architecture) l\u00e0 n\u1ec1n t\u1ea3ng l\u1eadp tr\u00ecnh song song do NVIDIA ph\u00e1t tri\u1ec3n, gi\u00fap GPU kh\u00f4ng ch\u1ec9&#8230;<\/p>\n","protected":false},"author":9,"featured_media":25951,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[227],"tags":[],"class_list":["post-25950","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nvidia"],"_links":{"self":[{"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/posts\/25950","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/comments?post=25950"}],"version-history":[{"count":1,"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/posts\/25950\/revisions"}],"predecessor-version":[{"id":25955,"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/posts\/25950\/revisions\/25955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/media\/25951"}],"wp:attachment":[{"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/media?parent=25950"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/categories?post=25950"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vbee.vn\/blog\/wp-json\/wp\/v2\/tags?post=25950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}