{"id":24768,"date":"2026-09-26T10:22:32","date_gmt":"2026-09-26T03:22:32","guid":{"rendered":"https:\/\/vnso.vn\/?p=24768"},"modified":"2026-09-26T10:22:32","modified_gmt":"2026-09-26T03:22:32","slug":"framework-ai-la-gi","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/framework-ai-la-gi\/","title":{"rendered":"Framework AI l\u00e0 g\u00ec? C\u00e1c framework AI ph\u1ed5 bi\u1ebfn v\u00e0 c\u00e1ch l\u1ef1a ch\u1ecdn"},"content":{"rendered":"<p style=\"text-align: justify;\"><strong>Framework AI (AI framework)<\/strong> l\u00e0 n\u1ec1n t\u1ea3ng ph\u1ea7n m\u1ec1m gi\u00fap l\u1eadp tr\u00ecnh vi\u00ean v\u00e0 k\u1ef9 s\u01b0 x\u00e2y d\u1ef1ng, hu\u1ea5n luy\u1ec7n, t\u1ed1i \u01b0u v\u00e0 tri\u1ec3n khai c\u00e1c m\u00f4 h\u00ecnh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) m\u00e0 kh\u00f4ng ph\u1ea3i t\u1ef1 ph\u00e1t tri\u1ec3n m\u1ecdi th\u00e0nh ph\u1ea7n t\u1eeb \u0111\u1ea7u.<\/p>\n<p style=\"text-align: justify;\">N\u1ebfu m\u1edbi t\u00ecm hi\u1ec3u v\u1ec1 AI, b\u1ea1n c\u00f3 th\u1ec3 b\u1eaft g\u1eb7p r\u1ea5t nhi\u1ec1u c\u00e1i t\u00ean nh\u01b0 <strong>PyTorch, TensorFlow, JAX, Keras, Hugging Face Transformers, NVIDIA NeMo, DeepSpeed hay vLLM<\/strong>. Tuy nhi\u00ean, ch\u00fang kh\u00f4ng ho\u00e0n to\u00e0n gi\u1ed1ng nhau. M\u1ed7i c\u00f4ng c\u1ee5 n\u1eb1m \u1edf m\u1ed9t l\u1edbp kh\u00e1c nhau trong quy tr\u00ecnh ph\u00e1t tri\u1ec3n AI.<\/p>\n<p style=\"text-align: justify;\">V\u00ed d\u1ee5, PyTorch l\u00e0 framework deep learning c\u1ed1t l\u00f5i. Hugging Face Transformers t\u1eadp trung m\u1ea1nh v\u00e0o c\u00e1c m\u00f4 h\u00ecnh d\u1ef1ng s\u1eb5n. DeepSpeed h\u1ed7 tr\u1ee3 m\u1edf r\u1ed9ng qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n. Trong khi \u0111\u00f3, vLLM chuy\u00ean v\u1ec1 tri\u1ec3n khai v\u00e0 suy lu\u1eadn m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM).<\/p>\n<p style=\"text-align: justify;\">Vi\u1ec7c hi\u1ec3u \u0111\u00fang framework AI gi\u00fap ng\u01b0\u1eddi m\u1edbi ch\u1ecdn c\u00f4ng c\u1ee5 ph\u00f9 h\u1ee3p. V\u1edbi doanh nghi\u1ec7p v\u00e0 \u0111\u1ed9i ng\u0169 AI, \u0111i\u1ec1u n\u00e0y c\u00f2n li\u00ean quan tr\u1ef1c ti\u1ebfp \u0111\u1ebfn <strong>GPU, b\u1ed9 nh\u1edb GPU (VRAM), CUDA, hi\u1ec7u n\u0103ng x\u1eed l\u00fd v\u00e0 chi ph\u00ed h\u1ea1 t\u1ea7ng<\/strong>.<\/p>\n<h2 style=\"text-align: justify;\">Framework AI l\u00e0 g\u00ec v\u00e0 framework AI d\u00f9ng \u0111\u1ec3 l\u00e0m g\u00ec?<\/h2>\n<p style=\"text-align: justify;\">C\u00f3 th\u1ec3 hi\u1ec3u \u0111\u01a1n gi\u1ea3n, <strong>framework AI l\u00e0 b\u1ed9 c\u00f4ng c\u1ee5 gi\u00fap bi\u1ebfn \u00fd t\u01b0\u1edfng AI th\u00e0nh m\u1ed9t ch\u01b0\u01a1ng tr\u00ecnh c\u00f3 th\u1ec3 ch\u1ea1y \u0111\u01b0\u1ee3c<\/strong>.<\/p>\n<p style=\"text-align: justify;\">Khi x\u00e2y d\u1ef1ng m\u1ed9t m\u00f4 h\u00ecnh AI t\u1eeb \u0111\u1ea7u, l\u1eadp tr\u00ecnh vi\u00ean ph\u1ea3i x\u1eed l\u00fd r\u1ea5t nhi\u1ec1u c\u00f4ng vi\u1ec7c. Ch\u1eb3ng h\u1ea1n nh\u01b0 t\u1ea1o tensor, t\u00ednh to\u00e1n ma tr\u1eadn, t\u00ednh \u0111\u1ea1o h\u00e0m, c\u1eadp nh\u1eadt tr\u1ecdng s\u1ed1, x\u1eed l\u00fd d\u1eef li\u1ec7u v\u00e0 ch\u1ea1y t\u00ednh to\u00e1n tr\u00ean GPU.<\/p>\n<p style=\"text-align: justify;\">N\u1ebfu t\u1ef1 vi\u1ebft t\u1ea5t c\u1ea3 c\u00e1c th\u00e0nh ph\u1ea7n n\u00e0y, qu\u00e1 tr\u00ecnh ph\u00e1t tri\u1ec3n s\u1ebd r\u1ea5t ph\u1ee9c t\u1ea1p.<\/p>\n<p style=\"text-align: justify;\">Framework AI cung c\u1ea5p s\u1eb5n nhi\u1ec1u th\u00e0nh ph\u1ea7n \u0111\u1ec3 \u0111\u01a1n gi\u1ea3n h\u00f3a c\u00f4ng vi\u1ec7c. Ng\u01b0\u1eddi ph\u00e1t tri\u1ec3n c\u00f3 th\u1ec3 t\u1eadp trung nhi\u1ec1u h\u01a1n v\u00e0o d\u1eef li\u1ec7u, ki\u1ebfn tr\u00fac m\u00f4 h\u00ecnh v\u00e0 b\u00e0i to\u00e1n c\u1ea7n gi\u1ea3i quy\u1ebft.<\/p>\n<p style=\"text-align: justify;\">M\u1ed9t framework c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 c\u00e1c ch\u1ee9c n\u0103ng nh\u01b0:<\/p>\n<ul style=\"text-align: justify;\">\n<li>X\u00e2y d\u1ef1ng m\u1ea1ng n\u01a1-ron.<\/li>\n<li>X\u1eed l\u00fd tensor v\u00e0 ma tr\u1eadn.<\/li>\n<li>T\u1ef1 \u0111\u1ed9ng t\u00ednh gradient.<\/li>\n<li>Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh.<\/li>\n<li>Ch\u1ea1y m\u00f4 h\u00ecnh tr\u00ean CPU ho\u1eb7c GPU.<\/li>\n<li>Ph\u00e2n ph\u1ed1i workload tr\u00ean nhi\u1ec1u GPU.<\/li>\n<li>Fine-tuning m\u00f4 h\u00ecnh c\u00f3 s\u1eb5n.<\/li>\n<li>T\u1ed1i \u01b0u hi\u1ec7u su\u1ea5t.<\/li>\n<li>L\u01b0u v\u00e0 t\u1ea3i model.<\/li>\n<li>Chu\u1ea9n b\u1ecb m\u00f4 h\u00ecnh cho inference.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">Trong \u0111\u00f3, <strong>tensor<\/strong> c\u00f3 th\u1ec3 hi\u1ec3u \u0111\u01a1n gi\u1ea3n l\u00e0 c\u1ea5u tr\u00fac d\u1eef li\u1ec7u nhi\u1ec1u chi\u1ec1u. \u0110\u00e2y l\u00e0 th\u00e0nh ph\u1ea7n xu\u1ea5t hi\u1ec7n r\u1ea5t th\u01b0\u1eddng xuy\u00ean trong deep learning.<\/p>\n<p style=\"text-align: justify;\">V\u00ed d\u1ee5, m\u1ed9t b\u1ee9c \u1ea3nh c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c bi\u1ec3u di\u1ec5n b\u1eb1ng tensor ch\u1ee9a th\u00f4ng tin v\u1ec1 chi\u1ec1u cao, chi\u1ec1u r\u1ed9ng v\u00e0 c\u00e1c k\u00eanh m\u00e0u. M\u1ed9t m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef c\u0169ng s\u1eed d\u1ee5ng tensor \u0111\u1ec3 bi\u1ec3u di\u1ec5n token, tr\u1ecdng s\u1ed1 v\u00e0 c\u00e1c ph\u00e9p t\u00ednh b\u00ean trong m\u1ea1ng.<\/p>\n<p><a href=\"https:\/\/gpu.vnso.vn\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-24769\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/Framework-AI-hoat-dong-nhu-the-nao.jpg\" alt=\"Framework AI ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/Framework-AI-hoat-dong-nhu-the-nao.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/Framework-AI-hoat-dong-nhu-the-nao-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/Framework-AI-hoat-dong-nhu-the-nao-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/Framework-AI-hoat-dong-nhu-the-nao-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/Framework-AI-hoat-dong-nhu-the-nao-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<h3 style=\"text-align: justify;\">Framework AI ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o?<\/h3>\n<p style=\"text-align: justify;\">M\u1ed9t quy tr\u00ecnh AI \u0111\u01a1n gi\u1ea3n c\u00f3 th\u1ec3 h\u00ecnh dung nh\u01b0 sau:<\/p>\n<p style=\"text-align: justify;\"><strong>D\u1eef li\u1ec7u \u2192 Framework AI \u2192 Model \u2192 Hu\u1ea5n luy\u1ec7n \u2192 \u0110\u00e1nh gi\u00e1 \u2192 Inference \u2192 \u1ee8ng d\u1ee5ng<\/strong><\/p>\n<p style=\"text-align: justify;\">V\u00ed d\u1ee5, m\u1ed9t nh\u00f3m ph\u00e1t tri\u1ec3n mu\u1ed1n x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh nh\u1eadn di\u1ec7n h\u00ecnh \u1ea3nh.<\/p>\n<p style=\"text-align: justify;\">\u0110\u1ea7u ti\u00ean, d\u1eef li\u1ec7u h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c chu\u1ea9n b\u1ecb. Framework AI x\u1eed l\u00fd d\u1eef li\u1ec7u v\u00e0 chuy\u1ec3n ch\u00fang th\u00e0nh d\u1ea1ng m\u00e0 m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 t\u00ednh to\u00e1n.<\/p>\n<p style=\"text-align: justify;\">Sau \u0111\u00f3, m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng. Trong qu\u00e1 tr\u00ecnh training, framework th\u1ef1c hi\u1ec7n h\u00e0ng lo\u1ea1t ph\u00e9p t\u00ednh \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh c\u00e1c tham s\u1ed1 c\u1ee7a model.<\/p>\n<p style=\"text-align: justify;\">N\u1ebfu s\u1eed d\u1ee5ng GPU, nh\u1eefng ph\u00e9p t\u00ednh l\u1edbn c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c \u0111\u00e1ng k\u1ec3. Framework s\u1ebd giao ti\u1ebfp v\u1edbi c\u00e1c th\u01b0 vi\u1ec7n v\u00e0 n\u1ec1n t\u1ea3ng t\u0103ng t\u1ed1c ph\u00f9 h\u1ee3p \u0111\u1ec3 s\u1eed d\u1ee5ng t\u00e0i nguy\u00ean GPU.<\/p>\n<h3 style=\"text-align: justify;\"><strong>Framework AI v\u00e0 GPU c\u00f3 m\u1ed1i quan h\u1ec7 r\u1ea5t ch\u1eb7t ch\u1ebd<\/strong>.<\/h3>\n<p style=\"text-align: justify;\">Tuy nhi\u00ean, hai kh\u00e1i ni\u1ec7m n\u00e0y kh\u00f4ng gi\u1ed1ng nhau. GPU l\u00e0 ph\u1ea7n c\u1ee9ng th\u1ef1c hi\u1ec7n c\u00e1c ph\u00e9p t\u00ednh song song. Framework AI l\u00e0 ph\u1ea7n m\u1ec1m gi\u00fap x\u00e2y d\u1ef1ng v\u00e0 \u0111i\u1ec1u khi\u1ec3n qu\u00e1 tr\u00ecnh t\u00ednh to\u00e1n c\u1ee7a m\u00f4 h\u00ecnh.<\/p>\n<p style=\"text-align: justify;\">Trong h\u1ec7 sinh th\u00e1i NVIDIA, <strong>CUDA<\/strong> l\u1ea1i l\u00e0 m\u1ed9t l\u1edbp kh\u00e1c. CUDA cung c\u1ea5p m\u00f4i tr\u01b0\u1eddng ph\u00e1t tri\u1ec3n, runtime, compiler v\u00e0 c\u00e1c th\u01b0 vi\u1ec7n \u0111\u1ec3 x\u00e2y d\u1ef1ng \u1ee9ng d\u1ee5ng t\u0103ng t\u1ed1c b\u1eb1ng GPU NVIDIA. T\u00e0i li\u1ec7u CUDA hi\u1ec7n t\u1ea1i c\u1ee7a NVIDIA \u0111\u00e3 c\u1eadp nh\u1eadt \u0111\u1ebfn d\u00f2ng <strong>CUDA 13.4<\/strong>, bao g\u1ed3m c\u00e1c c\u1ea3i ti\u1ebfn v\u1ec1 n\u1ec1n t\u1ea3ng v\u00e0 th\u01b0 vi\u1ec7n.<\/p>\n<p style=\"text-align: justify;\">C\u00f3 th\u1ec3 h\u00ecnh dung \u0111\u01a1n gi\u1ea3n:<\/p>\n<p style=\"text-align: justify;\"><strong>GPU = ph\u1ea7n c\u1ee9ng<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>CUDA = n\u1ec1n t\u1ea3ng t\u0103ng t\u1ed1c GPU<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>AI framework = c\u00f4ng c\u1ee5 x\u00e2y d\u1ef1ng v\u00e0 ch\u1ea1y workload AI<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>Model = m\u00f4 h\u00ecnh AI c\u1ee5 th\u1ec3<\/strong><\/p>\n<p style=\"text-align: justify;\">B\u1ed1n th\u00e0nh ph\u1ea7n n\u00e0y ph\u1ed1i h\u1ee3p v\u1edbi nhau \u0111\u1ec3 t\u1ea1o th\u00e0nh m\u1ed9t h\u1ec7 th\u1ed1ng AI ho\u00e0n ch\u1ec9nh.<\/p>\n<p><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/cuda-la-gi\/\">CUDA l\u00e0 g\u00ec? T\u1ea5t c\u1ea3 nh\u1eefng g\u00ec b\u1ea1n c\u1ea7n bi\u1ebft v\u1ec1 CUDA<\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\">C\u00e1c nh\u00f3m framework AI ph\u1ed5 bi\u1ebfn hi\u1ec7n nay<\/h2>\n<p style=\"text-align: justify;\">Kh\u00f4ng ph\u1ea3i c\u00f4ng c\u1ee5 n\u00e0o \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 \u201cframework AI\u201d c\u0169ng \u0111\u1ea3m nh\u1eadn c\u00f9ng m\u1ed9t nhi\u1ec7m v\u1ee5. H\u1ec7 sinh th\u00e1i hi\u1ec7n nay \u0111\u00e3 ph\u00e1t tri\u1ec3n th\u00e0nh nhi\u1ec1u l\u1edbp.<\/p>\n<h3 style=\"text-align: justify;\">Framework deep learning c\u1ed1t l\u00f5i<\/h3>\n<p style=\"text-align: justify;\">\u0110\u00e2y l\u00e0 nh\u00f3m g\u1ea7n nh\u1ea5t v\u1edbi kh\u00e1i ni\u1ec7m AI framework truy\u1ec1n th\u1ed1ng. Ba c\u00e1i t\u00ean quan tr\u1ecdng l\u00e0 <strong>PyTorch, TensorFlow v\u00e0 JAX<\/strong>.<\/p>\n<p style=\"text-align: justify;\"><strong>PyTorch<\/strong> l\u00e0 framework deep learning ph\u1ed5 bi\u1ebfn cho nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n AI. Framework n\u00e0y h\u1ed7 tr\u1ee3 tensor, automatic differentiation, GPU, distributed training v\u00e0 nhi\u1ec1u c\u00f4ng c\u1ee5 t\u1ed1i \u01b0u h\u00f3a. PyTorch ti\u1ebfp t\u1ee5c \u0111\u01b0\u1ee3c c\u1eadp nh\u1eadt m\u1ea1nh trong n\u0103m 2026. <strong>PyTorch 2.14<\/strong> \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh v\u00e0o th\u00e1ng 9\/2026, v\u1edbi c\u00e1c c\u1ea3i ti\u1ebfn li\u00ean quan \u0111\u1ebfn compiler, kernel, distributed communication v\u00e0 fault tolerance. V\u1edbi ng\u01b0\u1eddi m\u1edbi h\u1ecdc AI, PyTorch th\u01b0\u1eddng l\u00e0 m\u1ed9t trong nh\u1eefng framework quan tr\u1ecdng nh\u1ea5t c\u1ea7n bi\u1ebft.<\/p>\n<p style=\"text-align: justify;\"><strong>TensorFlow<\/strong> l\u00e0 framework machine learning v\u00e0 deep learning do Google ph\u00e1t tri\u1ec3n. Framework \u0111\u00f3 cung c\u1ea5p h\u1ec7 sinh th\u00e1i cho x\u00e2y d\u1ef1ng, hu\u1ea5n luy\u1ec7n v\u00e0 tri\u1ec3n khai m\u00f4 h\u00ecnh AI tr\u00ean nhi\u1ec1u m\u00f4i tr\u01b0\u1eddng. TensorFlow v\u1eabn \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong nhi\u1ec1u h\u1ec7 th\u1ed1ng machine learning production, d\u00f9 h\u1ec7 sinh th\u00e1i AI hi\u1ec7n nay c\u00f3 s\u1ef1 d\u1ecbch chuy\u1ec3n \u0111\u00e1ng k\u1ec3 sang PyTorch trong nhi\u1ec1u workload deep learning v\u00e0 generative AI.<\/p>\n<p style=\"text-align: justify;\"><strong>JAX<\/strong> c\u00f3 c\u00e1ch ti\u1ebfp c\u1eadn kh\u00e1c. \u0110\u00e2y l\u00e0 th\u01b0 vi\u1ec7n t\u00ednh to\u00e1n m\u1ea3ng hi\u1ec7u n\u0103ng cao, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho numerical computing v\u00e0 machine learning quy m\u00f4 l\u1edbn. JAX cung c\u1ea5p c\u00e1c ph\u00e9p bi\u1ebfn \u0111\u1ed5i nh\u01b0 automatic differentiation, JIT compilation, batching v\u00e0 parallelization. Framework c\u00f3 th\u1ec3 ch\u1ea1y tr\u00ean CPU, GPU v\u00e0 TPU. JAX \u0111\u1eb7c bi\u1ec7t \u0111\u00e1ng ch\u00fa \u00fd trong c\u00e1c workload y\u00eau c\u1ea7u t\u00ednh to\u00e1n hi\u1ec7u n\u0103ng cao v\u00e0 nghi\u00ean c\u1ee9u AI quy m\u00f4 l\u1edbn.<\/p>\n<h3 style=\"text-align: justify;\">Framework API v\u00e0 c\u00f4ng c\u1ee5 ph\u00e1t tri\u1ec3n model<\/h3>\n<p style=\"text-align: justify;\"><strong>Keras<\/strong> l\u00e0 m\u1ed9t v\u00ed d\u1ee5 ti\u00eau bi\u1ec3u.<\/p>\n<p style=\"text-align: justify;\">Keras 3 hi\u1ec7n kh\u00f4ng c\u00f2n ch\u1ec9 g\u1eafn v\u1edbi TensorFlow. \u0110\u00e2y l\u00e0 API deep learning \u0111a backend, c\u00f3 th\u1ec3 ch\u1ea1y tr\u00ean <strong>JAX, TensorFlow ho\u1eb7c PyTorch<\/strong>. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p l\u1eadp tr\u00ecnh vi\u00ean s\u1eed d\u1ee5ng API Keras nh\u01b0ng l\u1ef1a ch\u1ecdn backend ph\u00f9 h\u1ee3p v\u1edbi workload.<\/p>\n<p style=\"text-align: justify;\">\u0110\u00e2y l\u00e0 \u0111i\u1ec3m quan tr\u1ecdng v\u1edbi ng\u01b0\u1eddi m\u1edbi.<\/p>\n<p style=\"text-align: justify;\">Kh\u00f4ng n\u00ean hi\u1ec3u:<\/p>\n<p style=\"text-align: justify;\"><strong>Keras = TensorFlow<\/strong><\/p>\n<p style=\"text-align: justify;\">M\u00e0 n\u00ean hi\u1ec3u:<\/p>\n<p style=\"text-align: justify;\"><strong>Keras = API deep learning c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng tr\u00ean nhi\u1ec1u backend.<\/strong><\/p>\n<h3 style=\"text-align: justify;\">Model ecosystem<\/h3>\n<p style=\"text-align: justify;\"><strong>Hugging Face Transformers<\/strong> th\u01b0\u1eddng \u0111\u01b0\u1ee3c nh\u1eafc \u0111\u1ebfn c\u00f9ng nh\u00f3m AI framework. Tuy nhi\u00ean, x\u00e9t v\u1ec1 vai tr\u00f2, Transformers ph\u00f9 h\u1ee3p h\u01a1n v\u1edbi kh\u00e1i ni\u1ec7m <strong>th\u01b0 vi\u1ec7n v\u00e0 h\u1ec7 sinh th\u00e1i model<\/strong>.<\/p>\n<p style=\"text-align: justify;\">C\u00f4ng c\u1ee5 n\u00e0y cung c\u1ea5p nhi\u1ec1u model d\u1ef1ng s\u1eb5n cho c\u00e1c b\u00e0i to\u00e1n nh\u01b0 ng\u00f4n ng\u1eef, th\u1ecb gi\u00e1c m\u00e1y t\u00ednh, \u00e2m thanh v\u00e0 multimodal AI.<\/p>\n<p style=\"text-align: justify;\">\u0110i\u1ec1u n\u00e0y gi\u00fap ng\u01b0\u1eddi d\u00f9ng kh\u00f4ng ph\u1ea3i x\u00e2y m\u1ed9t m\u00f4 h\u00ecnh LLM ho\u00e0n to\u00e0n t\u1eeb \u0111\u1ea7u. H\u1ecd c\u00f3 th\u1ec3 t\u1ea3i model c\u00f3 s\u1eb5n, ch\u1ea1y inference, fine-tuning ho\u1eb7c t\u00edch h\u1ee3p v\u00e0o \u1ee9ng d\u1ee5ng.<\/p>\n<p style=\"text-align: justify;\">V\u1edbi generative AI, \u0111\u00e2y l\u00e0 m\u1ed9t l\u1edbp r\u1ea5t quan tr\u1ecdng trong AI stack.<\/p>\n<h3 style=\"text-align: justify;\">Framework t\u1ed1i \u01b0u training v\u00e0 distributed AI<\/h3>\n<p style=\"text-align: justify;\">Khi model tr\u1edf n\u00ean l\u1edbn, m\u1ed9t GPU c\u00f3 th\u1ec3 kh\u00f4ng \u0111\u1ee7.<\/p>\n<p style=\"text-align: justify;\">L\u00fac n\u00e0y, c\u00e1c c\u00f4ng c\u1ee5 nh\u01b0 <strong>DeepSpeed<\/strong> v\u00e0 <strong>Ray<\/strong> tr\u1edf n\u00ean h\u1eefu \u00edch.<\/p>\n<p style=\"text-align: justify;\">DeepSpeed l\u00e0 m\u1ed9t framework t\u1ed1i \u01b0u h\u00f3a cho c\u00e1c workload deep learning quy m\u00f4 l\u1edbn. N\u00f3 ho\u1ea1t \u0111\u1ed9ng nh\u01b0 m\u1ed9t l\u1edbp h\u1ed7 tr\u1ee3 tr\u00ean PyTorch v\u00e0 cung c\u1ea5p c\u00e1c k\u1ef9 thu\u1eadt nh\u01b0 distributed training, mixed precision, gradient accumulation, checkpointing v\u00e0 t\u1ed1i \u01b0u b\u1ed9 nh\u1edb.<\/p>\n<p style=\"text-align: justify;\">DeepSpeed c\u0169ng h\u1ed7 tr\u1ee3 inference cho c\u00e1c model Transformer. V\u1edbi m\u1ed9t s\u1ed1 model t\u01b0\u01a1ng th\u00edch, h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 ph\u00e2n chia model tr\u00ean nhi\u1ec1u GPU v\u00e0 qu\u1ea3n l\u00fd giao ti\u1ebfp gi\u1eefa c\u00e1c GPU.<\/p>\n<p style=\"text-align: justify;\">Ray l\u1ea1i t\u1eadp trung v\u00e0o distributed computing. Ray cung c\u1ea5p c\u00e1c c\u00f4ng c\u1ee5 \u0111\u1ec3 scale workload AI v\u00e0 Python t\u1eeb m\u1ed9t m\u00e1y t\u00ednh l\u00ean cluster nhi\u1ec1u m\u00e1y. H\u1ec7 sinh th\u00e1i Ray c\u00f3 c\u00e1c th\u00e0nh ph\u1ea7n cho data processing, training, hyperparameter tuning v\u00e0 model serving.<\/p>\n<p><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/ai-inference-la-gi-cach-trien-khai-suy-luan-ai\/\">Truy c\u1eadp b\u1ecb t\u1eeb ch\u1ed1i \u00b7 HQG Defense<\/a><\/strong><\/p>\n<h3 style=\"text-align: justify;\">Framework generative AI<\/h3>\n<p style=\"text-align: justify;\"><strong>NVIDIA NeMo Framework<\/strong> l\u00e0 m\u1ed9t v\u00ed d\u1ee5 n\u1ed5i b\u1eadt trong nh\u00f3m n\u00e0y.<\/p>\n<p style=\"text-align: justify;\">NeMo \u0111\u01b0\u1ee3c NVIDIA ph\u00e1t tri\u1ec3n \u0111\u1ec3 h\u1ed7 tr\u1ee3 x\u00e2y d\u1ef1ng, t\u00f9y ch\u1ec9nh v\u00e0 tri\u1ec3n khai generative AI, bao g\u1ed3m LLM, multimodal model v\u00e0 speech AI. Framework cung c\u1ea5p nhi\u1ec1u t\u00ednh n\u0103ng ph\u1ee5c v\u1ee5 training quy m\u00f4 l\u1edbn nh\u01b0 mixed precision, parallelism, distributed optimizer, FSDP, Flash Attention v\u00e0 quantization.<\/p>\n<p style=\"text-align: justify;\">NeMo c\u0169ng \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 ho\u1ea1t \u0111\u1ed9ng trong m\u00f4i tr\u01b0\u1eddng on-premises, data center ho\u1eb7c cloud.<\/p>\n<h3 style=\"text-align: justify;\">Framework v\u00e0 engine cho inference<\/h3>\n<p style=\"text-align: justify;\">Sau khi model \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n, model c\u1ea7n \u0111\u01b0\u1ee3c \u0111\u01b0a v\u00e0o s\u1eed d\u1ee5ng.<\/p>\n<p style=\"text-align: justify;\">Qu\u00e1 tr\u00ecnh model nh\u1eadn input v\u00e0 t\u1ea1o output \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 <strong>inference<\/strong>.<\/p>\n<p style=\"text-align: justify;\">V\u1edbi LLM, <strong>vLLM<\/strong> l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 \u0111\u00e1ng ch\u00fa \u00fd. vLLM t\u1eadp trung v\u00e0o inference v\u00e0 serving LLM, h\u1ed7 tr\u1ee3 nhi\u1ec1u n\u1ec1n t\u1ea3ng ph\u1ea7n c\u1ee9ng nh\u01b0 NVIDIA CUDA, AMD ROCm, Intel XPU, Apple Silicon v\u00e0 CPU.<\/p>\n<p style=\"text-align: justify;\">vLLM c\u0169ng h\u1ed7 tr\u1ee3 nhi\u1ec1u GPU NVIDIA ph\u1ed5 bi\u1ebfn cho AI, t\u1eeb T4, RTX 20 series \u0111\u1ebfn A100, L4, H100 v\u00e0 B200, t\u00f9y y\u00eau c\u1ea7u phi\u00ean b\u1ea3n v\u00e0 c\u1ea5u h\u00ecnh.<\/p>\n<p style=\"text-align: justify;\">\u0110i\u1ec3m n\u00e0y cho th\u1ea5y m\u1ed9t workload AI kh\u00f4ng ch\u1ec9 c\u1ea7n \u201cc\u00f3 GPU\u201d.<\/p>\n<p style=\"text-align: justify;\"><strong>GPU c\u1ea7n t\u01b0\u01a1ng th\u00edch v\u1edbi framework, phi\u00ean b\u1ea3n ph\u1ea7n m\u1ec1m, model v\u00e0 workload c\u1ee5 th\u1ec3.<\/strong><\/p>\n<p><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/ai-inference-la-gi-cach-trien-khai-suy-luan-ai\/\">AI Inference l\u00e0 g\u00ec? C\u00e1ch tri\u1ec3n khai Suy lu\u1eadn AI<\/a><\/strong><\/p>\n<p><a href=\"https:\/\/gpu.vnso.vn\/\"><img decoding=\"async\" class=\"aligncenter size-full wp-image-24771\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/PyTorch-TensorFlow-JAX-va-cac-framework-AI-khac-khac-nhau-the-nao.jpg\" alt=\"PyTorch, TensorFlow, JAX v\u00e0 c\u00e1c framework AI kh\u00e1c kh\u00e1c nhau th\u1ebf n\u00e0o\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/PyTorch-TensorFlow-JAX-va-cac-framework-AI-khac-khac-nhau-the-nao.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/PyTorch-TensorFlow-JAX-va-cac-framework-AI-khac-khac-nhau-the-nao-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/PyTorch-TensorFlow-JAX-va-cac-framework-AI-khac-khac-nhau-the-nao-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/PyTorch-TensorFlow-JAX-va-cac-framework-AI-khac-khac-nhau-the-nao-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/PyTorch-TensorFlow-JAX-va-cac-framework-AI-khac-khac-nhau-the-nao-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<h2 style=\"text-align: justify;\">PyTorch, TensorFlow, JAX v\u00e0 c\u00e1c framework AI kh\u00e1c kh\u00e1c nhau th\u1ebf n\u00e0o?<\/h2>\n<p style=\"text-align: justify;\">V\u1edbi ng\u01b0\u1eddi m\u1edbi, kh\u00f4ng c\u1ea7n ghi nh\u1edb t\u1ea5t c\u1ea3 framework. Quan tr\u1ecdng h\u01a1n l\u00e0 hi\u1ec3u m\u1ed7i c\u00f4ng c\u1ee5 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 g\u00ec.<\/p>\n<table>\n<thead>\n<tr>\n<th>Framework \/ c\u00f4ng c\u1ee5<\/th>\n<th>Vai tr\u00f2 ch\u00ednh<\/th>\n<th>Workload ti\u00eau bi\u1ec3u<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>PyTorch<\/strong><\/td>\n<td>Deep learning framework<\/td>\n<td>Training, fine-tuning, research, AI production<\/td>\n<\/tr>\n<tr>\n<td><strong>TensorFlow<\/strong><\/td>\n<td>Machine learning &amp; deep learning<\/td>\n<td>Training, production ML, deployment<\/td>\n<\/tr>\n<tr>\n<td><strong>JAX<\/strong><\/td>\n<td>High-performance numerical computing<\/td>\n<td>Research, large-scale ML, accelerator workloads<\/td>\n<\/tr>\n<tr>\n<td><strong>Keras<\/strong><\/td>\n<td>Deep learning API \u0111a backend<\/td>\n<td>X\u00e2y d\u1ef1ng v\u00e0 hu\u1ea5n luy\u1ec7n model<\/td>\n<\/tr>\n<tr>\n<td><strong>Hugging Face Transformers<\/strong><\/td>\n<td>Model ecosystem<\/td>\n<td>LLM, NLP, vision, audio, multimodal<\/td>\n<\/tr>\n<tr>\n<td><strong>DeepSpeed<\/strong><\/td>\n<td>Training\/inference optimization<\/td>\n<td>Large model, multi-GPU, distributed training<\/td>\n<\/tr>\n<tr>\n<td><strong>Ray<\/strong><\/td>\n<td>Distributed computing<\/td>\n<td>Training, inference, data, serving<\/td>\n<\/tr>\n<tr>\n<td><strong>NVIDIA NeMo<\/strong><\/td>\n<td>Generative AI framework<\/td>\n<td>LLM, multimodal, speech AI<\/td>\n<\/tr>\n<tr>\n<td><strong>vLLM<\/strong><\/td>\n<td>LLM inference\/serving<\/td>\n<td>Tri\u1ec3n khai LLM, API, production inference<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: justify;\">\u0110i\u1ec3m c\u1ea7n l\u01b0u \u00fd l\u00e0 c\u00e1c c\u00f4ng c\u1ee5 n\u00e0y <strong>c\u00f3 th\u1ec3 k\u1ebft h\u1ee3p v\u1edbi nhau<\/strong>.<\/p>\n<p style=\"text-align: justify;\">M\u1ed9t h\u1ec7 th\u1ed1ng th\u1ef1c t\u1ebf kh\u00f4ng nh\u1ea5t thi\u1ebft ch\u1ec9 s\u1eed d\u1ee5ng m\u1ed9t framework.<\/p>\n<p style=\"text-align: justify;\">V\u00ed d\u1ee5:<\/p>\n<p style=\"text-align: justify;\"><strong>PyTorch + Hugging Face + DeepSpeed<\/strong><\/p>\n<p style=\"text-align: justify;\">c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho qu\u00e1 tr\u00ecnh training ho\u1eb7c fine-tuning model l\u1edbn.<\/p>\n<p style=\"text-align: justify;\">M\u1ed9t h\u1ec7 th\u1ed1ng kh\u00e1c c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng:<\/p>\n<p style=\"text-align: justify;\"><strong>Hugging Face + vLLM<\/strong><\/p>\n<p style=\"text-align: justify;\">\u0111\u1ec3 tri\u1ec3n khai model v\u00e0 ph\u1ee5c v\u1ee5 y\u00eau c\u1ea7u inference.<\/p>\n<p style=\"text-align: justify;\">Trong m\u00f4i tr\u01b0\u1eddng distributed, Ray c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 \u0111i\u1ec1u ph\u1ed1i workload tr\u00ean nhi\u1ec1u m\u00e1y v\u00e0 GPU. Ray Serve LLM hi\u1ec7n h\u1ed7 tr\u1ee3 deployment nhi\u1ec1u node, nhi\u1ec1u model, autoscaling v\u00e0 c\u00e1c chi\u1ebfn l\u01b0\u1ee3c parallelism nh\u01b0 tensor, pipeline v\u00e0 expert parallelism.<\/p>\n<p style=\"text-align: justify;\">V\u00ec v\u1eady, kh\u00f4ng n\u00ean \u0111\u1eb7t c\u00e2u h\u1ecfi \u201cframework AI n\u00e0o t\u1ed1t nh\u1ea5t?\u201d theo c\u00e1ch tuy\u1ec7t \u0111\u1ed1i.<\/p>\n<p style=\"text-align: justify;\">C\u00e2u h\u1ecfi ph\u00f9 h\u1ee3p h\u01a1n l\u00e0:<\/p>\n<p style=\"text-align: justify;\"><strong>Framework n\u00e0o ph\u00f9 h\u1ee3p v\u1edbi workload AI \u0111ang c\u1ea7n th\u1ef1c hi\u1ec7n?<\/strong><\/p>\n<h2 style=\"text-align: justify;\">Framework AI c\u1ea7n GPU nh\u01b0 th\u1ebf n\u00e0o? C\u00e1ch ch\u1ecdn h\u1ea1 t\u1ea7ng ph\u00f9 h\u1ee3p<\/h2>\n<p style=\"text-align: justify;\">Framework AI c\u00f3 th\u1ec3 ch\u1ea1y tr\u00ean CPU. Tuy nhi\u00ean, nhi\u1ec1u workload AI hi\u1ec7n \u0111\u1ea1i c\u1ea7n GPU \u0111\u1ec3 \u0111\u1ea1t hi\u1ec7u n\u0103ng ph\u00f9 h\u1ee3p.<\/p>\n<p style=\"text-align: justify;\">\u0110\u1eb7c bi\u1ec7t l\u00e0:<\/p>\n<p style=\"text-align: justify;\"><strong>Training deep learning<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>Fine-tuning LLM<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>Generative AI<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>Computer Vision<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>Multimodal AI<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>LLM inference<\/strong><\/p>\n<p style=\"text-align: justify;\">C\u00e1c workload n\u00e0y th\u01b0\u1eddng th\u1ef1c hi\u1ec7n l\u01b0\u1ee3ng l\u1edbn ph\u00e9p t\u00ednh song song. GPU c\u00f3 ki\u1ebfn tr\u00fac ph\u00f9 h\u1ee3p v\u1edbi d\u1ea1ng t\u00ednh to\u00e1n n\u00e0y.<\/p>\n<p style=\"text-align: justify;\">Tuy nhi\u00ean, ch\u1ecdn GPU kh\u00f4ng ch\u1ec9 d\u1ef1a tr\u00ean t\u00ean GPU.<\/p>\n<p style=\"text-align: justify;\">C\u00f3 \u00edt nh\u1ea5t b\u1ed1n y\u1ebfu t\u1ed1 c\u1ea7n xem x\u00e9t.<\/p>\n<h3 style=\"text-align: justify;\">1. VRAM<\/h3>\n<p style=\"text-align: justify;\"><strong>VRAM<\/strong> l\u00e0 b\u1ed9 nh\u1edb tr\u00ean GPU.<\/p>\n<p style=\"text-align: justify;\">Model c\u00e0ng l\u1edbn, batch size c\u00e0ng cao ho\u1eb7c context c\u00e0ng d\u00e0i th\u00ec nhu c\u1ea7u b\u1ed9 nh\u1edb c\u00f3 th\u1ec3 c\u00e0ng l\u1edbn.<\/p>\n<p style=\"text-align: justify;\">N\u1ebfu VRAM kh\u00f4ng \u0111\u1ee7, model c\u00f3 th\u1ec3 kh\u00f4ng ch\u1ea1y \u0111\u01b0\u1ee3c ho\u1eb7c ph\u1ea3i s\u1eed d\u1ee5ng c\u00e1c k\u1ef9 thu\u1eadt nh\u01b0 quantization, offloading ho\u1eb7c ph\u00e2n chia model tr\u00ean nhi\u1ec1u GPU.<\/p>\n<h3 style=\"text-align: justify;\">2. Kh\u1ea3 n\u0103ng t\u01b0\u01a1ng th\u00edch framework<\/h3>\n<p style=\"text-align: justify;\">Kh\u00f4ng ph\u1ea3i m\u1ecdi framework v\u00e0 phi\u00ean b\u1ea3n framework \u0111\u1ec1u h\u1ed7 tr\u1ee3 m\u1ecdi GPU theo c\u00f9ng m\u1ed9t c\u00e1ch.<\/p>\n<p style=\"text-align: justify;\">V\u00ed d\u1ee5, JAX hi\u1ec7n cung c\u1ea5p c\u00e1c t\u00f9y ch\u1ecdn c\u00e0i \u0111\u1eb7t ri\u00eang cho NVIDIA GPU v\u1edbi CUDA 13, AMD GPU v\u1edbi ROCm v\u00e0 TPU.<\/p>\n<p style=\"text-align: justify;\">vLLM c\u0169ng c\u00f3 y\u00eau c\u1ea7u ph\u1ea7n c\u1ee9ng v\u00e0 ph\u1ea7n m\u1ec1m ri\u00eang theo t\u1eebng backend.<\/p>\n<p style=\"text-align: justify;\">Do \u0111\u00f3, tr\u01b0\u1edbc khi thu\u00ea GPU, n\u00ean x\u00e1c \u0111\u1ecbnh:<\/p>\n<p style=\"text-align: justify;\"><strong>Model \u2192 Framework \u2192 Version \u2192 CUDA\/ROCm \u2192 GPU \u2192 VRAM<\/strong><\/p>\n<p style=\"text-align: justify;\">C\u00e1ch ki\u1ec3m tra n\u00e0y gi\u00fap h\u1ea1n ch\u1ebf t\u00ecnh tr\u1ea1ng thu\u00ea GPU nh\u01b0ng g\u1eb7p l\u1ed7i m\u00f4i tr\u01b0\u1eddng ho\u1eb7c kh\u00f4ng khai th\u00e1c \u0111\u01b0\u1ee3c h\u1ebft hi\u1ec7u n\u0103ng.<\/p>\n<h3 style=\"text-align: justify;\">3. S\u1ed1 l\u01b0\u1ee3ng GPU<\/h3>\n<p style=\"text-align: justify;\">M\u1ed9t model nh\u1ecf c\u00f3 th\u1ec3 ch\u1ea1y tr\u00ean m\u1ed9t GPU.<\/p>\n<p style=\"text-align: justify;\">Nh\u01b0ng v\u1edbi model l\u1edbn, m\u1ed9t GPU c\u00f3 th\u1ec3 kh\u00f4ng \u0111\u1ee7.<\/p>\n<p style=\"text-align: justify;\">Khi \u0111\u00f3, h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 c\u1ea7n <strong>multi-GPU<\/strong> ho\u1eb7c <strong>multi-node<\/strong>.<\/p>\n<p style=\"text-align: justify;\">DeepSpeed h\u1ed7 tr\u1ee3 chuy\u1ec3n t\u1eeb single-GPU sang multi-GPU v\u00e0 multi-node cho c\u00e1c workload training ph\u00f9 h\u1ee3p.<\/p>\n<p style=\"text-align: justify;\">Ray c\u0169ng h\u1ed7 tr\u1ee3 ph\u00e2n ph\u1ed1i workload qua cluster. Trong tr\u01b0\u1eddng h\u1ee3p inference, Ray Serve LLM c\u00f3 th\u1ec3 ph\u00e2n chia model tr\u00ean nhi\u1ec1u GPU v\u00e0 node khi t\u00e0i nguy\u00ean c\u1ee7a m\u1ed9t m\u00e1y kh\u00f4ng \u0111\u1ee7.<\/p>\n<h3 style=\"text-align: justify;\">4. M\u00f4i tr\u01b0\u1eddng AI c\u00f3 s\u1eb5n<\/h3>\n<p style=\"text-align: justify;\">M\u1ed9t GPU m\u1ea1nh nh\u01b0ng m\u00f4i tr\u01b0\u1eddng ph\u1ea7n m\u1ec1m ch\u01b0a \u0111\u01b0\u1ee3c chu\u1ea9n b\u1ecb c\u0169ng c\u00f3 th\u1ec3 khi\u1ebfn qu\u00e1 tr\u00ecnh b\u1eaft \u0111\u1ea7u AI b\u1ecb k\u00e9o d\u00e0i.<\/p>\n<p style=\"text-align: justify;\">M\u1ed9t m\u00f4i tr\u01b0\u1eddng Cloud GPU ph\u00f9 h\u1ee3p c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 s\u1eb5n c\u00e1c th\u00e0nh ph\u1ea7n c\u1ea7n thi\u1ebft nh\u01b0:<\/p>\n<p style=\"text-align: justify;\"><strong>CUDA \u2192 cuDNN \u2192 Python \u2192 PyTorch \u2192 TensorFlow \u2192 OpenCV \u2192 c\u00e1c th\u01b0 vi\u1ec7n AI<\/strong><\/p>\n<p style=\"text-align: justify;\">T\u00f9y nh\u00e0 cung c\u1ea5p, ng\u01b0\u1eddi d\u00f9ng c\u00f2n c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 c\u00e1c model ho\u1eb7c c\u00f4ng c\u1ee5 ph\u1ed5 bi\u1ebfn.<\/p>\n<p style=\"text-align: justify;\">\u0110i\u1ec1u n\u00e0y \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch v\u1edbi ng\u01b0\u1eddi m\u1edbi.<\/p>\n<p style=\"text-align: justify;\">Thay v\u00ec m\u1ea5t nhi\u1ec1u th\u1eddi gian thi\u1ebft l\u1eadp m\u00f4i tr\u01b0\u1eddng, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 t\u1eadp trung v\u00e0o code, d\u1eef li\u1ec7u v\u00e0 model.<\/p>\n<p style=\"text-align: justify;\">V\u1edbi Cloud GPU, ng\u01b0\u1eddi d\u00f9ng c\u0169ng kh\u00f4ng nh\u1ea5t thi\u1ebft ph\u1ea3i \u0111\u1ea7u t\u01b0 m\u1ed9t m\u00e1y GPU v\u1eadt l\u00fd ngay t\u1eeb \u0111\u1ea7u. T\u00e0i nguy\u00ean c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c thu\u00ea theo nhu c\u1ea7u. Khi workload t\u0103ng, c\u00f3 th\u1ec3 c\u00e2n nh\u1eafc c\u1ea5u h\u00ecnh GPU cao h\u01a1n ho\u1eb7c nhi\u1ec1u GPU.<\/p>\n<p style=\"text-align: justify;\">\u0110\u00e2y l\u00e0 l\u00fd do <strong>framework AI v\u00e0 Cloud GPU c\u00f3 m\u1ed1i li\u00ean h\u1ec7 tr\u1ef1c ti\u1ebfp<\/strong>.<\/p>\n<p style=\"text-align: justify;\">Framework quy\u1ebft \u0111\u1ecbnh c\u00e1ch workload \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng.<\/p>\n<p style=\"text-align: justify;\">Model quy\u1ebft \u0111\u1ecbnh nhu c\u1ea7u t\u00ednh to\u00e1n.<\/p>\n<p style=\"text-align: justify;\">VRAM v\u00e0 GPU quy\u1ebft \u0111\u1ecbnh kh\u1ea3 n\u0103ng ch\u1ea1y workload.<\/p>\n<p style=\"text-align: justify;\">CUDA ho\u1eb7c n\u1ec1n t\u1ea3ng t\u01b0\u01a1ng \u1ee9ng gi\u00fap framework khai th\u00e1c accelerator.<\/p>\n<p style=\"text-align: justify;\">Cloud GPU cung c\u1ea5p t\u00e0i nguy\u00ean \u0111\u1ec3 to\u00e0n b\u1ed9 h\u1ec7 th\u1ed1ng ho\u1ea1t \u0111\u1ed9ng.<\/p>\n<h2 style=\"text-align: justify;\">Thu\u00ea Cloud GPU VNSO cho c\u00e1c workload AI v\u1edbi m\u00f4i tr\u01b0\u1eddng s\u1eb5n s\u00e0ng<\/h2>\n<p style=\"text-align: justify;\">\u0110\u1ec3 tri\u1ec3n khai AI, GPU ch\u1ec9 l\u00e0 m\u1ed9t ph\u1ea7n c\u1ee7a b\u00e0i to\u00e1n. Doanh nghi\u1ec7p v\u00e0 \u0111\u1ed9i ng\u0169 ph\u00e1t tri\u1ec3n c\u00f2n c\u1ea7n quan t\u00e2m \u0111\u1ebfn <strong>framework, CUDA, model, VRAM, m\u00f4i tr\u01b0\u1eddng Python v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng t\u00e0i nguy\u00ean<\/strong>.<\/p>\n<p style=\"text-align: justify;\">VNSO cung c\u1ea5p d\u1ecbch v\u1ee5 <strong>Cloud GPU, cho ph\u00e9p thu\u00ea theo gi\u1edd, theo th\u00e1ng,<\/strong>\u00a0d\u00e0nh cho c\u00e1c workload AI nh\u01b0 training, inference, fine-tuning, computer vision v\u00e0 generative AI.<\/p>\n<p style=\"text-align: justify;\">Ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 l\u1ef1a ch\u1ecdn nhi\u1ec1u c\u1ea5u h\u00ecnh GPU theo nhu c\u1ea7u. VNSO c\u0169ng cung c\u1ea5p m\u00f4i tr\u01b0\u1eddng AI v\u1edbi c\u00e1c th\u00e0nh ph\u1ea7n ph\u1ed5 bi\u1ebfn nh\u01b0 <strong>CUDA, cuDNN, Python, PyTorch, TensorFlow v\u00e0 OpenCV<\/strong>, gi\u00fap r\u00fat ng\u1eafn th\u1eddi gian chu\u1ea9n b\u1ecb m\u00f4i tr\u01b0\u1eddng.<\/p>\n<p style=\"text-align: justify;\">V\u1edbi nh\u1eefng d\u1ef1 \u00e1n c\u1ea7n th\u1eed nghi\u1ec7m tr\u01b0\u1edbc, Cloud GPU gi\u00fap \u0111\u1ed9i ng\u0169 AI ti\u1ebfp c\u1eadn t\u00e0i nguy\u00ean GPU m\u00e0 kh\u00f4ng ph\u1ea3i \u0111\u1ea7u t\u01b0 ngay m\u1ed9t h\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7 GPU v\u1eadt l\u00fd. T\u1eeb h\u1ecdc t\u1eadp, ph\u00e1t tri\u1ec3n prototype \u0111\u1ebfn tri\u1ec3n khai workload AI th\u1ef1c t\u1ebf, c\u1ea5u h\u00ecnh GPU c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c l\u1ef1a ch\u1ecdn theo model v\u00e0 nhu c\u1ea7u s\u1eed d\u1ee5ng.<\/p>\n<p style=\"text-align: justify;\"><strong>Framework AI thay \u0111\u1ed5i r\u1ea5t nhanh. GPU v\u00e0 h\u1ea1 t\u1ea7ng AI c\u0169ng c\u1ea7n theo k\u1ecbp. <\/strong>N\u1ebfu b\u1ea1n \u0111ang c\u1ea7n GPU \u0111\u1ec3 ch\u1ea1y <strong>PyTorch, TensorFlow, JAX, Hugging Face, LLM inference ho\u1eb7c c\u00e1c workload AI kh\u00e1c<\/strong>, c\u00f3 th\u1ec3 tham kh\u1ea3o gi\u1ea3i ph\u00e1p <strong>Cloud GPU VNSO<\/strong> \u0111\u1ec3 l\u1ef1a ch\u1ecdn c\u1ea5u h\u00ecnh ph\u00f9 h\u1ee3p v\u1edbi nhu c\u1ea7u th\u1ef1c t\u1ebf.<\/p>\n\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f22528-o1\" lang=\"en-US\" dir=\"ltr\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/en\/wp-json\/wp\/v2\/posts\/24768#wpcf7-f22528-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" novalidate=\"novalidate\" data-status=\"init\" data-trp-original-action=\"\/en\/wp-json\/wp\/v2\/posts\/24768#wpcf7-f22528-o1\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"22528\" \/>\n<input type=\"hidden\" name=\"_wpcf7_version\" value=\"5.9.5\" \/>\n<input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/>\n<input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f22528-o1\" \/>\n<input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/>\n<input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/>\n<input type=\"hidden\" name=\"_wpcf7_recaptcha_response\" value=\"\" \/>\n<\/div>\n<style>\n .popup-template-wrap .wpcf7-list-item {\n display: inline-block;\n margin: 0 1em 0 0;\n width: 127px;\n}\n<\/style>\n<div class=\"d-flex gap-3\">\n\t<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-name\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" autocomplete=\"name\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Your name\/company (*)\" value=\"\" type=\"text\" name=\"your-name\" \/><\/span> <\/label>\n\t<\/p>\n\t<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-phone\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-tel wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-tel\" id=\"phone\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"S\u1ed1 \u0111i\u1ec7n tho\u1ea1i (*)\" value=\"\" type=\"tel\" name=\"your-phone\" \/><\/span> <\/label>\n\t<\/p>\n<\/div>\n<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-email\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email\" autocomplete=\"email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Email c\u00f4ng ty\/c\u00e1 nh\u00e2n (*)\" value=\"\" type=\"email\" name=\"your-email\" \/><\/span> <\/label>\n<\/p>\n<div style=\"text-align: left;\">\n\t<p><label class=\"label-select text-left\"><b> Service you're interested in:<\/b> (Choose one) <\/label><br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-service\"><span class=\"wpcf7-form-control wpcf7-checkbox wpcf7-validates-as-required wpcf7-exclusive-checkbox\"><span class=\"wpcf7-list-item first\"><input type=\"checkbox\" name=\"your-service\" value=\"Dedicated Server\" \/><span class=\"wpcf7-list-item-label\">Dedicated Server<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Server GPU\" \/><span class=\"wpcf7-list-item-label\">Server GPU<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud GPU\" \/><span class=\"wpcf7-list-item-label\">Cloud GPU<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud Camera AI\" \/><span class=\"wpcf7-list-item-label\">Cloud Camera AI<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Hosting\" \/><span class=\"wpcf7-list-item-label\">Hosting<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"VPS\" \/><span class=\"wpcf7-list-item-label\">VPS<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud Server\" \/><span class=\"wpcf7-list-item-label\">Cloud Server<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Enterprise Cloud\" \/><span class=\"wpcf7-list-item-label\">Enterprise Cloud<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Private Cloud\" \/><span class=\"wpcf7-list-item-label\">Private Cloud<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud Storage\" \/><span class=\"wpcf7-list-item-label\">Cloud Storage<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"CDN\" \/><span class=\"wpcf7-list-item-label\">CDN<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Anti-DDoS\" \/><span class=\"wpcf7-list-item-label\">Anti-DDoS<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"C\u00e1c d\u1ecbch v\u1ee5 kh\u00e1c\" \/><span class=\"wpcf7-list-item-label\">C\u00e1c d\u1ecbch v\u1ee5 kh\u00e1c<\/span><\/span><span class=\"wpcf7-list-item last\"><input type=\"checkbox\" name=\"your-service\" value=\"T\u01b0 v\u1ea5n\" \/><span class=\"wpcf7-list-item-label\">T\u01b0 v\u1ea5n<\/span><\/span><\/span><\/span>\n\t<\/p>\n<\/div>\n<div class=\"m-auto text-center\">\n\t<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner\" type=\"submit\" value=\"Sign Up Now\" \/>\n\t<\/p>\n<\/div><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<input type=\"hidden\" name=\"trp-form-language\" value=\"en\"\/><\/form>\n<\/div>\n\n<h2>C\u00e1c c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 Framework AI (FAQ)<\/h2>\n<h3>1. C\u00f3 th\u1ec3 s\u1eed d\u1ee5ng nhi\u1ec1u framework AI trong c\u00f9ng m\u1ed9t d\u1ef1 \u00e1n kh\u00f4ng?<\/h3>\n<p>C\u00f3. M\u1ed9t d\u1ef1 \u00e1n AI c\u00f3 th\u1ec3 k\u1ebft h\u1ee3p nhi\u1ec1u c\u00f4ng c\u1ee5 \u1edf c\u00e1c c\u00f4ng \u0111o\u1ea1n kh\u00e1c nhau. V\u00ed d\u1ee5, Hugging Face Transformers h\u1ed7 tr\u1ee3 t\u1ea3i, hu\u1ea5n luy\u1ec7n v\u00e0 ch\u1ea1y m\u00f4 h\u00ecnh, trong khi m\u1ed9t framework kh\u00e1c c\u00f3 th\u1ec3 \u0111\u1ea3m nhi\u1ec7m ph\u1ea7n t\u1ed1i \u01b0u ho\u1eb7c tri\u1ec3n khai.<\/p>\n<h3>2. Framework AI c\u00f3 c\u1ea7n bi\u1ebft l\u1eadp tr\u00ecnh m\u1edbi s\u1eed d\u1ee5ng \u0111\u01b0\u1ee3c kh\u00f4ng?<\/h3>\n<p>C\u00f3 ki\u1ebfn th\u1ee9c l\u1eadp tr\u00ecnh s\u1ebd gi\u00fap b\u1ea1n s\u1eed d\u1ee5ng framework AI hi\u1ec7u qu\u1ea3 h\u01a1n, \u0111\u1eb7c bi\u1ec7t khi c\u1ea7n x\u00e2y d\u1ef1ng ho\u1eb7c t\u00f9y ch\u1ec9nh m\u00f4 h\u00ecnh. Tuy nhi\u00ean, ng\u01b0\u1eddi m\u1edbi c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u t\u1eeb c\u00e1c API v\u00e0 th\u01b0 vi\u1ec7n c\u00f3 s\u1eb5n thay v\u00ec t\u1ef1 vi\u1ebft to\u00e0n b\u1ed9 thu\u1eadt to\u00e1n t\u1eeb \u0111\u1ea7u.<\/p>\n<h3>3. Framework AI c\u00f3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn t\u1ed1c \u0111\u1ed9 ch\u1ea1y m\u00f4 h\u00ecnh kh\u00f4ng?<\/h3>\n<p>C\u00f3. Framework v\u00e0 c\u00e1ch tri\u1ec3n khai c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn hi\u1ec7u su\u1ea5t th\u00f4ng qua c\u01a1 ch\u1ebf bi\u00ean d\u1ecbch, vector h\u00f3a, t\u1ed1i \u01b0u ph\u00e9p t\u00ednh v\u00e0 kh\u1ea3 n\u0103ng t\u1eadn d\u1ee5ng ph\u1ea7n c\u1ee9ng. JAX ch\u1eb3ng h\u1ea1n s\u1eed d\u1ee5ng c\u00e1c c\u01a1 ch\u1ebf nh\u01b0 <code>jit()<\/code> \u0111\u1ec3 bi\u00ean d\u1ecbch v\u00e0 t\u1ed1i \u01b0u ph\u00e9p t\u00ednh cho CPU, GPU ho\u1eb7c TPU.<\/p>\n<h3>4. Framework AI c\u00f3 ph\u1ea3i l\u00e0 m\u00f4 h\u00ecnh AI kh\u00f4ng?<\/h3>\n<p>Kh\u00f4ng. Framework l\u00e0 b\u1ed9 c\u00f4ng c\u1ee5 gi\u00fap l\u1eadp tr\u00ecnh, hu\u1ea5n luy\u1ec7n ho\u1eb7c ch\u1ea1y AI, c\u00f2n m\u00f4 h\u00ecnh AI l\u00e0 s\u1ea3n ph\u1ea9m \u0111\u01b0\u1ee3c t\u1ea1o ra sau qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n. C\u00f3 th\u1ec3 hi\u1ec3u \u0111\u01a1n gi\u1ea3n: framework l\u00e0 c\u00f4ng c\u1ee5 \u0111\u1ec3 x\u00e2y d\u1ef1ng v\u00e0 v\u1eadn h\u00e0nh, c\u00f2n model l\u00e0 th\u1ee9 AI s\u1eed d\u1ee5ng \u0111\u1ec3 th\u1ef1c hi\u1ec7n nhi\u1ec7m v\u1ee5.<\/p>\n<h3>5. C\u00f3 th\u1ec3 ch\u1ea1y Framework AI tr\u00ean m\u00e1y t\u00ednh c\u00e1 nh\u00e2n kh\u00f4ng?<\/h3>\n<p>C\u00f3. C\u00e1c framework AI c\u00f3 th\u1ec3 ch\u1ea1y tr\u00ean m\u00e1y c\u00e1 nh\u00e2n n\u1ebfu h\u1ec7 \u0111i\u1ec1u h\u00e0nh, CPU\/GPU, b\u1ed9 nh\u1edb v\u00e0 c\u00e1c th\u01b0 vi\u1ec7n ph\u1ee5 thu\u1ed9c \u0111\u00e1p \u1ee9ng y\u00eau c\u1ea7u. V\u1edbi workload l\u1edbn ho\u1eb7c m\u00f4 h\u00ecnh c\u1ea7n nhi\u1ec1u VRAM, Cloud GPU c\u00f3 th\u1ec3 gi\u00fap m\u1edf r\u1ed9ng t\u00e0i nguy\u00ean m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u1ea7u t\u01b0 to\u00e0n b\u1ed9 ph\u1ea7n c\u1ee9ng.<\/p>\n<h3>6. Khi n\u00e0o n\u00ean thu\u00ea Cloud GPU \u0111\u1ec3 ch\u1ea1y Framework AI?<\/h3>\n<p>Cloud GPU ph\u00f9 h\u1ee3p khi workload c\u1ea7n GPU m\u1ea1nh, nhi\u1ec1u VRAM ho\u1eb7c c\u1ea7n t\u0103ng gi\u1ea3m t\u00e0i nguy\u00ean linh ho\u1ea1t. \u0110\u00e2y c\u0169ng l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u00e1ng c\u00e2n nh\u1eafc khi doanh nghi\u1ec7p mu\u1ed1n th\u1eed nghi\u1ec7m AI, fine-tuning ho\u1eb7c inference m\u00e0 ch\u01b0a mu\u1ed1n \u0111\u1ea7u t\u01b0 m\u00e1y ch\u1ee7 GPU ri\u00eang.<\/p>\n<h2 style=\"text-align: justify;\"><strong>Th\u00f4ng tin li\u00ean h\u1ec7<\/strong><\/h2>\n<p style=\"text-align: justify;\">\u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00f4ng tin v\u1ec1 c\u00e1c gi\u1ea3i ph\u00e1p CNTT, Cloud Server, GPU v\u00e0 m\u00e0n h\u00ecnh LED BOE h\u00e0ng \u0111\u1ea7u Vi\u1ec7t Nam, Qu\u00fd kh\u00e1ch vui l\u00f2ng li\u00ean h\u1ec7 ch\u00fang t\u00f4i theo th\u00f4ng tin d\u01b0\u1edbi \u0111\u00e2y:<\/p>\n<p style=\"text-align: justify;\"><strong>C\u00d4NG TY C\u1ed4 PH\u1ea6N C\u00d4NG NGH\u1ec6 VNSO &#8211; SINCE 2015<\/strong><\/p>\n<p style=\"text-align: justify;\">&#8211; Website: <a href=\"https:\/\/vnso.vn\/en\/\">https:\/\/vnso.vn\/<\/a><br \/>\n&#8211; Fanpage: <a href=\"https:\/\/www.facebook.com\/VNSO.VN\/\">Facebook<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/vnso-technology\/\">LinkedIn<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.youtube.com\/@vnsotechnology\">YouTube<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.tiktok.com\/@vnso.congnghe?is_from_webapp=1&amp;sender_device=pc\">TikTok<\/a><br \/>\n&#8211; Hotline: 0927 444 222 | Email: <a href=\"mailto:info@vnso.vn\">info@vnso.vn<\/a><br \/>\n&#8211; Tr\u1ee5 s\u1edf: L\u00f4 O s\u1ed1 10, \u0110\u01b0\u1eddng s\u1ed1 15, KDC Mi\u1ebfu N\u1ed5i, Ph\u01b0\u1eddng Gia \u0110\u1ecbnh, TP. H\u1ed3 Ch\u00ed Minh<br \/>\n&#8211; VPGD \u0110\u00e0 N\u1eb5ng: 30 Nguy\u1ec5n H\u1eefu Th\u1ecd, Ph\u01b0\u1eddng H\u1ea3i Ch\u00e2u, \u0110\u00e0 N\u1eb5ng<br \/>\n&#8211; VPGD H\u00e0 N\u1ed9i: 132 V\u0169 Ph\u1ea1m H\u00e0m, Ph\u01b0\u1eddng Y\u00ean H\u00f2a, H\u00e0 N\u1ed9i<\/p>","protected":false},"excerpt":{"rendered":"<p>Framework AI (AI framework) l\u00e0 n\u1ec1n t\u1ea3ng ph\u1ea7n m\u1ec1m gi\u00fap l\u1eadp tr\u00ecnh vi\u00ean v\u00e0 k\u1ef9 s\u01b0 x\u00e2y d\u1ef1ng, hu\u1ea5n luy\u1ec7n, t\u1ed1i \u01b0u v\u00e0 tri\u1ec3n khai c\u00e1c m\u00f4 h\u00ecnh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) m\u00e0 kh\u00f4ng ph\u1ea3i t\u1ef1 ph\u00e1t tri\u1ec3n m\u1ecdi th\u00e0nh ph\u1ea7n t\u1eeb \u0111\u1ea7u. N\u1ebfu m\u1edbi t\u00ecm hi\u1ec3u v\u1ec1 AI, b\u1ea1n c\u00f3 th\u1ec3 b\u1eaft g\u1eb7p [&hellip;]<\/p>","protected":false},"author":6,"featured_media":24770,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[680,544,538],"tags":[510,586,755,507],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Framework AI l\u00e0 g\u00ec? C\u00e1c framework AI ph\u1ed5 bi\u1ebfn v\u00e0 c\u00e1ch l\u1ef1a ch\u1ecdn<\/title>\n<meta name=\"description\" content=\"Framework AI l\u00e0 g\u00ec v\u00e0 d\u00f9ng \u0111\u1ec3 l\u00e0m g\u00ec? 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Kh\u00e1m ph\u00e1 PyTorch, TensorFlow, c\u00f9ng c\u00e1c framework ph\u1ed5 bi\u1ebfn v\u00e0 c\u00e1ch ch\u1ecdn GPU ph\u00f9 h\u1ee3p \u0111\u1ec3 ch\u1ea1y AI hi\u1ec7u qu\u1ea3!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/vnso.vn\/en\/framework-ai-la-gi\/\" \/>\n<meta property=\"og:site_name\" content=\"C\u00d4NG NGH\u1ec6 VNSO\u2122\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/VNSO.VN\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-26T03:22:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/09\/Framework-AI-la-gi-Cac-framework-pho-bien-va-cach-lua-chon-phu-hop.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"624\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"\u0110\u0103ng Hu\u1ef3nh\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0110\u0103ng Hu\u1ef3nh\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"15 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/vnso.vn\/framework-ai-la-gi\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/vnso.vn\/framework-ai-la-gi\/\"},\"author\":{\"name\":\"\u0110\u0103ng Hu\u1ef3nh\",\"@id\":\"https:\/\/vnso.vn\/#\/schema\/person\/f21225ff9ae685c9bc40d5f145166bd7\"},\"headline\":\"Framework AI l\u00e0 g\u00ec? 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