{"id":23415,"date":"2026-06-09T15:53:19","date_gmt":"2026-06-09T08:53:19","guid":{"rendered":"https:\/\/thegioimaychu.vn\/blog\/?p=23415"},"modified":"2026-06-09T16:41:52","modified_gmt":"2026-06-09T09:41:52","slug":"buoc-vao-ky-nguyen-tro-ly-ai-ca-nhan-so-sanh-chi-tiet-nvidia-rtx-spark-va-dgx-spark","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/buoc-vao-ky-nguyen-tro-ly-ai-ca-nhan-so-sanh-chi-tiet-nvidia-rtx-spark-va-dgx-spark-p23415\/","title":{"rendered":"B\u01b0\u1edbc v\u00e0o k\u1ef7 nguy\u00ean tr\u1ee3 l\u00fd AI c\u00e1 nh\u00e2n &#8211; so s\u00e1nh chi ti\u1ebft NVIDIA RTX Spark v\u00e0 DGX Spark"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-793\">Th\u1ebf gi\u1edbi c\u00f4ng ngh\u1ec7 \u0111ang ch\u1ee9ng ki\u1ebfn m\u1ed9t b\u01b0\u1edbc chuy\u1ec3n d\u1ecbch v\u0129 \u0111\u1ea1i khi <a class=\"iblink\" href=\"\/blog\/tag\/ai\/\">tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/a> kh\u00f4ng c\u00f2n xa v\u1eddi tr\u00ean c\u00e1c \u0111\u00e1m m\u00e2y trung t\u00e2m d\u1eef li\u1ec7u, m\u00e0 \u0111\u00e3 ch\u00ednh th\u1ee9c g\u00f5 c\u1eeda t\u1eebng thi\u1ebft b\u1ecb c\u00e1 nh\u00e2n t\u1ea1i c\u1eadn bi\u00ean. T\u1ea1i s\u1ef1 ki\u1ec7n <strong>GTC 2026<\/strong> \u1edf \u0110\u00e0i Loan, NVIDIA c\u00f9ng c\u00e1c \u0111\u1ed1i t\u00e1c \u0111\u00e3 ch\u00ednh th\u1ee9c c\u00f4ng b\u1ed1 si\u00eau chip di \u0111\u1ed9ng <b>NVIDIA RTX Spark<\/b> , m\u1edf ra k\u1ef7 nguy\u00ean m\u1edbi cho d\u00f2ng Windows PC t\u00edch h\u1ee3p tr\u1ee3 l\u00fd AI (AI Agents).<\/p>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-794\">S\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a <strong>RTX Spark<\/strong> \u0111\u00e3 t\u1ea1o n\u00ean m\u1ed9t l\u00e0n s\u00f3ng th\u1ea3o lu\u1eadn l\u1edbn khi \u0111\u1eb7t c\u1ea1nh <b>NVIDIA <a class=\"iblink\" href=\"\/blog\/tag\/dgxspark\/\">DGX Spark<\/a><\/b> \u2013 chi\u1ebfc si\u00eau m\u00e1y t\u00ednh AI mini \u0111\u1ec3 b\u00e0n chuy\u00ean d\u1ee5ng \u0111\u00e3 \u0111\u01b0\u1ee3c tr\u00ecnh l\u00e0ng tr\u01b0\u1edbc \u0111\u00f3. M\u1eb7c d\u00f9 c\u00f9ng chia s\u1ebb DNA t\u1eeb ki\u1ebfn tr\u00fac b\u00e1n d\u1eabn Grace Blackwell, hai n\u1ec1n t\u1ea3ng n\u00e0y l\u1ea1i \u0111\u01b0\u1ee3c NVIDIA t\u1ed1i \u01b0u h\u00f3a cho nh\u1eefng ph\u00e2n kh\u00fac ng\u01b0\u1eddi d\u00f9ng v\u00e0 k\u1ecbch b\u1ea3n \u1ee9ng d\u1ee5ng ho\u00e0n to\u00e0n kh\u00e1c nhau.<\/p>\n<h1>\u0110i\u1ec3m t\u01b0\u01a1ng \u0111\u1ed3ng c\u1ed1t l\u00f5i mang s\u1ee9c m\u1ea1nh t\u1eeb ki\u1ebfn tr\u00fac Grace Blackwell<\/h1>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-796\">D\u00f9 h\u01b0\u1edbng t\u1edbi hai ph\u00e2n kh\u00fac thi\u1ebft b\u1ecb kh\u00e1c nhau, c\u1ea3 RTX Spark v\u00e0 <a class=\"iblink\" href=\"\/blog\/tag\/dgxspark\/\">DGX Spark<\/a> \u0111\u1ec1u h\u1ed9i t\u1ee5 nh\u1eefng tinh hoa c\u00f4ng ngh\u1ec7 m\u1ea1nh m\u1ebd nh\u1ea5t c\u1ee7a NVIDIA \u1edf th\u1eddi \u0111i\u1ec3m hi\u1ec7n t\u1ea1i :<\/p>\n<ul>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-797\"><b>Ki\u1ebfn tr\u00fac Grace Blackwell:<\/b> C\u1ea3 hai h\u1ec7 th\u1ed1ng \u0111\u1ec1u t\u00edch h\u1ee3p CPU Arm 20 nh\u00e2n (Ultra-Efficient CPU) k\u1ebft h\u1ee3p c\u00f9ng GPU ki\u1ebfn tr\u00fac Blackwell ti\u00ean ti\u1ebfn th\u00f4ng qua k\u1ebft n\u1ed1i si\u00eau t\u1ed1c NVLink-C2C.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-798\"><b>Hi\u1ec7u n\u0103ng AI v\u01b0\u1ee3t tr\u1ed9i:<\/b> \u0110\u1ea1t s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n AI l\u00ean \u0111\u1ebfn <b>1 Petaflop<\/b> nh\u1edd c\u00e1c nh\u00e2n Tensor th\u1ebf h\u1ec7 th\u1ee9 5 h\u1ed7 tr\u1ee3 \u0111\u1ecbnh d\u1ea1ng s\u1ed1 th\u1ef1c 4-bit (FP4).<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-799\"><b>B\u1ed9 nh\u1edb h\u1ee3p nh\u1ea5t (Unified Memory) kh\u1ed5ng l\u1ed3:<\/b> H\u1ed7 tr\u1ee3 dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb d\u00f9ng chung t\u1ed1i \u0111a l\u00ean \u0111\u1ebfn <b>128 GB LPDDR5X<\/b>. \u0110\u00e2y l\u00e0 ch\u00eca kh\u00f3a v\u00e0ng gi\u00fap gi\u1ea3i quy\u1ebft tri\u1ec7t \u0111\u1ec3 b\u00e0i to\u00e1n ngh\u1ebdn c\u1ed5 chai d\u1eef li\u1ec7u v\u00e0 cho ph\u00e9p ch\u1ea1y tr\u1ef1c ti\u1ebfp c\u00e1c m\u00f4 h\u00ecnh AI ng\u00f4n ng\u1eef l\u1edbn ngay t\u1ea1i local (n\u1ed9i b\u1ed9 tr\u00ean thi\u1ebft b\u1ecb).<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-800\"><b>H\u1ed7 tr\u1ee3 h\u1ec7 sinh th\u00e1i CUDA:<\/b> C\u1ea3 hai thi\u1ebft b\u1ecb \u0111\u1ec1u ch\u1ea1y tr\u1ef1c ti\u1ebfp n\u1ec1n t\u1ea3ng ph\u1ea7n m\u1ec1m t\u0103ng t\u1ed1c AI h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi CUDA, gi\u00fap t\u1ed1i \u01b0u h\u00f3a t\u1ed1i \u0111a c\u00e1c quy tr\u00ecnh th\u1eed nghi\u1ec7m v\u00e0 v\u1eadn h\u00e0nh m\u00f4 h\u00ecnh.<\/p>\n<\/li>\n<\/ul>\n<h1>S\u1ef1 kh\u00e1c bi\u1ec7t k\u1ef9 thu\u1eadt gi\u1eefa RTX Spark v\u00e0 DGX Spark<\/h1>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-801\">\u0110\u1ec3 ph\u00f9 h\u1ee3p v\u1edbi t\u1eebng m\u00f4i tr\u01b0\u1eddng v\u1eadn h\u00e0nh ri\u00eang bi\u1ec7t, NVIDIA \u0111\u00e3 th\u1ef1c hi\u1ec7n nh\u1eefng tinh ch\u1ec9nh ph\u1ea7n c\u1ee9ng v\u00e0 ph\u1ea7n m\u1ec1m r\u1ea5t r\u00f5 r\u00e0ng :<\/p>\n<h3>H\u1ec7 \u0111i\u1ec1u h\u00e0nh v\u00e0 tr\u1ea3i nghi\u1ec7m ph\u1ea7n m\u1ec1m<\/h3>\n<ul>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-802\"><b>DGX Spark:<\/b> V\u1eadn h\u00e0nh tr\u00ean <b>DGX OS<\/b> (b\u1ea3n ph\u00e2n ph\u1ed1i Ubuntu Linux 24.04 LTS \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a s\u00e2u b\u1edfi NVIDIA). H\u1ec7 th\u1ed1ng \u0111\u01b0\u1ee3c c\u00e0i \u0111\u1eb7t s\u1eb5n to\u00e0n b\u1ed9 th\u01b0 vi\u1ec7n ph\u1ea7n m\u1ec1m AI cao c\u1ea5p c\u1ee7a h\u00e3ng (<a class=\"iblink\" href=\"\/solution\/infra\/ai\/bo-giai-phap-trien-khai-ai-cap-doanh-nghiep-nvidia-ai-enterprise-p4126\/\">NVIDIA AI Enterprise<\/a>, NIM, NeMo, TensorRT-LLM). N\u00f3 mang l\u1ea1i tr\u1ea3i nghi\u1ec7m \u0111\u1ed3ng nh\u1ea5t 100% v\u1edbi c\u00e1c si\u00eau m\u00e1y t\u00ednh trong trung t\u00e2m d\u1eef li\u1ec7u.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-803\"><b>RTX Spark:<\/b> \u0110\u01b0\u1ee3c thi\u1ebft k\u1ebf t\u1ed1i \u01b0u cho h\u1ec7 \u0111i\u1ec1u h\u00e0nh <b>Windows on Arm<\/b>. Thi\u1ebft b\u1ecb gia nh\u1eadp h\u00e0ng ng\u0169 Copilot+ PC th\u1ebf h\u1ec7 m\u1edbi, h\u1ed7 tr\u1ee3 c\u00e1c t\u00ednh n\u0103ng AI t\u00edch h\u1ee3p c\u1ee7a Windows k\u1ebft h\u1ee3p c\u00f9ng tr\u00ecnh gi\u1ea3 l\u1eadp Prism \u0111\u1ec3 ch\u1ea1y m\u01b0\u1ee3t m\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng x86 truy\u1ec1n th\u1ed1ng.<\/p>\n<\/li>\n<\/ul>\n<h3>Kh\u1ea3 n\u0103ng k\u1ebft n\u1ed1i v\u00e0 n\u00e2ng c\u1ea5p c\u1ee5m (Spark Stacking)<\/h3>\n<ul>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-804\"><b>DGX Spark:<\/b> Trang b\u1ecb ph\u1ea7n c\u1ee9ng m\u1ea1ng chuy\u00ean nghi\u1ec7p <b>NVIDIA ConnectX-7 Smart NIC<\/b> h\u1ed7 tr\u1ee3 b\u0103ng th\u00f4ng l\u00ean t\u1edbi 200 Gbps. M\u1eb7t sau thi\u1ebft b\u1ecb s\u1edf h\u1eefu c\u1ed5ng m\u1ea1ng QSFP chuy\u00ean d\u1ee5ng cho ph\u00e9p tri\u1ec3n khai c\u00f4ng ngh\u1ec7 gh\u00e9p c\u1ee5m ph\u1ea7n c\u1ee9ng <b>Spark Stacking<\/b>. Ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 k\u1ebft n\u1ed1i tr\u1ef1c ti\u1ebfp hai m\u00e1y DGX Spark \u0111\u1ec3 g\u1ed9p t\u00e0i nguy\u00ean, n\u00e2ng kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u00e1c m\u00f4 h\u00ecnh AI t\u1eeb 200 t\u1ef7 tham s\u1ed1 l\u00ean m\u1ee9c si\u00eau l\u1edbn 405 t\u1ef7 tham s\u1ed1.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-805\"><b>RTX Spark:<\/b> Lo\u1ea1i b\u1ecf module m\u1ea1ng ConnectX-7 v\u00e0 c\u1ed5ng QSFP \u0111\u1ec3 ti\u1ebft ki\u1ec7m kh\u00f4ng gian v\u1eadt l\u00fd v\u00e0 \u0111i\u1ec7n n\u0103ng. Thay v\u00e0o \u0111\u00f3, thi\u1ebft b\u1ecb s\u1eed d\u1ee5ng c\u00e1c k\u1ebft n\u1ed1i ti\u00eau chu\u1ea9n d\u00e2n d\u1ee5ng cao c\u1ea5p nh\u01b0 Wi-Fi 7, Bluetooth v\u00e0 c\u1ed5ng USB4 Type-C \u0111\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u giao ti\u1ebfp ngo\u1ea1i vi th\u00f4ng th\u01b0\u1eddng.<\/p>\n<\/li>\n<\/ul>\n<h3>Thi\u1ebft k\u1ebf v\u00e0 \u0111i\u1ec7n n\u0103ng ti\u00eau th\u1ee5<\/h3>\n<ul>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-806\"><b>DGX Spark:<\/b> L\u00e0 m\u1ed9t m\u00e1y tr\u1ea1m mini \u0111\u1ec3 b\u00e0n nh\u1ecf g\u1ecdn d\u1ea1ng h\u1ed9p vu\u00f4ng v\u1edbi k\u00edch th\u01b0\u1edbc 150 x 150 x 50.5 mm, n\u1eb7ng 1.2 kg. SoC ho\u1ea1t \u0111\u1ed9ng v\u1edbi c\u00f4ng su\u1ea5t t\u1ecfa nhi\u1ec7t (TDP) \u1edf m\u1ee9c 140W v\u00e0 \u0111i k\u00e8m b\u1ed9 c\u1ea5p ngu\u1ed3n ngo\u00e0i 240W \u0111\u1ec3 duy tr\u00ec hi\u1ec7u n\u0103ng \u0111\u1ec9nh li\u00ean t\u1ee5c.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-807\"><b>RTX Spark:<\/b> \u0110\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 t\u00edch h\u1ee3p s\u00e2u v\u00e0o c\u00e1c m\u1eabu m\u00e1y t\u00ednh x\u00e1ch tay m\u1ecfng nh\u1eb9 (\u0111\u1ed9 d\u00e0y ch\u1ec9 t\u1eeb 14mm, n\u1eb7ng kho\u1ea3ng 1.36 kg) ho\u1eb7c c\u00e1c h\u1ec7 m\u00e1y desktop\/mini PC si\u00eau ti\u1ebft ki\u1ec7m \u0111i\u1ec7n. Nh\u1edd s\u1ef1 t\u1ed1i \u01b0u h\u00f3a n\u0103ng l\u01b0\u1ee3ng v\u01b0\u1ee3t tr\u1ed9i h\u1ee3p t\u00e1c c\u00f9ng MediaTek, chip RTX Spark mang l\u1ea1i th\u1eddi l\u01b0\u1ee3ng pin s\u1eed d\u1ee5ng su\u1ed1t c\u1ea3 ng\u00e0y d\u00e0i.<\/p>\n<\/li>\n<\/ul>\n<h1>B\u1ea3ng so s\u00e1nh th\u00f4ng s\u1ed1 tr\u1ef1c quan<\/h1>\n<table>\n<thead>\n<tr>\n<th>\u0110\u1eb7c t\u00ednh k\u1ef9 thu\u1eadt<\/th>\n<th>NVIDIA DGX Spark<\/th>\n<th>NVIDIA RTX Spark<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><b>Ph\u00e2n kh\u00fac thi\u1ebft b\u1ecb<\/b><\/td>\n<td>M\u00e1y tr\u1ea1m AI mini \u0111\u1ec3 b\u00e0n chuy\u00ean d\u1ee5ng<\/td>\n<td>SoC cao c\u1ea5p cho Laptop v\u00e0 PC Windows<\/td>\n<\/tr>\n<tr>\n<td><b>H\u1ec7 \u0111i\u1ec1u h\u00e0nh<\/b><\/td>\n<td>NVIDIA DGX OS (Ubuntu Linux t\u1ed1i \u01b0u)<\/td>\n<td>Windows 11 on Arm (Copilot+ PC)<\/td>\n<\/tr>\n<tr>\n<td><b>C\u1ea5u h\u00ecnh GPU<\/b><\/td>\n<td>Blackwell Architecture (6.144 CUDA Cores)<\/td>\n<td>Blackwell RTX GPU (l\u00ean \u0111\u1ebfn 6.144 Cores)<\/td>\n<\/tr>\n<tr>\n<td><b>C\u1ea5u h\u00ecnh CPU<\/b><\/td>\n<td>20-core Arm (10 Cortex-X925 + 10 Cortex-A725)<\/td>\n<td>CPU si\u00eau ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng l\u00ean \u0111\u1ebfn 20 Core<\/td>\n<\/tr>\n<tr>\n<td><b>Hi\u1ec7u n\u0103ng AI<\/b><\/td>\n<td>1 PFLOP FP4<\/td>\n<td>1 PFLOP FP4<\/td>\n<\/tr>\n<tr>\n<td><b>B\u1ed9 nh\u1edb h\u1ee3p nh\u1ea5t<\/b><\/td>\n<td>128 GB LPDDR5X (273 GB\/s)<\/td>\n<td>L\u00ean \u0111\u1ebfn 128 GB LPDDR5X<\/td>\n<\/tr>\n<tr>\n<td><b>L\u01b0u tr\u1eef<\/b><\/td>\n<td>4 TB NVMe M.2 t\u1ef1 m\u00e3 h\u00f3a<\/td>\n<td>T\u00f9y ch\u1ecdn theo nh\u00e0 s\u1ea3n xu\u1ea5t OEM<\/td>\n<\/tr>\n<tr>\n<td><b>K\u1ebft n\u1ed1i m\u1ea1ng<\/b><\/td>\n<td>10 GbE RJ-45 + ConnectX-7 Smart NIC @ 200 Gbps<\/td>\n<td>Wi-Fi 7 + C\u1ed5ng USB4\/HDMI ti\u00eau chu\u1ea9n<\/td>\n<\/tr>\n<tr>\n<td><b>Kh\u1ea3 n\u0103ng gh\u00e9p c\u1ee5m<\/b><\/td>\n<td>C\u00f3 h\u1ed7 tr\u1ee3 Spark Stacking (gh\u00e9p 2 m\u00e1y)<\/td>\n<td>Kh\u00f4ng h\u1ed7 tr\u1ee3 gh\u00e9p c\u1ee5m ph\u1ea7n c\u1ee9ng<\/td>\n<\/tr>\n<tr>\n<td><b>M\u1ee9c ti\u00eau th\u1ee5 \u0111i\u1ec7n<\/b><\/td>\n<td>TDP SoC 140W (B\u1ed9 ngu\u1ed3n ngo\u00e0i 240W)<\/td>\n<td>Ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng v\u01b0\u1ee3t tr\u1ed9i,\u00a0\u0111\u01b0\u1ee3c t\u1ed1i \u01b0u \u0111\u1ec3 v\u1eadn h\u00e0nh c\u00e1c AI Agent li\u00ean t\u1ee5c 24\/7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h1>\u1ee8ng d\u1ee5ng th\u1ef1c t\u1ebf v\u00e0 th\u1ecb tr\u01b0\u1eddng m\u1ee5c ti\u00eau<\/h1>\n<h3>NVIDIA DGX Spark &#8211; &#8220;AI lab&#8221; thu nh\u1ecf cho nh\u00e0 ph\u00e1t tri\u1ec3n v\u00e0 nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u<\/h3>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1017\">DGX Spark sinh ra \u0111\u1ec3 ph\u1ee5c v\u1ee5 c\u00e1c chuy\u00ean gia MLOps, l\u1eadp tr\u00ecnh vi\u00ean AI v\u00e0 nh\u00e0 nghi\u00ean c\u1ee9u d\u1eef li\u1ec7u c\u1ea7n m\u1ed9t m\u00f4i tr\u01b0\u1eddng \u0111\u1ed9c l\u1eadp, b\u1ea3o m\u1eadt v\u00e0 t\u01b0\u01a1ng th\u00edch tuy\u1ec7t \u0111\u1ed1i v\u1edbi h\u1ea1 t\u1ea7ng m\u00e1y ch\u1ee7 \u0111\u00e1m m\u00e2y.<\/p>\n<ul>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1018\"><b>T\u1ea1o m\u1eabu v\u00e0 th\u1eed nghi\u1ec7m (Prototyping):<\/b> L\u1eadp tr\u00ecnh vi\u00ean c\u00f3 th\u1ec3 x\u00e2y d\u1ef1ng, ch\u1ea1y th\u1eed nghi\u1ec7m c\u00e1c \u1ee9ng d\u1ee5ng tr\u1ee3 l\u00fd AI t\u1ef1 tr\u1ecb b\u1eb1ng c\u00f4ng c\u1ee5 NemoClaw k\u1ebft h\u1ee3p b\u1ea3o m\u1eadt OpenShell ngay t\u1ea1i ch\u1ed7 tr\u01b0\u1edbc khi \u0111\u1ea9y l\u00ean c\u1ee5m m\u00e1y ch\u1ee7 trung t\u00e2m d\u1eef li\u1ec7u.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1019\"><b>Tinh ch\u1ec9nh m\u00f4 h\u00ecnh (Fine-Tuning):<\/b> Nh\u1edd b\u1ed9 nh\u1edb th\u1ed1ng nh\u1ea5t 128 GB, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 tinh ch\u1ec9nh c\u00e1c m\u00f4 h\u00ecnh AI c\u00f3 quy m\u00f4 l\u00ean \u0111\u1ebfn 70 t\u1ef7 tham s\u1ed1 ngay t\u1ea1i local m\u00e0 kh\u00f4ng c\u1ea7n thu\u00ea GPU \u0111\u00e1m m\u00e2y \u0111\u1eaft \u0111\u1ecf.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1020\"><b>Suy lu\u1eadn c\u1ee5c b\u1ed9 (Inference):<\/b> Ch\u1ea1y m\u01b0\u1ee3t m\u00e0 c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn c\u00f3 quy m\u00f4 l\u00ean \u0111\u1ebfn 200 t\u1ef7 tham s\u1ed1 v\u00e0 l\u00ean \u0111\u1ebfn 405 t\u1ef7 tham s\u1ed1 khi gh\u00e9p c\u1ee5m hai m\u00e1y \u0111\u1ec3 ph\u00e2n t\u00edch c\u00e1c t\u1eadp d\u1eef li\u1ec7u b\u1ea3o m\u1eadt c\u1ee7a doanh nghi\u1ec7p.<\/p>\n<\/li>\n<\/ul>\n<h3>NVIDIA RTX Spark &#8211; tr\u1ea1m s\u1ee9c m\u1ea1nh di \u0111\u1ed9ng cho nh\u00e0 s\u00e1ng t\u1ea1o, l\u1eadp tr\u00ecnh vi\u00ean c\u00e1 nh\u00e2n v\u00e0 game th\u1ee7<\/h3>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1021\">RTX Spark kh\u00f4ng h\u01b0\u1edbng t\u1edbi m\u00f4i tr\u01b0\u1eddng ph\u00f2ng th\u00ed nghi\u1ec7m c\u00f4 l\u1eadp, m\u00e0 l\u00e0 ng\u01b0\u1eddi b\u1ea1n \u0111\u1ed3ng h\u00e0nh \u0111\u1eafc l\u1ef1c n\u00e2ng t\u1ea7m tr\u1ea3i nghi\u1ec7m l\u00e0m vi\u1ec7c v\u00e0 gi\u1ea3i tr\u00ed h\u00e0ng ng\u00e0y tr\u00ean c\u00e1c m\u1eabu laptop m\u1ecfng nh\u1eb9 :<\/p>\n<ul>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1022\"><b>Nh\u00e0 s\u00e1ng t\u1ea1o n\u1ed9i dung (Creators):<\/b> T\u1eadn d\u1ee5ng t\u1ed1i \u0111a b\u1ed9 nh\u1edb h\u1ee3p nh\u1ea5t kh\u1ed5ng l\u1ed3 v\u00e0 s\u1ee9c m\u1ea1nh \u0111\u1ed3 h\u1ecda Blackwell \u0111\u1ec3 render c\u00e1c ph\u00e2n c\u1ea3nh 3D si\u00eau n\u1eb7ng (h\u01a1n 90 GB), d\u1ef1ng v\u00e0 x\u1eed l\u00fd video th\u00f4 \u0111\u1ed9 ph\u00e2n gi\u1ea3i l\u00ean t\u1edbi 12K 4:2:2, hay s\u00e1ng t\u1ea1o ngh\u1ec7 thu\u1eadt b\u1eb1ng AI tr\u00ean c\u00e1c ph\u1ea7n m\u1ec1m Adobe \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a ri\u00eang.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1023\"><b>L\u1eadp tr\u00ecnh vi\u00ean (Developers):<\/b> Ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m v\u00e0 ch\u1ea1y th\u1eed nghi\u1ec7m c\u00e1c Agent c\u00e1 nh\u00e2n th\u00f4ng qua m\u00f4i tr\u01b0\u1eddng Windows Subsystem for Linux (WSL) , \u0111\u1ea3m b\u1ea3o d\u1eef li\u1ec7u c\u00e1 nh\u00e2n lu\u00f4n \u0111\u01b0\u1ee3c c\u00f4 l\u1eadp an to\u00e0n trong c\u00e1c sandbox ph\u1ea7n c\u1ee9ng do OpenShell \u0111i\u1ec1u ph\u1ed1i.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1024\"><b>Game th\u1ee7 (Gamers):<\/b> Tr\u1ea3i nghi\u1ec7m c\u00e1c t\u1ef1a game AAA bom t\u1ea5n \u1edf \u0111\u1ed9 ph\u00e2n gi\u1ea3i 1440p v\u1edbi t\u1ed1c \u0111\u1ed9 khung h\u00ecnh v\u01b0\u1ee3t m\u1ee9c 100 FPS nh\u1edd s\u1ef1 b\u1ed5 tr\u1ee3 c\u1ee7a c\u00e1c c\u00f4ng ngh\u1ec7 \u0111\u1ed3 h\u1ecda \u0111\u1ec9nh cao t\u1eeb NVIDIA nh\u01b0 Ray Tracing, DLSS, Reflex v\u00e0 G-SYNC.<\/p>\n<\/li>\n<\/ul>\n<h1>V\u1eady n\u00ean ch\u1ecdn thi\u1ebft b\u1ecb n\u00e0o?<\/h1>\n<ul>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1025\"><b>H\u00e3y ch\u1ecdn DGX Spark n\u1ebfu:<\/b> B\u1ea1n l\u00e0 m\u1ed9t nh\u00e0 nghi\u00ean c\u1ee9u, k\u1ef9 s\u01b0 AI chuy\u00ean nghi\u1ec7p ho\u1eb7c doanh nghi\u1ec7p c\u1ea7n m\u1ed9t m\u00e1y tr\u1ea1m chuy\u00ean d\u1ee5ng ch\u1ea1y Linux, y\u00eau c\u1ea7u kh\u1ea3 n\u0103ng t\u01b0\u01a1ng th\u00edch ph\u1ea7n m\u1ec1m d\u1eef li\u1ec7u l\u1edbn t\u1ed1i \u0111a v\u00e0 c\u00f3 k\u1ebf ho\u1ea1ch n\u00e2ng c\u1ea5p hi\u1ec7u n\u0103ng linh ho\u1ea1t b\u1eb1ng c\u00e1ch gh\u00e9p c\u1ee5m ph\u1ea7n c\u1ee9ng sau n\u00e0y.<\/p>\n<\/li>\n<li>\n<p id=\"p-c_7cc68bc81a8e9766_rtx_vs_dgx_spark_no_colon_blog_2026-1026\"><b>H\u00e3y ch\u1ecdn RTX Spark n\u1ebfu:<\/b> B\u1ea1n l\u00e0 m\u1ed9t nh\u00e0 s\u00e1ng t\u1ea1o n\u1ed9i dung, m\u1ed9t nh\u00e0 ph\u00e1t tri\u1ec3n AI t\u1ef1 do ho\u1eb7c m\u1ed9t game th\u1ee7 cao c\u1ea5p y\u00eau c\u1ea7u hi\u1ec7u n\u0103ng x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda\/AI \u0111\u1ec9nh cao nh\u01b0ng ph\u1ea3i n\u1eb1m g\u1ecdn trong m\u1ed9t chi\u1ebfc laptop m\u1ecfng nh\u1eb9, pin l\u00e2u v\u00e0 ch\u1ea1y h\u1ec7 \u0111i\u1ec1u h\u00e0nh Windows quen thu\u1ed9c \u0111\u1ec3 l\u00e0m vi\u1ec7c m\u1ecdi l\u00fac m\u1ecdi n\u01a1i.<\/p>\n<\/li>\n<\/ul>\n<p>\u0110\u1ed3ng h\u00e0nh c\u00f9ng k\u1ef7 nguy\u00ean AI t\u1ef1 tr\u1ecb c\u00f9ng Th\u1ebf Gi\u1edbi M\u00e1y Ch\u1ee7 \u2013 \u0111\u1ed1i t\u00e1c t\u00edch h\u1ee3p gi\u1ea3i ph\u00e1p tin c\u1eady c\u1ee7a NVIDIA t\u1ea1i Vi\u1ec7t Nam. Ch\u00fang t\u00f4i cam k\u1ebft mang l\u1ea1i c\u00e1c gi\u1ea3i ph\u00e1p ph\u1ea7n c\u1ee9ng t\u1ed1i \u01b0u nh\u1ea5t, gi\u00fap doanh nghi\u1ec7p t\u0103ng t\u1ed1c m\u1ecdi b\u00e0i to\u00e1n t\u1eeb R&amp;D \u0111\u1ebfn tri\u1ec3n khai th\u1ef1c t\u1ebf.<\/p>\n<p id=\"p-rc_4ac9cce17ceb7e29-1232\">Qu\u00fd kh\u00e1ch h\u00e0ng c\u00f3 nhu c\u1ea7u nh\u1eadn b\u00e1o gi\u00e1 thi\u1ebft b\u1ecb NVIDIA DGX Spark , d\u00f2ng si\u00eau m\u00e1y ch\u1ee7 DGX Station , c\u00e1c h\u1ec7 m\u00e1y tr\u1ea1m RTX hi\u1ec7u n\u0103ng cao ho\u1eb7c c\u1ea5u h\u00ecnh server t\u00edch h\u1ee3p GPU NVIDIA t\u00f9y bi\u1ebfn, xin vui l\u00f2ng li\u00ean h\u1ec7 ngay v\u1edbi ch\u00fang t\u00f4i. \u0110\u1ed9i ng\u0169 chuy\u00ean gia k\u1ef9 thu\u1eadt c\u1ee7a Th\u1ebf Gi\u1edbi M\u00e1y Ch\u1ee7 lu\u00f4n s\u1eb5n s\u00e0ng l\u1eafng nghe v\u00e0 t\u01b0 v\u1ea5n chuy\u00ean s\u00e2u nh\u1eb1m t\u1ed1i \u01b0u h\u00f3a chi ph\u00ed \u0111\u1ea7u t\u01b0 cho doanh nghi\u1ec7p.<\/p>\n<p><strong><a href=\"https:\/\/thegioimaychu.vn\/contact.html\">Li\u00ean h\u1ec7 Th\u1ebf Gi\u1edbi M\u00e1y Ch\u1ee7<\/a><\/strong><\/p>\n<div>____<br \/><b>B\u00e0i vi\u1ebft li\u00ean quan<\/b><\/div>\n<ul>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23395\">\u0110\u00e1nh gi\u00e1 hi\u1ec7u n\u0103ng c\u1ee7a c\u00e1c AI Agent c\u1ee5c b\u1ed9 tr\u00ean NVIDIA DGX Spark (Ollama + OpenClaw)<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23322\">NVIDIA RTX PRO 4500 Blackwell Server Edition: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt t\u1eeb th\u1ebf h\u1ec7 L4 cho h\u1ea1 t\u1ea7ng AI suy lu\u1eadn hi\u1ec7u n\u0103ng cao<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23119\">NVIDIA NGC\u2011ready Low\u2011latency Edge AI: Gi\u1ea3i ph\u00e1p cho Retail, Manufacturing v\u00e0 Smart Cities<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23110\">So s\u00e1nh s\u1ee9c m\u1ea1nh c\u1ee7a m\u00e1y t\u00ednh AI DGX Spark v\u1edbi c\u00e1c card GPU m\u00e1y tr\u1ea1m chuy\u00ean nghi\u1ec7p c\u1ee7a NVIDIA<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22969\">T\u1eeb Orin \u0111\u1ebfn Thor: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt ki\u1ebfn tr\u00fac c\u1ee7a NVIDIA JetPack 7.0 v\u00e0 t\u01b0\u01a1ng lai c\u1ee7a robot h\u00ecnh ng\u01b0\u1eddi<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Th&#7871; gi&#7899;i c&ocirc;ng ngh&#7879; &#273;ang ch&#7913;ng ki&#7871;n m&#7897;t b&#432;&#7899;c chuy&#7875;n d&#7883;ch v&#297; &#273;&#7841;i khi tr&iacute; tu&#7879; nh&acirc;n t&#7841;o kh&ocirc;ng c&ograve;n xa v&#7901;i tr&ecirc;n c&aacute;c &#273;&aacute;m m&acirc;y trung t&acirc;m d&#7919; li&#7879;u, m&agrave; &#273;&atilde; ch&iacute;nh th&#7913;c g&otilde; c&#7917;a t&#7915;ng thi&#7871;t b&#7883; c&aacute; nh&acirc;n t&#7841;i c&#7853;n bi&ecirc;n. T&#7841;i s&#7921; ki&#7879;n GTC 2026 &#7903; &#272;&agrave;i Loan, NVIDIA c&ugrave;ng c&aacute;c&#8230;<\/p>\n","protected":false},"author":27,"featured_media":23423,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3,1153,1],"tags":[1362,1314,1254,1377],"class_list":["post-23415","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","category-tin-tuc","category-tong-hop","tag-dgxspark","tag-nvidia","tag-nvidia-blackwell","tag-rtxspark"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>B\u01b0\u1edbc v\u00e0o k\u1ef7 nguy\u00ean tr\u1ee3 l\u00fd AI c\u00e1 nh\u00e2n - so s\u00e1nh chi ti\u1ebft NVIDIA RTX Spark v\u00e0 DGX Spark - Blog | TheGioiMayChu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/buoc-vao-ky-nguyen-tro-ly-ai-ca-nhan-so-sanh-chi-tiet-nvidia-rtx-spark-va-dgx-spark-p23415\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"B\u01b0\u1edbc v\u00e0o k\u1ef7 nguy\u00ean tr\u1ee3 l\u00fd AI c\u00e1 nh\u00e2n - so s\u00e1nh chi ti\u1ebft NVIDIA RTX Spark v\u00e0 DGX Spark - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"Th&#7871; gi&#7899;i c&ocirc;ng ngh&#7879; &#273;ang ch&#7913;ng ki&#7871;n m&#7897;t b&#432;&#7899;c chuy&#7875;n d&#7883;ch v&#297; &#273;&#7841;i khi tr&iacute; tu&#7879; nh&acirc;n t&#7841;o kh&ocirc;ng c&ograve;n xa v&#7901;i tr&ecirc;n c&aacute;c &#273;&aacute;m m&acirc;y trung t&acirc;m d&#7919; li&#7879;u, m&agrave; &#273;&atilde; ch&iacute;nh th&#7913;c g&otilde; c&#7917;a t&#7915;ng thi&#7871;t b&#7883; c&aacute; nh&acirc;n t&#7841;i c&#7853;n bi&ecirc;n. 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