{"id":7173,"date":"2020-10-12T09:09:19","date_gmt":"2020-10-12T09:09:19","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=7173"},"modified":"2020-10-12T09:16:37","modified_gmt":"2020-10-12T09:16:37","slug":"ban-ve-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/ban-ve-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-p7173\/","title":{"rendered":"B\u00e0n v\u1ec1 GPU cho Deep Learning &#8211; RTX 3090, RTX 3080 v\u00e0 RTX 3070"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>N\u1ebfu b\u1ea1n \u0111ang ngh\u0129 \u0111\u1ebfn vi\u1ec7c x\u00e2y d\u1ef1ng m\u00e1y tr\u1ea1m trang b\u1ecb d\u00f2ng GPU RTX 30XX cho ri\u00eang m\u00ecnh, h\u00e3y \u0111\u1ecdc ti\u1ebfp.\u00a0Trong b\u00e0i \u0111\u0103ng n\u00e0y, ch\u00fang t\u00f4i b\u00e0n v\u1ec1 k\u00edch th\u01b0\u1edbc, s\u1ee9c m\u1ea1nh, kh\u1ea3 n\u0103ng l\u00e0m m\u00e1t v\u00e0 hi\u1ec7u n\u0103ng c\u1ee7a nh\u1eefng GPU m\u1edbi n\u00e0y.\u00a0Nh\u01b0ng tr\u01b0\u1edbc ti\u00ean, ch\u00fang t\u00f4i s\u1ebd tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi ph\u1ed5 bi\u1ebfn nh\u1ea5t:<\/p>\n<h3>T\u00f4i c\u00f3 th\u1ec3 l\u1eafp \u0111\u01b0\u1ee3c bao nhi\u00eau card GPU RTX 30XX v\u00e0o m\u00e1y tr\u1ea1m c\u1ee7a m\u00ecnh?<\/h3>\n<p>M\u00e1y tr\u1ea1m c\u1ee7a b\u1ea1n kh\u00f4ng \u0111\u01b0\u1ee3c v\u01b0\u1ee3t qu\u00e1:<\/p>\n<ul>\n<li>2x RTX 3090\u00a0&#8211; c\u00f3 th\u1ec3 \u0111\u1ebfn 3x v\u1edbi b\u1ed9 l\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng \/ b\u1ed9 m\u1edf r\u1ed9ng PCIe*;\u00a04x kh\u00f4ng \u0111\u01b0\u1ee3c khuy\u1ebfn kh\u00edch v\u00ec n\u00f3 s\u1ebd y\u00eau c\u1ea7u hai PSU \u0111\u01b0\u1ee3c c\u1eafm v\u00e0o c\u00e1c board ri\u00eang bi\u1ec7t ho\u1eb7c trang b\u1ecb th\u00eam thi\u1ebft k\u1ebf ngu\u1ed3n ri\u00eang c\u1ee7a b\u1ea1n.<\/li>\n<li>2x RTX 3080\u00a0&#8211; 3x c\u00f3 th\u1ec3 s\u1ebd y\u00eau c\u1ea7u l\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng \/ b\u1ed9 m\u1edf r\u1ed9ng PCIe * \u0111\u1ec3 tr\u00e1nh \u0111i\u1ec1u ti\u1ebft;\u00a04x kh\u00f4ng \u0111\u01b0\u1ee3c khuy\u1ebfn kh\u00edch v\u00ec n\u00f3 s\u1ebd y\u00eau c\u1ea7u hai PSU \u0111\u01b0\u1ee3c c\u1eafm v\u00e0o c\u00e1c m\u1ea1ch ri\u00eang bi\u1ec7t ho\u1eb7c trang b\u1ecb th\u00eam thi\u1ebft l\u1eadp \u0111i\u1ec7n c\u1ee7a b\u1ea1n.<\/li>\n<li>4x RTX 3070\u00a0&#8211; \u0111i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 y\u00eau c\u1ea7u\u00a0card phi\u00ean b\u1ea3n blower.<\/li>\n<\/ul>\n<p>* B\u1ed9 m\u1edf r\u1ed9ng\u00a0<em>PCIe g\u00e2y ra c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 c\u1ea5u tr\u00fac v\u00e0 kh\u00f4ng n\u00ean s\u1eed d\u1ee5ng n\u1ebfu b\u1ea1n \u0111\u1ecbnh di chuy\u1ec3n (\u0111\u1eb7c bi\u1ec7t l\u00e0 v\u1eadn chuy\u1ec3n \u0111i xa) m\u00e1y tr\u1ea1m.<\/em><\/p>\n<h2>C\u00e1c GPU n\u00e0y l\u1edbn \u0111\u1ebfn m\u1ee9c n\u00e0o?<\/h2>\n<ul>\n<li>RTX 3090\u00a0&#8211; 3 khe PCIe, d\u00e0i 313mm<\/li>\n<li>RTX 3080\u00a0&#8211; 2x khe PCIe *, d\u00e0i 266mm<\/li>\n<li>RTX 3070\u00a0&#8211; 2x khe PCIe *, d\u00e0i 242mm<\/li>\n<\/ul>\n<p>K\u00edch th\u01b0\u1edbc c\u1ee7a RTX 3090 c\u00f3 v\u1ebb kh\u00f4ng ch\u00ednh th\u1ed1ng: n\u00f3 chi\u1ebfm 3 khe c\u1eafm PCIe v\u00e0 chi\u1ec1u d\u00e0i c\u1ee7a n\u00f3 s\u1ebd khi\u1ebfn n\u00f3 kh\u00f4ng ph\u00f9 h\u1ee3p v\u1edbi nhi\u1ec1u case PC.\u00a0RTX 3070 v\u00e0 RTX 3080 c\u00f3 k\u00edch th\u01b0\u1edbc ti\u00eau chu\u1ea9n, t\u01b0\u01a1ng t\u1ef1 nh\u01b0 RTX 2080 Ti.<\/p>\n<p>* C\u00e1c\u00a0<em>OEM nh\u01b0 PNY, <a class=\"iblink\" href=\"\/asus\/\">ASUS<\/a>, GIGABYTE v\u00e0 EVGA s\u1ebd ph\u00e1t h\u00e0nh c\u00e1c m\u1eabu GPU d\u00f2ng 30XX c\u1ee7a ri\u00eang h\u1ecd.\u00a0M\u1ed9t s\u1ed1 m\u1eabu RTX 3080 v\u00e0 RTX 3070 s\u1eafp ra m\u1eaft s\u1ebd chi\u1ebfm 2,7 khe PCIe.<\/em><\/p>\n<h2>C\u00e1c GPU n\u00e0y s\u1eed d\u1ee5ng bao nhi\u00eau \u0111i\u1ec7n n\u0103ng?<\/h2>\n<p>C\u00e1c GPU d\u00f2ng 3000 ti\u00eau th\u1ee5 nhi\u1ec1u \u0111i\u1ec7n n\u0103ng h\u01a1n c\u00e1c th\u1ebf h\u1ec7 tr\u01b0\u1edbc:<\/p>\n<ul>\n<li>RTX 3090\u00a0&#8211; 350W (nhi\u1ec1u h\u01a1n 40% so v\u1edbi RTX 2080 Ti)<\/li>\n<li>RTX 3080\u00a0&#8211; 320W (nhi\u1ec1u h\u01a1n 28% so v\u1edbi RTX 2080 Ti)<\/li>\n<li>RTX 3070\u00a0&#8211; 220W (88% c\u1ee7a RTX 2080 Ti)<\/li>\n<\/ul>\n<p>\u0110\u1ec3 tham kh\u1ea3o, RTX 2080 Ti ti\u00eau th\u1ee5 250W.<\/p>\n<h3>C\u00e1c GPU n\u00e0y c\u00f3 th\u1ec3 l\u00e0m qu\u00e1 t\u1ea3i m\u1ea1ch c\u1ee7a b\u1ea1n (ho\u1eb7c l\u00e0m ch\u00e1y lu\u00f4n PSU!)<\/h3>\n<p>M\u1ee9c ti\u00eau th\u1ee5 \u0111i\u1ec7n c\u1ee7a m\u00e1y tr\u1ea1m c\u1ee7a b\u1ea1n kh\u00f4ng \u0111\u01b0\u1ee3c v\u01b0\u1ee3t qu\u00e1 c\u00f4ng su\u1ea5t c\u1ee7a PSU ho\u1eb7c c\u00e1c board m\u00e0 n\u00f3 \u0111\u01b0\u1ee3c c\u1eafm v\u00e0o.<\/p>\n<h4>C\u00e1c gi\u1edbi h\u1ea1n c\u1ee7a m\u1ea1ch<\/h4>\n<ol>\n<li>C\u00e1c chu\u1ea9n \u1ed5 c\u1eafm th\u00f4ng d\u1ee5ng c\u00f3 th\u1ec3 cung c\u1ea5p \u0111\u1ebfn 8 ampe \u1edf \u0111i\u1ec7n th\u1ebf 220V.<\/li>\n<li>B\u1ed9 lu\u1eadt \u0111i\u1ec7n qu\u1ed1c gia quy\u00a0\u0111\u1ecbnh r\u1eb1ng t\u1ea3i m\u1ea1ch c\u1ee7a thi\u1ebft b\u1ecb \u0111i\u1ec7n kh\u00f4ng \u0111\u01b0\u1ee3c v\u01b0\u1ee3t qu\u00e1 80%.<\/li>\n<li>(1), (2), t\u01b0\u01a1ng \u0111\u01b0\u01a1ng v\u1edbi m\u1ee9c t\u1ea3i thi\u1ebft b\u1ecb t\u1ea1i nh\u00e0 \/ v\u0103n ph\u00f2ng c\u1ee7a \u1edf Vi\u1ec7t Nam kh\u00f4ng \u0111\u01b0\u1ee3c v\u01b0\u1ee3t qu\u00e1 1408W = 8A * 220v * 0,8 h\u1ec7 s\u1ed1 \u0111\u1ecbnh m\u1ee9c.<\/li>\n<\/ol>\n<p>Ph\u00e2n t\u00edch tr\u00ean g\u1ee3i \u00fd ra c\u00e1c gi\u1edbi h\u1ea1n sau:<\/p>\n<ul>\n<li>3x RTX 3090 \/ m\u1ed7i \u1ed5 c\u1eafm<\/li>\n<li>3x RTX 3080 \/ m\u1ed7i \u1ed5 c\u1eafm<\/li>\n<li>5x RTX 3070 \/ m\u1ed7i \u1ed5 c\u1eafm (m\u1eb7c d\u00f9 kh\u00f4ng c\u00f3 case PC n\u00e0o c\u00f3 PCIe 4.0 c\u00f3 th\u1ec3 l\u1eafp h\u01a1n 4x)<\/li>\n<\/ul>\n<p>V\u00ed d\u1ee5, ch\u00fang ta h\u00e3y xem t\u1ea1i sao m\u1ed9t m\u00e1y tr\u1ea1m v\u1edbi b\u1ed1n RTX 3090 v\u00e0 m\u1ed9t b\u1ed9 x\u1eed l\u00fd cao c\u1ea5p l\u00e0 kh\u00f4ng th\u1ef1c t\u1ebf:<\/p>\n<ul>\n<li>4x RTX 3090 = 4 * 350W = 1400W<\/li>\n<li>1x Threadripper 3960X = 280W<\/li>\n<li>1x bo m\u1ea1ch ch\u1ee7 = 80W<\/li>\n<\/ul>\n<p>GPU + CPU + bo m\u1ea1ch ch\u1ee7 ti\u00eau th\u1ee5 1760W, v\u01b0\u1ee3t xa gi\u1edbi h\u1ea1n m\u1ea1ch 1408W.<\/p>\n<h4>H\u1ea1n ch\u1ebf c\u1ee7a PSU<\/h4>\n<p>M\u00e1y tr\u1ea1m \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 cao nh\u1ea5t tr\u00ean th\u1ecb tr\u01b0\u1eddng cung c\u1ea5p t\u1ed1i \u0111a 1600W \u1edf \u0111i\u1ec7n \u00e1p ti\u00eau chu\u1ea9n gia \u0111\u00ecnh \/ v\u0103n ph\u00f2ng.\u00a0C\u00e1c PSU m\u00e1y tr\u1ea1m v\u01b0\u1ee3t qu\u00e1 kh\u1ea3 n\u0103ng n\u00e0y l\u00e0 kh\u00f4ng th\u1ef1c t\u1ebf v\u00ec ch\u00fang s\u1ebd l\u00e0m qu\u00e1 t\u1ea3i nhi\u1ec1u bo m\u1ea1ch.\u00a0Ngay c\u1ea3 khi t\u1ea1i nh\u00e0 \/ v\u0103n ph\u00f2ng c\u1ee7a b\u1ea1n c\u00f3 m\u1ea1ch \u0111i\u1ec7n c\u00f3 c\u01b0\u1eddng \u0111\u1ed9 d\u00f2ng \u0111i\u1ec7n cao h\u01a1n, ch\u00fang t\u00f4i khuy\u00ean b\u1ea1n kh\u00f4ng n\u00ean s\u1eed d\u1ee5ng c\u00e1c m\u00e1y tr\u1ea1m v\u01b0\u1ee3t qu\u00e1 1408W.\u00a0PSU c\u00f3 th\u1ec3 c\u00f3 \u0111\u1ecbnh m\u1ee9c 1600W, nh\u01b0ng ch\u00fang t\u00f4i nh\u1eadn th\u1ea5y t\u1ef7 l\u1ec7 PSU b\u1ecb l\u1ed7i cao h\u01a1n khi m\u1ee9c ti\u00eau th\u1ee5 \u0111i\u1ec7n c\u1ee7a m\u00e1y tr\u1ea1m \u0111\u1ea1t \u0111\u1ebfn 1500W.<\/p>\n<h3>C\u00f3 c\u00e1ch gi\u1ea3i quy\u1ebft n\u00e0o cho nh\u1eefng h\u1ea1n ch\u1ebf v\u1ec1 ngu\u1ed3n \u0111i\u1ec7n t\u1ea1i nh\u00e0 \/ v\u0103n ph\u00f2ng kh\u00f4ng?<\/h3>\n<p>C\u00f3, m\u1eb7c d\u00f9 ch\u00fang t\u00f4i khuy\u00ean b\u1ea1n kh\u00f4ng n\u00ean:<\/p>\n<ul>\n<li>X\u00e2y d\u1ef1ng m\u1ed9t PC v\u1edbi hai PSU \u0111\u01b0\u1ee3c c\u1eafm v\u00e0o hai \u1ed5 c\u1eafm tr\u00ean c\u00e1c m\u1ea1ch ri\u00eang bi\u1ec7t.<\/li>\n<li>Trang b\u1ecb th\u00eam thi\u1ebft l\u1eadp \u0111i\u1ec7n c\u1ee7a b\u1ea1n \u0111\u1ec3 cung c\u1ea5p ngu\u1ed3n \u0111i\u1ec7n 240V, 3 pha ho\u1eb7c m\u1ea1ch c\u00f3 amp cao h\u01a1n.<\/li>\n<li>Di chuy\u1ec3n m\u00e1y tr\u1ea1m c\u1ee7a b\u1ea1n \u0111\u1ebfn trung t\u00e2m d\u1eef li\u1ec7u v\u1edbi ngu\u1ed3n \u0111i\u1ec7n 3 pha (\u0111i\u1ec7n \u00e1p cao).<\/li>\n<\/ul>\n<p>C\u1ea3nh b\u00e1o:\u00a0Tham kh\u1ea3o \u00fd ki\u1ebfn \u200b\u200bc\u1ee7a th\u1ee3 \u0111i\u1ec7n tr\u01b0\u1edbc khi s\u1eeda \u0111\u1ed5i thi\u1ebft l\u1eadp \u0111i\u1ec7n trong nh\u00e0 ho\u1eb7c v\u0103n ph\u00f2ng c\u1ee7a b\u1ea1n.<\/p>\n<h2>T\u00f4i n\u00ean l\u00e0m m\u00e1t m\u00e1y tr\u1ea1m c\u1ee7a m\u00ecnh nh\u01b0 th\u1ebf n\u00e0o?<\/h2>\n<p>C\u00e1c \u0111\u1ec1 xu\u1ea5t l\u00e0m m\u00e1t c\u1ee7a ch\u00fang t\u00f4i cho c\u00e1c <a class=\"iblink\" href=\"\/server\/gpu-system\/\">m\u00e1y tr\u1ea1m GPU<\/a> 1x, 2x, 3x v\u00e0 4x:<\/p>\n<p>RTX 3090<\/p>\n<ul>\n<li>1x\u00a0&#8211;\u00a0Kh\u00f4ng c\u1ea7n quan t\u00e2m.<\/li>\n<li>2x\u00a0&#8211; S\u1eed d\u1ee5ng GPU ti\u00eau chu\u1ea9n, kh\u00f4ng c\u00f3 qu\u1ea1t gi\u00f3, qu\u1ea1t th\u00f9ng l\u1edbn, t\u1ea5m ch\u1eafn kh\u00ed v\u00e0 c\u00f3 m\u1ed9t k\u00eanh tr\u1ed1ng r\u1ed9ng \u00edt nh\u1ea5t 2x khe PCIe gi\u1eefa c\u00e1c GPU.<\/li>\n<li>3x\u00a0&#8211; Ch\u01b0a \u0111\u01b0\u1ee3c khuy\u1ebfn kh\u00edch.\u00a0L\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng, nh\u01b0ng \u0111i\u1ec1u n\u00e0y c\u1ea7n th\u1eed nghi\u1ec7m.<\/li>\n<li>4x\u00a0&#8211; Kh\u00f4ng th\u1ef1c t\u1ebf do c\u00e1c h\u1ea1n ch\u1ebf v\u1ec1 ngu\u1ed3n \u0111i\u1ec7n \u0111\u00e3 \u0111\u1ec1 c\u1eadp \u1edf tr\u00ean.<\/li>\n<\/ul>\n<p>RTX 3080<\/p>\n<ul>\n<li>1x\u00a0&#8211; Kh\u00f4ng c\u1ea7n quan t\u00e2m.<\/li>\n<li>2x\u00a0&#8211;\u00a0S\u1eed d\u1ee5ng GPU ti\u00eau chu\u1ea9n, kh\u00f4ng c\u00f3 qu\u1ea1t gi\u00f3, qu\u1ea1t th\u00f9ng l\u1edbn, t\u1ea5m ch\u1eafn kh\u00ed v\u00e0 c\u00f3 m\u1ed9t k\u00eanh tr\u1ed1ng r\u1ed9ng \u00edt nh\u1ea5t 2x khe PCIe gi\u1eefa c\u00e1c GPU.<\/li>\n<li>3x\u00a0&#8211;\u00a0Ch\u01b0a \u0111\u01b0\u1ee3c khuy\u1ebfn kh\u00edch.\u00a0L\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng, nh\u01b0ng \u0111i\u1ec1u n\u00e0y c\u1ea7n th\u1eed nghi\u1ec7m.<\/li>\n<li>4x\u00a0&#8211; Kh\u00f4ng th\u1ef1c t\u1ebf do c\u00e1c h\u1ea1n ch\u1ebf v\u1ec1 ngu\u1ed3n \u0111i\u1ec7n \u0111\u00e3 \u0111\u1ec1 c\u1eadp \u1edf tr\u00ean.<\/li>\n<\/ul>\n<p>RTX 3070<\/p>\n<ul>\n<li>1x\u00a0&#8211;\u00a0Kh\u00f4ng c\u1ea7n quan t\u00e2m.<\/li>\n<li>2x \/ 3x\u00a0&#8211;\u00a0N\u1ebfu kh\u00f4ng s\u1eed d\u1ee5ng card phi\u00ean b\u1ea3n blower, h\u00e3y ch\u1eeba m\u1ed9t k\u00eanh tr\u1ed1ng r\u1ed9ng \u00edt nh\u1ea5t 1x khe PCIe gi\u1eefa c\u00e1c GPU.\u00a0S\u1eed d\u1ee5ng lo\u1ea1i qu\u1ea1t l\u1edbn.<\/li>\n<li>4x\u00a0&#8211; C\u00f3 th\u1ec3 y\u00eau c\u1ea7u card phi\u00ean b\u1ea3n blower, nh\u01b0ng \u0111i\u1ec1u n\u00e0y c\u1ea7n th\u1eed nghi\u1ec7m.<\/li>\n<\/ul>\n<h3>GPU d\u1ea1ng blower v\u00e0 non-blower (ti\u00eau chu\u1ea9n)<\/h3>\n<p>Card blower h\u00fat kh\u00f4ng kh\u00ed t\u1eeb b\u00ean trong v\u00e0 th\u1ea3i ra ph\u00eda sau th\u00f9ng m\u00e1y;\u00a0\u0111i\u1ec1u n\u00e0y tr\u00e1i ng\u01b0\u1ee3c v\u1edbi c\u00e1c card ti\u00eau chu\u1ea9n gi\u00fap tho\u00e1t kh\u00ed n\u00f3ng v\u00e0o v\u1ecf m\u00e1y. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 h\u00ecnh \u1ea3nh c\u1ee7a hai lo\u1ea1i:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"960\" height=\"540\" class=\"alignnone wp-image-7179 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070.png 960w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-300x169.png 300w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-768x432.png 768w\" sizes=\"auto, (max-width: 960px) 100vw, 960px\" \/><\/p>\n<p>Card blower hi\u1ec7n \u0111ang ph\u1ea3i \u0111\u1ed1i m\u1eb7t v\u1edbi nh\u1eefng th\u00e1ch th\u1ee9c v\u1ec1 nhi\u1ec7t do m\u1ee9c ti\u00eau th\u1ee5 \u0111i\u1ec7n n\u0103ng cao c\u1ee7a d\u00f2ng 3000.\u00a0Ch\u00fang t\u00f4i ho\u00e0n to\u00e0n trong \u0111\u1ee3i v\u00e0o card blower RTX 3070, nh\u01b0ng kh\u00f4ng ch\u1eafc ch\u1eafn \u0111\u1ed1i v\u1edbi 2 m\u1eabu RTX 3080 v\u00e0 RTX 3090.<\/p>\n<h3>L\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng th\u00ec sao?<\/h3>\n<p>L\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng s\u1ebd gi\u1ea3m ti\u1ebfng \u1ed3n v\u00e0 m\u1ee9c nhi\u1ec7t.\u00a0Hi\u1ec7n v\u1eabn ch\u01b0a r\u00f5 li\u1ec7u l\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng c\u00f3 x\u1ee9ng \u0111\u00e1ng v\u1edbi chi ph\u00ed, \u0111\u1ed9 ph\u1ee9c t\u1ea1p v\u00e0 t\u1ef7 l\u1ec7 h\u1ecfng h\u00f3c gia t\u0103ng hay kh\u00f4ng.\u00a0Ch\u00fang t\u00f4i s\u1ebd th\u1eed nghi\u1ec7m l\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng trong th\u1eddi gian t\u1edbi v\u00e0 c\u1eadp nh\u1eadt ph\u1ea7n n\u00e0y cho ph\u00f9 h\u1ee3p.<\/p>\n<h3>GPU s\u1ebd th\u1eadt s\u1ef1 t\u0103ng t\u1ed1c?<\/h3>\n<p>Khi nhi\u1ec7t \u0111\u1ed9 c\u1ee7a GPU v\u01b0\u1ee3t qu\u00e1 ng\u01b0\u1ee1ng \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh tr\u01b0\u1edbc, n\u00f3 s\u1ebd t\u1ef1 \u0111\u1ed9ng gi\u1ea3m xung nh\u1ecbp (\u0111i\u1ec1u ti\u1ebft) \u0111\u1ec3 tr\u00e1nh thi\u1ec7t h\u1ea1i do nhi\u1ec7t.\u00a0Downclocking bi\u1ec3u hi\u1ec7n b\u1eb1ng s\u1ef1 ch\u1eadm l\u1ea1i c\u1ee7a th\u00f4ng l\u01b0\u1ee3ng training.\u00a0V\u1edbi c\u00e1c thi\u1ebft l\u1eadp \u0111a GPU, n\u1ebfu vi\u1ec7c l\u00e0m m\u00e1t kh\u00f4ng \u0111\u01b0\u1ee3c ki\u1ec3m so\u00e1t \u0111\u00fang c\u00e1ch, th\u00ec kh\u1ea3 n\u0103ng \u0111i\u1ec1u ti\u1ebft hi\u1ec7u su\u1ea5t l\u00e0 c\u00f3 th\u1eadt. C\u00e1c h\u00e3ng m\u00e1y ch\u1ee7 nh\u01b0 <a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a> \u0111\u00e3 thi\u1ebft k\u1ebf c\u00e1c m\u1eabu m\u00e1y tr\u1ea1m, <a class=\"iblink\" href=\"\/server\/gpu-system\/\">m\u00e1y ch\u1ee7 GPU<\/a> chuy\u00ean d\u1ee5ng c\u00f3 th\u1ec3 tr\u00e1nh \u0111\u01b0\u1ee3c vi\u1ec7c \u0111i\u1ec1u ti\u1ebft, nh\u01b0ng n\u1ebfu b\u1ea1n \u0111ang x\u00e2y d\u1ef1ng cho ri\u00eang m\u00ecnh, c\u00f3 th\u1ec3 m\u1ea5t kh\u00e1 nhi\u1ec1u th\u1eddi gian th\u1eed nghi\u1ec7m tr\u01b0\u1edbc khi b\u1ea1n \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t nh\u01b0 mong mu\u1ed1n.<\/p>\n<h2>Hi\u1ec7u su\u1ea5t &amp; Chi ph\u00ed<\/h2>\n<p>D\u00f2ng RTX 3000 m\u1edbi cung c\u1ea5p m\u1ed9t s\u1ed1 c\u1ea3i ti\u1ebfn s\u1ebd d\u1eabn \u0111\u1ebfn nh\u1eefng g\u00ec ch\u00fang t\u00f4i mong \u0111\u1ee3i l\u00e0 m\u1ed9t b\u01b0\u1edbc nh\u1ea3y c\u1ef1c k\u1ef3 \u1ea5n t\u01b0\u1ee3ng v\u1ec1 hi\u1ec7u su\u1ea5t.\u00a0N\u00f3 \u0111\u01b0\u1ee3c k\u1ef3 v\u1ecdng s\u1ebd c\u00f2n r\u00f5 r\u1ec7t h\u01a1n tr\u00ean c\u01a1 s\u1edf ch\u1ec9 s\u1ed1 FLOP \/ m\u1ed7i \u0111\u00f4 la.<\/p>\n<h3>GPU m\u1edbi ch\u1ea1y m\u00f4 h\u00ecnh Deep Learning c\u1ee5 th\u1ec3 c\u1ee7a t\u00f4i t\u1ed1t nh\u01b0 th\u1ebf n\u00e0o?<\/h3>\n<p>Ch\u00fang t\u00f4i ch\u01b0a c\u00f3 \u0111i\u1ec3m benchmark c\u1ee7a b\u00ean th\u1ee9 3.\u00a0Tuy nhi\u00ean, ch\u00fang t\u00f4i k\u1ef3 v\u1ecdng s\u1ebd th\u1ea5y m\u1ed9t b\u01b0\u1edbc nh\u1ea3y v\u1ecdt v\u1ec1 hi\u1ec7u su\u1ea5t cho RTX 3090 so v\u1edbi RTX 2080 Ti v\u00ec n\u00f3 c\u00f3 s\u1ed1 l\u01b0\u1ee3ng l\u00f5i CUDA nhi\u1ec1u h\u01a1n g\u1ea5p \u0111\u00f4i, s\u1ed1 l\u01b0\u1ee3ng h\u01a1n 10.000!\u00a0Ch\u00fang t\u00f4i c\u0169ng mong \u0111\u1ee3i nh\u1eefng c\u1ea3i thi\u1ec7n v\u1ec1 hi\u1ec7u su\u1ea5t cho RTX 3080 v\u00e0 th\u1eadm ch\u00ed l\u00e0 RTX 3070 so v\u1edbi\u00a0 2080 Ti.<\/p>\n<h3>GPU m\u1edbi hi\u1ec7u qu\u1ea3 v\u1ec1 chi ph\u00ed nh\u01b0 th\u1ebf n\u00e0o?<\/h3>\n<p>Nh\u00ecn b\u1ec1 ngo\u00e0i, ch\u00fang ta n\u00ean mong \u0111\u1ee3i GPU RTX 3000 c\u1ef1c k\u1ef3 hi\u1ec7u qu\u1ea3 v\u1ec1 chi ph\u00ed.\u00a0Ngay c\u1ea3 \u1edf m\u1ee9c 1,499 USD cho phi\u00ean b\u1ea3n Founders Edition, 3090 v\u1eabn cung c\u1ea5p 10496 l\u00f5i CUDA kh\u1ed5ng l\u1ed3 v\u00e0 24GB VRAM.\u00a0M\u1eb7c d\u00f9 \u1edf c\u1ea5p th\u1ea5p, ch\u00fang t\u00f4i hy v\u1ecdng 3070 ch\u1ec9 \u1edf m\u1ee9c 499 USD v\u1edbi 5888 l\u00f5i CUDA v\u00e0 8 GB VRAM s\u1ebd mang l\u1ea1i hi\u1ec7u su\u1ea5t <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">Deep Learning<\/a> t\u01b0\u01a1ng \u0111\u01b0\u01a1ng v\u1edbi th\u1eadm ch\u00ed c\u1ea3 flagship 2080 Ti tr\u01b0\u1edbc \u0111\u00f3 cho nhi\u1ec1u ki\u1ec3u m\u00e1y.<\/p>\n<h3>PCIe Gen 4.0 tr\u1ee3 gi\u00fap nh\u01b0 th\u1ebf n\u00e0o?<\/h3>\n<p>Trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o h\u1ecdc s\u00e2u \/ <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">deep learning<\/a> song song, b\u0103ng th\u00f4ng gi\u1eefa GPU-GPU v\u00e0 GPU-CPU c\u00f3 th\u1ec3 tr\u1edf th\u00e0nh m\u1ed9t n\u00fat th\u1eaft c\u1ed5 chai l\u1edbn.\u00a0PCIe 4.0 t\u0103ng g\u1ea5p \u0111\u00f4i th\u00f4ng l\u01b0\u1ee3ng hai chi\u1ec1u l\u00fd thuy\u1ebft c\u1ee7a PCIe 3.0 t\u1eeb 32 GB\/s l\u00ean 64 GB\/s v\u00e0 trong th\u1ef1c t\u1ebf trong c\u00e1c b\u00e0i ki\u1ec3m tra v\u1edbi c\u00e1c card PCIe Gen 4.0 kh\u00e1c, ch\u00fang t\u00f4i th\u1ea5y th\u00f4ng l\u01b0\u1ee3ng quan s\u00e1t \u0111\u01b0\u1ee3c t\u1eeb GPU \u0111\u1ebfn GPU t\u0103ng g\u1ea7n 54,2% v\u00e0 60,7% t\u0103ng th\u00f4ng l\u01b0\u1ee3ng t\u1eeb CPU \u0111\u1ebfn GPU.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"2000\" height=\"1139\" class=\"alignnone wp-image-7180 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-1.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-1.png 2000w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-1-300x171.png 300w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-1-768x437.png 768w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-lua-chon-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-1-1024x583.png 1024w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\" \/><\/p>\n<h3>GPU RTX 3000 series m\u1edbi c\u00f3 h\u1ed7 tr\u1ee3 NVLink kh\u00f4ng?<\/h3>\n<p>RTX 3090 l\u00e0 GPU duy nh\u1ea5t h\u1ed7 tr\u1ee3 NVLink.\u00a0M\u1eb7c d\u00f9 ch\u00fang t\u00f4i ch\u01b0a c\u00f3 th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt ch\u00ednh x\u00e1c, nh\u01b0ng n\u1ebfu n\u00f3 h\u1ed7 tr\u1ee3 c\u00f9ng s\u1ed1 l\u01b0\u1ee3ng k\u1ebft n\u1ed1i NVLink nh\u01b0 GPU A100 PCIe \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 g\u1ea7n \u0111\u00e2y, b\u1ea1n c\u00f3 th\u1ec3 mong \u0111\u1ee3i 600 GB\/s b\u0103ng th\u00f4ng hai chi\u1ec1u so v\u1edbi 64 GB\/s cho PCIe 4.0 gi\u1eefa c\u00e1c card 3090.<\/p>\n<p>Tuy nhi\u00ean, \u0111i\u1ec1u quan tr\u1ecdng c\u1ea7n l\u01b0u \u00fd l\u00e0 m\u1eb7c d\u00f9 s\u1ebd c\u00f3 k\u1ebft n\u1ed1i c\u1ef1c nhanh gi\u1eefa ch\u00fang nh\u01b0ng kh\u00f4ng l\u00e0m cho GPU tr\u1edf th\u00e0nh m\u1ed9t \u201csi\u00eau GPU\u201d.\u00a0B\u1ea1n v\u1eabn s\u1ebd ph\u1ea3i vi\u1ebft c\u00e1c m\u00f4 h\u00ecnh c\u1ee7a m\u00ecnh \u0111\u1ec3 h\u1ed7 tr\u1ee3 nhi\u1ec1u GPU.<\/p>\n<h2>T\u00f3m l\u1ea1i<\/h2>\n<p>\u0110i\u1ec1u quan tr\u1ecdng l\u00e0 ph\u1ea3i t\u00ednh \u0111\u1ebfn kh\u00f4ng gian c\u00f3 s\u1eb5n, ngu\u1ed3n \u0111i\u1ec7n, kh\u1ea3 n\u0103ng l\u00e0m m\u00e1t v\u00e0 hi\u1ec7u su\u1ea5t t\u01b0\u01a1ng \u0111\u1ed1i khi quy\u1ebft \u0111\u1ecbnh lo\u1ea1i th\u1ebb n\u00e0o s\u1ebd \u0111\u01b0a v\u00e0o m\u00e1y tr\u1ea1m h\u1ecdc s\u00e2u ti\u1ebfp theo c\u1ee7a b\u1ea1n.\u00a0Nh\u1eefng v\u1ea5n \u0111\u1ec1 l\u1edbn nh\u1ea5t b\u1ea1n s\u1ebd ph\u1ea3i \u0111\u1ed1i m\u1eb7t khi x\u00e2y d\u1ef1ng m\u00e1y tr\u1ea1m c\u1ee7a m\u00ecnh s\u1ebd l\u00e0:<\/p>\n<ul>\n<li>Kh\u00f4ng gian khe c\u1eafm PCIe kh\u1ea3 d\u1ee5ng khi s\u1eed d\u1ee5ng RTX 3090 ho\u1eb7c 3x RTX 3080<\/li>\n<li>Ngu\u1ed3n \u0111i\u1ec7n kh\u1ea3 d\u1ee5ng khi s\u1eed d\u1ee5ng RTX 3090 ho\u1eb7c RTX 3080 trong c\u00e1c c\u1ea5u h\u00ecnh \u0111a GPU<\/li>\n<li>Nhi\u1ec7t d\u01b0 t\u00edch t\u1ee5 gi\u1eefa c\u00e1c card trong c\u1ea5u h\u00ecnh \u0111a GPU do TDP cao h\u01a1n<\/li>\n<\/ul>\n<p>Ch\u1eafc ch\u1eafn b\u1ea1n c\u00f3 th\u1ec3 t\u1ef1 m\u00ecnh x\u00e2y d\u1ef1ng m\u1ed9t trong nh\u1eefng m\u00e1y tr\u1ea1m n\u00e0y, nh\u01b0ng n\u1ebfu b\u1ea1n mu\u1ed1n tr\u00e1nh r\u1eafc r\u1ed1i v\u00e0 c\u00e0i \u0111\u1eb7t s\u1eb5n n\u00f3 v\u1edbi c\u00e1c driver v\u00e0 framework b\u1ea1n c\u1ea7n \u0111\u1ebfn, Nh\u1ea5t Ti\u1ebfn Chung lu\u00f4n c\u00f3 c\u00e1c gi\u1ea3i ph\u00e1p \u0111\u01b0\u1ee3c h\u00e3ng (<a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a>) x\u00e1c nh\u1eadn, c\u1ea5u h\u00ecnh v\u00e0 s\u1eb5n s\u00e0ng chuy\u1ec3n giao cho kh\u00e1ch h\u00e0ng \u0111\u1ec3 ch\u1ea1y ngay.<\/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=23415\">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<\/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<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22887\">T\u1ea1i sao g\u1ecdi NVIDIA DGX Spark l\u00e0 Si\u00eau m\u00e1y t\u00ednh AI c\u00e1 nh\u00e2n?<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>N&#7871;u b&#7841;n &#273;ang ngh&#297; &#273;&#7871;n vi&#7879;c x&acirc;y d&#7921;ng m&aacute;y tr&#7841;m trang b&#7883; d&ograve;ng GPU RTX 30XX cho ri&ecirc;ng m&igrave;nh, h&atilde;y &#273;&#7885;c ti&#7871;p.&nbsp;Trong b&agrave;i &#273;&#259;ng n&agrave;y, ch&uacute;ng t&ocirc;i b&agrave;n v&#7873; k&iacute;ch th&#432;&#7899;c, s&#7913;c m&#7841;nh, kh&#7843; n&#259;ng l&agrave;m m&aacute;t v&agrave; hi&#7879;u n&#259;ng c&#7911;a nh&#7919;ng GPU m&#7899;i n&agrave;y.&nbsp;Nh&#432;ng tr&#432;&#7899;c ti&ecirc;n, ch&uacute;ng t&ocirc;i s&#7869; tr&#7843; l&#7901;i c&acirc;u h&#7887;i ph&#7893;&#8230;<\/p>\n","protected":false},"author":2,"featured_media":7178,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3,162],"tags":[304,671,1314],"class_list":["post-7173","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","category-giai-phap","tag-geforce","tag-gpu","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>B\u00e0n v\u1ec1 GPU cho Deep Learning - RTX 3090, RTX 3080 v\u00e0 RTX 3070 - 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\/ban-ve-gpu-cho-deep-learning-rtx-3090-rtx-3080-va-rtx-3070-p7173\/\" \/>\n<meta name=\"twitter:card\" 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