{"id":477368,"date":"2023-08-09T09:11:34","date_gmt":"2023-08-09T09:11:34","guid":{"rendered":""},"modified":"2023-09-05T11:14:34","modified_gmt":"2023-09-05T11:14:34","slug":"gpu","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/gpu\/","title":{"rendered":"GPU"},"content":{"rendered":"<p>B\u1ed9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda, th\u01b0\u1eddng \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 GPU, l\u00e0 m\u1ed9t ph\u1ea7n kh\u00f4ng th\u1ec3 thi\u1ebfu trong th\u1ebf gi\u1edbi k\u1ef9 thu\u1eadt s\u1ed1 hi\u1ec7n \u0111\u1ea1i. L\u00e0 m\u1ed9t th\u00e0nh ph\u1ea7n quan tr\u1ecdng c\u1ee7a h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh, ch\u00fang \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 nhanh ch\u00f3ng thao t\u00e1c v\u00e0 thay \u0111\u1ed5i b\u1ed9 nh\u1edb nh\u1eb1m \u0111\u1ea9y nhanh qu\u00e1 tr\u00ecnh t\u1ea1o h\u00ecnh \u1ea3nh trong b\u1ed9 \u0111\u1ec7m khung d\u00e0nh cho \u0111\u1ea7u ra thi\u1ebft b\u1ecb hi\u1ec3n th\u1ecb. N\u00f3i m\u1ed9t c\u00e1ch \u0111\u01a1n gi\u1ea3n h\u01a1n, ch\u00fang hi\u1ec3n th\u1ecb h\u00ecnh \u1ea3nh, ho\u1ea1t \u1ea3nh v\u00e0 video tr\u00ean m\u00e0n h\u00ecnh c\u1ee7a b\u1ea1n. V\u1edbi kh\u1ea3 n\u0103ng th\u1ef1c hi\u1ec7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng song song tr\u00ean nhi\u1ec1u b\u1ed9 d\u1eef li\u1ec7u, ch\u00fang ng\u00e0y c\u00e0ng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng nhi\u1ec1u trong nhi\u1ec1u ph\u00e9p t\u00ednh phi \u0111\u1ed3 h\u1ecda.<\/p>\n<h2>S\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a GPU<\/h2>\n<p>Kh\u00e1i ni\u1ec7m GPU l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c \u0111\u01b0a ra v\u00e0o nh\u1eefng n\u0103m 1970. Nh\u1eefng tr\u00f2 ch\u01a1i \u0111i\u1ec7n t\u1eed \u0111\u1ea7u ti\u00ean nh\u01b0 Pong v\u00e0 Space Invaders \u0111\u00f2i h\u1ecfi ph\u1ea3i t\u1ea1o ra ph\u1ea7n c\u1ee9ng \u0111\u1ed3 h\u1ecda \u0111\u1ec3 hi\u1ec3n th\u1ecb h\u00ecnh \u1ea3nh tr\u00ean m\u00e0n h\u00ecnh. Ch\u00fang c\u00f2n th\u00f4 s\u01a1 theo ti\u00eau chu\u1ea9n ng\u00e0y nay, ch\u1ec9 c\u00f3 kh\u1ea3 n\u0103ng hi\u1ec3n th\u1ecb c\u00e1c h\u00ecnh d\u1ea1ng v\u00e0 m\u00e0u s\u1eafc \u0111\u01a1n gi\u1ea3n. NVIDIA th\u01b0\u1eddng \u0111\u01b0\u1ee3c ghi nh\u1eadn l\u00e0 ng\u01b0\u1eddi \u0111\u00e3 tung ra GPU \u0111\u1ea7u ti\u00ean, GeForce 256, v\u00e0o n\u0103m 1999. \u0110\u00e2y l\u00e0 thi\u1ebft b\u1ecb \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n l\u00e0 GPU c\u00f3 th\u1ec3 t\u1ef1 m\u00ecnh th\u1ef1c hi\u1ec7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng chuy\u1ec3n \u0111\u1ed5i v\u00e0 chi\u1ebfu s\u00e1ng (T&amp;L), v\u1ed1n tr\u01b0\u1edbc \u0111\u00e2y thu\u1ed9c tr\u00e1ch nhi\u1ec7m c\u1ee7a CPU.<\/p>\n<p>Theo th\u1eddi gian, v\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 trong c\u00f4ng ngh\u1ec7 v\u00e0 nhu c\u1ea7u v\u1ec1 \u0111\u1ed3 h\u1ecda t\u1ed1t h\u01a1n ng\u00e0y c\u00e0ng t\u0103ng, GPU \u0111\u00e3 ph\u00e1t tri\u1ec3n v\u01b0\u1ee3t b\u1eadc. Ch\u00fang ta \u0111\u00e3 ch\u1ee9ng ki\u1ebfn s\u1ef1 ti\u1ebfn tri\u1ec3n t\u1eeb c\u00e1c b\u1ed9 t\u0103ng t\u1ed1c \u0111\u1ed3 h\u1ecda 2D, ch\u1ee9c n\u0103ng c\u1ed1 \u0111\u1ecbnh \u0111\u1ebfn c\u00e1c chip l\u1eadp tr\u00ecnh c\u1ef1c k\u1ef3 m\u1ea1nh m\u1ebd \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng ng\u00e0y nay, c\u00f3 kh\u1ea3 n\u0103ng hi\u1ec3n th\u1ecb m\u00f4i tr\u01b0\u1eddng 3D ch\u00e2n th\u1ef1c trong th\u1eddi gian th\u1ef1c.<\/p>\n<h2>\u0110i s\u00e2u v\u00e0o GPU<\/h2>\n<p>GPU \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 ho\u1ea1t \u0111\u1ed9ng hi\u1ec7u qu\u1ea3 trong c\u00e1c t\u00e1c v\u1ee5 li\u00ean quan \u0111\u1ebfn vi\u1ec7c x\u1eed l\u00fd song song c\u00e1c kh\u1ed1i d\u1eef li\u1ec7u l\u1edbn, ch\u1eb3ng h\u1ea1n nh\u01b0 hi\u1ec3n th\u1ecb h\u00ecnh \u1ea3nh v\u00e0 video. H\u1ecd \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u qu\u1ea3 n\u00e0y b\u1eb1ng c\u00e1ch c\u00f3 h\u00e0ng ngh\u00ecn l\u00f5i c\u00f3 th\u1ec3 x\u1eed l\u00fd \u0111\u1ed3ng th\u1eddi h\u00e0ng ngh\u00ecn lu\u1ed3ng. \u0110\u1ec3 so s\u00e1nh, m\u1ed9t CPU th\u00f4ng th\u01b0\u1eddng c\u00f3 th\u1ec3 c\u00f3 t\u1eeb hai \u0111\u1ebfn 32 l\u00f5i. S\u1ef1 kh\u00e1c bi\u1ec7t v\u1ec1 ki\u1ebfn tr\u00fac n\u00e0y cho ph\u00e9p GPU ho\u1ea1t \u0111\u1ed9ng hi\u1ec7u qu\u1ea3 h\u01a1n trong c\u00e1c t\u00e1c v\u1ee5 nh\u01b0 k\u1ebft xu\u1ea5t h\u00ecnh \u1ea3nh, t\u00ednh to\u00e1n khoa h\u1ecdc v\u00e0 h\u1ecdc s\u00e2u, nh\u1eefng t\u00e1c v\u1ee5 y\u00eau c\u1ea7u th\u1ef1c hi\u1ec7n c\u00f9ng m\u1ed9t thao t\u00e1c tr\u00ean c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn.<\/p>\n<p>GPU th\u01b0\u1eddng \u0111\u01b0\u1ee3c chia th\u00e0nh hai lo\u1ea1i: T\u00edch h\u1ee3p v\u00e0 Chuy\u00ean d\u1ee5ng. GPU t\u00edch h\u1ee3p \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o c\u00f9ng chip v\u1edbi CPU v\u00e0 chia s\u1ebb b\u1ed9 nh\u1edb v\u1edbi n\u00f3. M\u1eb7t kh\u00e1c, GPU chuy\u00ean d\u1ee5ng l\u00e0 c\u00e1c \u0111\u01a1n v\u1ecb ri\u00eang bi\u1ec7t c\u00f3 b\u1ed9 nh\u1edb ri\u00eang, \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 RAM video (VRAM).<\/p>\n<h2>L\u00e0m s\u00e1ng t\u1ecf c\u1ea5u tr\u00fac b\u00ean trong v\u00e0 nguy\u00ean l\u00fd ho\u1ea1t \u0111\u1ed9ng c\u1ee7a GPU<\/h2>\n<p>GPU bao g\u1ed3m nhi\u1ec1u b\u1ed9 ph\u1eadn kh\u00e1c nhau, bao g\u1ed3m b\u1ed9 nh\u1edb, b\u1ed9 x\u1eed l\u00fd v\u00e0 b\u1ed9 ph\u1eadn \u0110\u1ea7u v\u00e0o\/\u0110\u1ea7u ra (I\/O). Trung t\u00e2m c\u1ee7a m\u1ed7i GPU l\u00e0 Graphics Core, bao g\u1ed3m h\u00e0ng tr\u0103m ho\u1eb7c h\u00e0ng ngh\u00ecn l\u00f5i. C\u00e1c l\u00f5i n\u00e0y \u0111\u01b0\u1ee3c nh\u00f3m ti\u1ebfp th\u00e0nh c\u00e1c \u0111\u01a1n v\u1ecb l\u1edbn h\u01a1n, th\u01b0\u1eddng \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 B\u1ed9 x\u1eed l\u00fd \u0111a lu\u1ed3ng (SM) trong GPU NVIDIA ho\u1eb7c \u0110\u01a1n v\u1ecb t\u00ednh to\u00e1n (CU) trong GPU AMD.<\/p>\n<p>Khi c\u00f3 m\u1ed9t t\u00e1c v\u1ee5 xu\u1ea5t hi\u1ec7n, GPU s\u1ebd chia n\u00f3 th\u00e0nh c\u00e1c t\u00e1c v\u1ee5 ph\u1ee5 nh\u1ecf h\u01a1n v\u00e0 ph\u00e2n b\u1ed5 ch\u00fang tr\u00ean c\u00e1c l\u00f5i c\u00f3 s\u1eb5n. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p th\u1ef1c hi\u1ec7n \u0111\u1ed3ng th\u1eddi c\u00e1c t\u00e1c v\u1ee5, d\u1eabn \u0111\u1ebfn th\u1eddi gian ho\u00e0n th\u00e0nh nhanh h\u01a1n so v\u1edbi t\u00ednh ch\u1ea5t x\u1eed l\u00fd tu\u1ea7n t\u1ef1 c\u1ee7a CPU.<\/p>\n<h2>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a GPU<\/h2>\n<p>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a GPU hi\u1ec7n \u0111\u1ea1i bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>Ti\u1ebfn tr\u00ecnh song song<\/strong>: GPU c\u00f3 th\u1ec3 x\u1eed l\u00fd \u0111\u1ed3ng th\u1eddi h\u00e0ng ngh\u00ecn t\u00e1c v\u1ee5, khi\u1ebfn ch\u00fang tr\u1edf n\u00ean l\u00fd t\u01b0\u1edfng cho kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c chia th\u00e0nh c\u00e1c t\u00e1c v\u1ee5 song song nh\u1ecf h\u01a1n.<\/li>\n<li><strong>B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb<\/strong>: GPU th\u01b0\u1eddng c\u00f3 b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb cao h\u01a1n nhi\u1ec1u so v\u1edbi CPU, cho ph\u00e9p ch\u00fang x\u1eed l\u00fd nhanh ch\u00f3ng c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn.<\/li>\n<li><strong>Kh\u1ea3 n\u0103ng l\u1eadp tr\u00ecnh<\/strong>: GPU hi\u1ec7n \u0111\u1ea1i c\u00f3 th\u1ec3 l\u1eadp tr\u00ecnh \u0111\u01b0\u1ee3c, ngh\u0129a l\u00e0 nh\u00e0 ph\u00e1t tri\u1ec3n c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng c\u00e1c ng\u00f4n ng\u1eef nh\u01b0 CUDA ho\u1eb7c OpenCL \u0111\u1ec3 vi\u1ebft m\u00e3 ch\u1ea1y tr\u00ean GPU.<\/li>\n<li><strong>Hi\u1ec7u su\u1ea5t n\u0103ng l\u01b0\u1ee3ng<\/strong>: GPU ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng h\u01a1n CPU cho c\u00e1c t\u00e1c v\u1ee5 c\u00f3 th\u1ec3 song song.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i GPU: M\u1ed9t nghi\u00ean c\u1ee9u so s\u00e1nh<\/h2>\n<p>C\u00f3 hai lo\u1ea1i GPU ch\u00ednh:<\/p>\n<table>\n<thead>\n<tr>\n<th>Ki\u1ec3u<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<th>T\u1ed1t nh\u1ea5t cho<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>GPU t\u00edch h\u1ee3p<\/td>\n<td>\u0110\u01b0\u1ee3c t\u00edch h\u1ee3p v\u00e0o c\u00f9ng m\u1ed9t con chip v\u1edbi CPU, th\u01b0\u1eddng chia s\u1ebb b\u1ed9 nh\u1edb h\u1ec7 th\u1ed1ng.<\/td>\n<td>C\u00e1c t\u00e1c v\u1ee5 t\u00ednh to\u00e1n nh\u1eb9 nh\u00e0ng nh\u01b0 duy\u1ec7t web, xem video v\u00e0 l\u00e0m c\u00f4ng vi\u1ec7c v\u0103n ph\u00f2ng.<\/td>\n<\/tr>\n<tr>\n<td>GPU chuy\u00ean d\u1ee5ng<\/td>\n<td>M\u1ed9t thi\u1ebft b\u1ecb ri\u00eang bi\u1ec7t c\u00f3 b\u1ed9 nh\u1edb ri\u00eang (VRAM).<\/td>\n<td>Ch\u01a1i game, k\u1ebft xu\u1ea5t 3D, t\u00ednh to\u00e1n khoa h\u1ecdc, h\u1ecdc s\u00e2u, v.v.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>C\u00e1c th\u01b0\u01a1ng hi\u1ec7u bao g\u1ed3m NVIDIA v\u00e0 AMD, m\u1ed7i th\u01b0\u01a1ng hi\u1ec7u cung c\u1ea5p nhi\u1ec1u lo\u1ea1i GPU t\u1eeb t\u00f9y ch\u1ecdn c\u1ea5p th\u1ea5p \u0111\u1ebfn cao c\u1ea5p ph\u1ee5c v\u1ee5 cho nhi\u1ec1u tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng kh\u00e1c nhau.<\/p>\n<h2>GPU \u0111ang ho\u1ea1t \u0111\u1ed9ng: \u1ee8ng d\u1ee5ng, th\u00e1ch th\u1ee9c v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<p>GPU \u0111\u00e3 t\u00ecm th\u1ea5y nhi\u1ec1u \u1ee9ng d\u1ee5ng ngo\u00e0i l\u0129nh v\u1ef1c k\u1ebft xu\u1ea5t \u0111\u1ed3 h\u1ecda truy\u1ec1n th\u1ed1ng. Ch\u00fang \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong \u0111i\u1ec7n to\u00e1n khoa h\u1ecdc, h\u1ecdc s\u00e2u, khai th\u00e1c ti\u1ec1n \u0111i\u1ec7n t\u1eed v\u00e0 k\u1ebft xu\u1ea5t 3D. Ch\u00fang \u0111\u1eb7c bi\u1ec7t ph\u1ed5 bi\u1ebfn trong l\u0129nh v\u1ef1c Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 H\u1ecdc m\u00e1y, do kh\u1ea3 n\u0103ng th\u1ef1c hi\u1ec7n song song m\u1ed9t s\u1ed1 l\u01b0\u1ee3ng l\u1edbn c\u00e1c ph\u00e9p t\u00ednh.<\/p>\n<p>Tuy nhi\u00ean, \u0111\u1ec3 s\u1eed d\u1ee5ng GPU hi\u1ec7u qu\u1ea3 c\u1ea7n c\u00f3 ki\u1ebfn th\u1ee9c v\u1ec1 t\u00ednh to\u00e1n song song v\u00e0 c\u00e1c ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh \u0111\u1eb7c bi\u1ec7t nh\u01b0 CUDA hay OpenCL. \u0110\u00e2y c\u00f3 th\u1ec3 l\u00e0 r\u00e0o c\u1ea3n \u0111\u1ed1i v\u1edbi nhi\u1ec1u nh\u00e0 ph\u00e1t tri\u1ec3n. H\u01a1n n\u1eefa, GPU cao c\u1ea5p c\u00f3 th\u1ec3 kh\u00e1 \u0111\u1eaft.<\/p>\n<p>Gi\u1ea3i ph\u00e1p cho nh\u1eefng v\u1ea5n \u0111\u1ec1 n\u00e0y bao g\u1ed3m s\u1eed d\u1ee5ng d\u1ecbch v\u1ee5 GPU d\u1ef1a tr\u00ean \u0111\u00e1m m\u00e2y, cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng thu\u00ea t\u00e0i nguy\u00ean GPU theo y\u00eau c\u1ea7u. Nhi\u1ec1u nh\u00e0 cung c\u1ea5p \u0111\u00e1m m\u00e2y c\u0169ng cung c\u1ea5p API c\u1ea5p cao, cho ph\u00e9p nh\u00e0 ph\u00e1t tri\u1ec3n s\u1eed d\u1ee5ng GPU m\u00e0 kh\u00f4ng c\u1ea7n ph\u1ea3i h\u1ecdc l\u1eadp tr\u00ecnh c\u1ea5p th\u1ea5p.<\/p>\n<h2>\u0110\u1eb7c \u0111i\u1ec3m GPU v\u00e0 ph\u00e2n t\u00edch so s\u00e1nh<\/h2>\n<table>\n<thead>\n<tr>\n<th>T\u00ednh n\u0103ng<\/th>\n<th>CPU<\/th>\n<th>GPU<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>S\u1ed1 l\u01b0\u1ee3ng l\u00f5i<\/td>\n<td>2-32<\/td>\n<td>H\u00e0ng tr\u0103m \u0111\u1ebfn h\u00e0ng ngh\u00ecn<\/td>\n<\/tr>\n<tr>\n<td>B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb<\/td>\n<td>Th\u1ea5p h\u01a1n<\/td>\n<td>Cao h\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>Hi\u1ec7u su\u1ea5t cho c\u00e1c t\u00e1c v\u1ee5 song song<\/td>\n<td>Th\u1ea5p h\u01a1n<\/td>\n<td>Cao h\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>Hi\u1ec7u su\u1ea5t cho c\u00e1c t\u00e1c v\u1ee5 tu\u1ea7n t\u1ef1<\/td>\n<td>Cao h\u01a1n<\/td>\n<td>Th\u1ea5p h\u01a1n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>T\u01b0\u01a1ng lai c\u1ee7a c\u00f4ng ngh\u1ec7 GPU<\/h2>\n<p>Nh\u1eefng ti\u1ebfn b\u1ed9 trong t\u01b0\u01a1ng lai c\u1ee7a c\u00f4ng ngh\u1ec7 GPU s\u1ebd ti\u1ebfp t\u1ee5c \u0111\u01b0\u1ee3c th\u00fac \u0111\u1ea9y b\u1edfi nhu c\u1ea7u v\u1ec1 AI v\u00e0 \u0111i\u1ec7n to\u00e1n hi\u1ec7u n\u0103ng cao. Ch\u00fang ta c\u00f3 th\u1ec3 mong \u0111\u1ee3i GPU s\u1ebd tr\u1edf n\u00ean m\u1ea1nh m\u1ebd h\u01a1n, ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng h\u01a1n v\u00e0 d\u1ec5 l\u1eadp tr\u00ecnh h\u01a1n.<\/p>\n<p>C\u00e1c c\u00f4ng ngh\u1ec7 nh\u01b0 Ray Tracing, c\u00f3 th\u1ec3 m\u00f4 ph\u1ecfng h\u00e0nh vi v\u1eadt l\u00fd c\u1ee7a \u00e1nh s\u00e1ng trong th\u1eddi gian th\u1ef1c, c\u00f3 kh\u1ea3 n\u0103ng tr\u1edf th\u00e0nh xu h\u01b0\u1edbng ch\u1ee7 \u0111\u1ea1o. Ch\u00fang ta c\u0169ng c\u00f3 th\u1ec3 mong \u0111\u1ee3i \u0111\u01b0\u1ee3c th\u1ea5y s\u1ef1 t\u00edch h\u1ee3p nhi\u1ec1u h\u01a1n c\u1ee7a AI trong GPU, \u0111i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 gi\u00fap t\u1ed1i \u01b0u h\u00f3a ho\u1ea1t \u0111\u1ed9ng v\u00e0 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t c\u1ee7a ch\u00fang.<\/p>\n<h2>GPU v\u00e0 m\u00e1y ch\u1ee7 proxy: S\u1ef1 k\u1ebft h\u1ee3p b\u1ea5t th\u01b0\u1eddng<\/h2>\n<p>GPU v\u00e0 m\u00e1y ch\u1ee7 proxy tho\u1ea1t nh\u00ecn c\u00f3 v\u1ebb kh\u00f4ng li\u00ean quan. Tuy nhi\u00ean, trong m\u1ed9t s\u1ed1 tr\u01b0\u1eddng h\u1ee3p, c\u1ea3 hai c\u00f3 th\u1ec3 t\u01b0\u01a1ng t\u00e1c v\u1edbi nhau. V\u00ed d\u1ee5: trong c\u00e1c ho\u1ea1t \u0111\u1ed9ng qu\u00e9t web quy m\u00f4 l\u1edbn, vi\u1ec7c s\u1eed d\u1ee5ng m\u00e1y ch\u1ee7 proxy \u0111\u1ec3 ph\u00e2n ph\u1ed1i y\u00eau c\u1ea7u tr\u00ean nhi\u1ec1u \u0111\u1ecba ch\u1ec9 IP l\u00e0 \u0111i\u1ec1u ph\u1ed5 bi\u1ebfn. Nh\u1eefng nhi\u1ec7m v\u1ee5 n\u00e0y c\u00f3 th\u1ec3 li\u00ean quan \u0111\u1ebfn vi\u1ec7c x\u1eed l\u00fd m\u1ed9t l\u01b0\u1ee3ng l\u1edbn d\u1eef li\u1ec7u c\u1ea7n \u0111\u01b0\u1ee3c x\u1eed l\u00fd v\u00e0 ph\u00e2n t\u00edch. \u1ede \u0111\u00e2y, GPU c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 t\u0103ng t\u1ed1c c\u00e1c t\u00e1c v\u1ee5 x\u1eed l\u00fd d\u1eef li\u1ec7u.<\/p>\n<p>Trong c\u00e1c tr\u01b0\u1eddng h\u1ee3p kh\u00e1c, GPU c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 t\u0103ng t\u1ed1c qu\u00e1 tr\u00ecnh m\u00e3 h\u00f3a v\u00e0 gi\u1ea3i m\u00e3 trong m\u00f4i tr\u01b0\u1eddng m\u00e1y ch\u1ee7 proxy an to\u00e0n, c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t truy\u1ec1n d\u1eef li\u1ec7u qua m\u00e1y ch\u1ee7 proxy.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ol>\n<li><a href=\"https:\/\/www.nvidia.com\/en-us\/about-nvidia\/our-technology\/\" target=\"_new\" rel=\"noopener nofollow\">C\u00f4ng ngh\u1ec7 GPU NVIDIA<\/a><\/li>\n<li><a href=\"https:\/\/www.amd.com\/en\/technologies\" target=\"_new\" rel=\"noopener nofollow\">C\u00f4ng ngh\u1ec7 \u0111\u1ed3 h\u1ecda AMD<\/a><\/li>\n<li><a href=\"https:\/\/developer.nvidia.com\/blog\/even-easier-introduction-cuda\/\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1edbi thi\u1ec7u v\u1ec1 t\u00ednh to\u00e1n GPU<\/a><\/li>\n<li><a href=\"https:\/\/www.computer.org\/csdl\/magazine\/co\/2009\/01\/mco2009010013\/13rRUwh0Yrl\" target=\"_new\" rel=\"noopener nofollow\">Ki\u1ebfn tr\u00fac GPU \u2013 M\u1ed9t cu\u1ed9c kh\u1ea3o s\u00e1t<\/a><\/li>\n<\/ol>\n<p>T\u00f3m l\u1ea1i, GPU \u0111\u00e3 c\u00e1ch m\u1ea1ng h\u00f3a th\u1ebf gi\u1edbi \u0111i\u1ec7n to\u00e1n v\u1edbi kh\u1ea3 n\u0103ng x\u1eed l\u00fd song song kh\u1ed5ng l\u1ed3 c\u1ee7a ch\u00fang. Khi AI v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng n\u1eb7ng v\u1ec1 d\u1eef li\u1ec7u ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, t\u1ea7m quan tr\u1ecdng c\u1ee7a GPU s\u1ebd ti\u1ebfp t\u1ee5c t\u0103ng l\u00ean. T\u1ea1i OneProxy, ch\u00fang t\u00f4i hi\u1ec3u ti\u1ec1m n\u0103ng m\u00e0 nh\u1eefng c\u00f4ng ngh\u1ec7 nh\u01b0 v\u1eady n\u1eafm gi\u1eef v\u00e0 mong mu\u1ed1n \u0111\u01b0a ch\u00fang v\u00e0o c\u00e1c d\u1ecbch v\u1ee5 c\u1ee7a ch\u00fang t\u00f4i.<\/p>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477368","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>The Ultimate Guide to Graphics Processing Units (GPUs)<\/mark>","faq_items":[{"question":"What is a GPU?","answer":"<p>A GPU, or Graphics Processing Unit, is a critical component of a computer system that is designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. They render images, animations, and videos to your screen. Their ability to perform parallel operations on multiple sets of data also makes them useful for a variety of non-graphics calculations.<\/p>"},{"question":"When was the first GPU introduced?","answer":"<p>The concept of a GPU was first introduced in the 1970s, but NVIDIA is often credited with launching the first GPU, the GeForce 256, in 1999. This was the first device labelled as a GPU that could perform transformations and lighting (T&amp;L) operations on its own, which was previously a CPU's responsibility.<\/p>"},{"question":"What is the difference between an integrated and a dedicated GPU?","answer":"<p>Integrated GPUs are built into the same chip as the CPU and share memory with it, making them suitable for light computing tasks like browsing, watching videos, and doing office work. Dedicated GPUs, on the other hand, are separate units with their own memory, known as Video RAM (VRAM), and are ideal for tasks such as gaming, 3D rendering, scientific computing, and deep learning.<\/p>"},{"question":"What are the key features of GPUs?","answer":"<p>Key features of modern GPUs include parallel processing capabilities, high memory bandwidth, programmability, and energy efficiency. These features make them more efficient than CPUs at tasks like image rendering, scientific computing, and deep learning.<\/p>"},{"question":"How are GPUs used beyond graphics rendering?","answer":"<p>GPUs are used in a wide range of applications beyond graphics rendering, including scientific computing, deep learning, cryptocurrency mining, and 3D rendering. They are particularly popular in the fields of artificial intelligence and machine learning due to their ability to perform a large number of calculations in parallel.<\/p>"},{"question":"How can GPUs interact with proxy servers?","answer":"<p>In some instances, GPUs can be used in conjunction with proxy servers. For example, in large-scale web scraping operations, where proxy servers distribute requests across multiple IP addresses, GPUs can speed up data processing tasks. In other cases, a GPU could accelerate encryption and decryption processes in a secure proxy server environment, improving the performance of data transfer through the proxy server.<\/p>"},{"question":"What is the future of GPU technology?","answer":"<p>Future advancements in GPU technology will continue to be driven by the demands of AI and high-performance computing. We can expect GPUs to become even more powerful, energy-efficient, and easier to program. Technologies like Ray Tracing, which can simulate the physical behavior of light in real-time, are likely to become mainstream. Additionally, we can also expect to see more integration of AI in GPUs, which can help optimize their operation and improve performance.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477368","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/477368\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=477368"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}