{"id":1268,"date":"2024-02-28T08:29:26","date_gmt":"2024-02-28T08:29:26","guid":{"rendered":"https:\/\/tastycounter.net\/index.php\/2024\/02\/28\/nvidia-rtx-500-va-1000-ra-mat-giai-phap-gpu-tuyet-voi-cho-may-tinh-xach-tay-mong-nhe\/"},"modified":"2024-02-28T08:29:26","modified_gmt":"2024-02-28T08:29:26","slug":"nvidia-rtx-500-va-1000-ra-mat-giai-phap-gpu-tuyet-voi-cho-may-tinh-xach-tay-mong-nhe","status":"publish","type":"post","link":"https:\/\/tastycounter.net\/index.php\/2024\/02\/28\/nvidia-rtx-500-va-1000-ra-mat-giai-phap-gpu-tuyet-voi-cho-may-tinh-xach-tay-mong-nhe\/","title":{"rendered":"Nvidia RTX 500 v\u00e0 1000 ra m\u1eaft: Gi\u1ea3i ph\u00e1p GPU tuy\u1ec7t v\u1eddi cho m\u00e1y t\u00ednh x\u00e1ch tay m\u1ecfng nh\u1eb9"},"content":{"rendered":"<\/p>\n
\n

Ng\u00e0y c\u00e0ng c\u00f3 nhi\u1ec1u nh\u00e0 s\u00e1ng t\u1ea1o n\u1ed9i dung chuy\u00ean nghi\u1ec7p quan t\u00e2m s\u1eed d\u1ee5ng c\u00e1c \u1ee9ng d\u1ee5ng d\u1ef1a tr\u00ean AI \u0111\u1ec3 h\u1ed7 tr\u1ee3 ho\u00e0n th\u00e0nh c\u00f4ng vi\u1ec7c nhanh ch\u00f3ng, n\u0103ng su\u1ea5t. Nvidia n\u1eb1m r\u00f5 xu h\u01b0\u1edbng n\u00e0y v\u00e0 \u0111ang cung c\u1ea5p d\u00f2ng GPU RTX Ada Generation nh\u01b0 m\u1ed9t gi\u1ea3i ph\u00e1p h\u1ee3p l\u00fd \u0111\u1ec3 mang l\u1ea1i cho c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n, nh\u00e0 s\u1ea3n xu\u1ea5t n\u1ed9i dung tr\u1ea3i nghi\u1ec7m hi\u1ec7u su\u1ea5t nhanh h\u01a1n \u0111\u1ed1i v\u1edbi c\u00e1c \u1ee9ng d\u1ee5ng s\u00e1ng t\u1ea1o d\u1ef1a tr\u00ean AI.<\/p>\n

Hai m\u1eabu card \u0111\u1ed3 h\u1ecda RTX 500 v\u00e0 RTX 1000 m\u1edbi \u0111\u01b0\u1ee3c Nvidia c\u00f4ng b\u1ed1 h\u00f4m nay \u0111\u1ec1u \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho m\u00e1y tr\u1ea1m di \u0111\u1ed9ng v\u00e0 tr\u00ean th\u1ef1c t\u1ebf, ch\u00fang c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng b\u00ean trong c\u00e1c m\u1eabu m\u00e1y t\u00ednh x\u00e1ch tay nh\u1ea5n m\u1ea1nh \u0111\u1ebfn y\u1ebfu t\u1ed1 m\u1ecfng nh\u1eb9, mang \u0111\u1ebfn m\u1ed9t t\u00f9y ch\u1ecdn kh\u00e1c cho c\u00e1c chuy\u00ean gia th\u1ef1c hi\u1ec7n c\u00f4ng vi\u1ec7c c\u1ee7a h\u1ecd th\u00f4ng qua nh\u1eefng gi\u1ea3i ph\u00e1p m\u00e1y tr\u1ea1m c\u00f3 t\u00ednh di \u0111\u1ed9ng t\u1ed1t h\u01a1n.<\/p>\n

Nvidia cho bi\u1ebft GPU RTX 500 s\u1ebd mang l\u1ea1i hi\u1ec7u su\u1ea5t g\u1ea5p 14 l\u1ea7n khi s\u1eed d\u1ee5ng nh\u1eefng tr\u00ecnh t\u1ea1o h\u00ecnh \u1ea3nh AI nh\u01b0 Stable Diffusion so v\u1edbi vi\u1ec7c ch\u1ec9 d\u00f9ng CPU v\u1edbi \u0111\u1ed3 h\u1ecda t\u00edch h\u1ee3p th\u00f4ng th\u01b0\u1eddng. T\u01b0\u01a1ng t\u1ef1, nh\u1eefng ng\u01b0\u1eddi s\u1eed d\u1ee5ng c\u00f4ng c\u1ee5 ch\u1ec9nh s\u1eeda \u1ea3nh d\u1ef1a tr\u00ean AI c\u00f3 th\u1ec3 th\u1ea5y m\u1ee9c hi\u1ec7u su\u1ea5t c\u1ea3i thi\u1ec7n g\u1ea5p ba l\u1ea7n v\u1edbi m\u00e1y t\u00ednh x\u00e1ch tay ch\u1ea1y RTX 500. Ngo\u00e0i ra, c\u00f4ng ty tuy\u00ean b\u1ed1 GPU n\u00e0y s\u1ebd c\u00f3 th\u1ec3 mang l\u1ea1i hi\u1ec7u su\u1ea5t k\u1ebft xu\u1ea5t 3D t\u1ed1t h\u01a1n g\u1ea5p 10 l\u1ea7n.<\/p>\n

\"Nvidia<\/p>\n

<\/ins><\/div>\n

Nvidia RTX 500 s\u1ebd c\u00f3 b\u1ed9 nh\u1edb GPU 4GB, trong khi RTX 1000 \u0111\u01b0\u1ee3c trang b\u1ecb c\u00f3 b\u1ed9 nh\u1edb 6GB. GPU RTX 500 v\u00e0 1000, d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac NVIDIA Ada Lovelace, mang \u0111\u1ebfn nh\u1eefng c\u1ea3i ti\u1ebfn m\u1edbi nh\u1ea5t cho m\u00e1y t\u00ednh x\u00e1ch tay m\u1ecfng v\u00e0 nh\u1eb9, bao g\u1ed3m:<\/p>\n

    \n
  • L\u00f5i RT th\u1ebf h\u1ec7 th\u1ee9 ba: Hi\u1ec7u su\u1ea5t ray tracing (d\u00f2 tia) l\u00ean t\u1edbi 2 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc, mang \u0111\u1ebfn kh\u1ea3 n\u0103ng hi\u1ec3n th\u1ecb \u1ea3nh ch\u00e2n th\u1ef1c, s\u1eafc n\u00e9t.<\/li>\n
  • L\u00f5i Tensor th\u1ebf h\u1ec7 th\u1ee9 t\u01b0: Th\u00f4ng l\u01b0\u1ee3ng l\u00ean t\u1edbi g\u1ea7n g\u1ea5p \u0111\u00f4i so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc, t\u0103ng t\u1ed1c \u0111\u00e0o t\u1ea1o deep learning, suy lu\u1eadn v\u00e0 kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c s\u00e1ng t\u1ea1o d\u1ef1a tr\u00ean AI.<\/li>\n
  • L\u00f5i CUDA Ada Generation: Th\u00f4ng l\u01b0\u1ee3ng d\u1ea5u ph\u1ea9y \u0111\u1ed9ng ch\u00ednh x\u00e1c \u0111\u01a1n (FP32) l\u00ean t\u1edbi 30% so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc, gi\u00fap c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 hi\u1ec7u su\u1ea5t x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda v\u00e0 kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c t\u00ednh to\u00e1n.<\/li>\n
  • DLSS 3: Mang \u0111\u1ebfn s\u1ef1 \u0111\u1ed9t ph\u00e1 v\u1ec1 \u0111\u1ed3 h\u1ecda \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 b\u1edfi AI, t\u0103ng c\u01b0\u1eddng \u0111\u00e1ng k\u1ec3 hi\u1ec7u su\u1ea5t b\u1eb1ng c\u00e1ch t\u1ea1o th\u00eam khung h\u00ecnh ch\u1ea5t l\u01b0\u1ee3ng cao.<\/li>\n
  • B\u1ed9 m\u00e3 h\u00f3a AV1: B\u1ed9 m\u00e3 h\u00f3a NVIDIA th\u1ebf h\u1ec7 th\u1ee9 t\u00e1m, hay c\u00f2n g\u1ecdi l\u00e0 NVENC, c\u00f3 h\u1ed7 tr\u1ee3 AV1, hi\u1ec7u qu\u1ea3 h\u01a1n t\u1edbi 40% so v\u1edbi H.264, mang \u0111\u1ebfn nh\u1eefng kh\u1ea3 n\u0103ng m\u1edbi \u0111\u1ec3 ph\u00e1t s\u00f3ng, ph\u00e1t tr\u1ef1c tuy\u1ebfn v\u00e0 video call.<\/li>\n<\/ul>\n

    GPU m\u1edbi s\u1ebd c\u00f3 m\u1eb7t trong m\u1ed9t s\u1ed1 m\u1eabu m\u00e1y tr\u1ea1m m\u1eaft cu\u1ed1i qu\u00fd 1 n\u0103m nay \u0111\u1ebfn t\u1eeb c\u00e1c th\u01b0\u01a1ng hi\u1ec7u quen thu\u1ed9c nh\u01b0 Dell, HP, Lenovo v\u00e0 MSI.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    Ng\u00e0y c\u00e0ng c\u00f3 nhi\u1ec1u nh\u00e0 s\u00e1ng t\u1ea1o n\u1ed9i dung chuy\u00ean nghi\u1ec7p quan t\u00e2m s\u1eed d\u1ee5ng c\u00e1c \u1ee9ng d\u1ee5ng d\u1ef1a tr\u00ean AI \u0111\u1ec3 h\u1ed7 tr\u1ee3 ho\u00e0n th\u00e0nh c\u00f4ng vi\u1ec7c nhanh ch\u00f3ng, n\u0103ng su\u1ea5t. Nvidia n\u1eb1m r\u00f5 xu h\u01b0\u1edbng n\u00e0y v\u00e0 \u0111ang cung c\u1ea5p d\u00f2ng GPU RTX Ada Generation nh\u01b0 m\u1ed9t gi\u1ea3i ph\u00e1p h\u1ee3p l\u00fd \u0111\u1ec3 mang […]<\/p>\n","protected":false},"author":1,"featured_media":1269,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1268","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-khong-phan-loai"],"_links":{"self":[{"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/posts\/1268","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/comments?post=1268"}],"version-history":[{"count":0,"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/posts\/1268\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/media\/1269"}],"wp:attachment":[{"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/media?parent=1268"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/categories?post=1268"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tastycounter.net\/index.php\/wp-json\/wp\/v2\/tags?post=1268"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}