{"id":1843,"date":"2023-10-08T10:47:54","date_gmt":"2023-10-08T02:47:54","guid":{"rendered":"http:\/\/shlj-tec.com\/?p=1843"},"modified":"2023-10-08T10:56:02","modified_gmt":"2023-10-08T02:56:02","slug":"nvidia-rtx-4000-ada","status":"publish","type":"post","link":"http:\/\/shlj-tec.com\/index.php\/2023\/10\/08\/nvidia-rtx-4000-ada\/","title":{"rendered":"NVIDIA RTX 4000 Ada"},"content":{"rendered":"

\"\"<\/p>\n

\u9762\u5411\u4e13\u4e1a\u4eba\u5458\u7684\u8d85\u5f3a\u5927\u5355\u63d2\u69fd GPU<\/b><\/strong><\/h2>\n

NVIDIA RTX\u2122 4000 Ada \u67b6\u6784 GPU \u662f\u9762\u5411\u4e13\u4e1a\u4eba\u5458\u7684\u8d85\u5f3a\u5927\u5355\u63d2\u69fd GPU\uff0c\u5728\u901f\u5ea6\u548c\u80fd\u6548\u65b9\u9762\u5b9e\u73b0\u4e86\u5de8\u5927\u7a81\u7834\uff0c\u80fd\u591f\u5904\u7406\u53f0\u5f0f\u7535\u8111\u4e0a\u8981\u6c42\u4e25\u82db\u7684\u521b\u4f5c\u3001\u8bbe\u8ba1\u548c\u5de5\u7a0b\u5de5\u4f5c\u6d41\u3002RTX 4000 \u642d\u8f7d\u65b0\u4e00\u4ee3 RT Core\u3001Tensor Core\u3001CUDA\u00ae Core \u6838\u5fc3\u4ee5\u53ca 20GB \u663e\u5b58\uff0c\u53ef\u52a9\u529b\u4e13\u4e1a\u4eba\u5458\u6253\u9020\u590d\u6742\u7684\u4ea7\u54c1\u5de5\u7a0b\u8bbe\u8ba1\u3001\u68a6\u5e7b\u822c\u7684\u57ce\u5e02\u666f\u89c2\u548c\u6c89\u6d78\u5f0f\u5a31\u4e50\u4f53\u9a8c\u3002<\/p>\n

\u7531 NVIDIA Ada Lovelace \u67b6\u6784\u63d0\u4f9b\u652f\u6301<\/b><\/strong><\/h3>\n

 <\/p>\n

\u57fa\u4e8e NVIDIA Ada Lovelace \u67b6\u6784\u7684 CUDA Core<\/b><\/strong><\/h4>\n

\u5355\u7cbe\u5ea6\u6d6e\u70b9 (FP32) \u8fd0\u7b97\u7684\u901f\u5ea6\u662f\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u7684 2 \u500d\uff0c\u53ef\u663e\u8457\u63d0\u5347\u53f0\u5f0f\u7535\u8111\u4e0a\u5904\u7406\u56fe\u5f62\u548c\u4eff\u771f\u5de5\u4f5c\u6d41\u65f6\u7684\u6027\u80fd\uff0c\u4f8b\u5982\u63d0\u5347\u590d\u6742\u7684 3D \u8ba1\u7b97\u673a\u8f85\u52a9\u8bbe\u8ba1 (CAD) \u548c\u8ba1\u7b97\u673a\u8f85\u52a9\u5de5\u7a0b (CAE) \u65b9\u9762\u7684\u6027\u80fd\u3002<\/p>\n

 <\/p>\n

\u7b2c\u4e09\u4ee3 RT Core<\/b><\/strong><\/h4>\n

\u7b2c\u4e09\u4ee3 RT Core \u6700\u9ad8\u53ef\u4ee5\u5b9e\u73b0\u6bd4\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u9ad8 2 \u500d\u7684\u541e\u5410\u91cf\uff0c\u80fd\u591f\u5927\u5e45\u63d0\u5347\u5404\u79cd\u5de5\u4f5c\u8d1f\u8f7d\u7684\u5904\u7406\u901f\u5ea6\uff0c\u4f8b\u5982\u7535\u5f71\u5185\u5bb9\u7684\u7167\u7247\u7ea7\u6e32\u67d3\u3001\u5efa\u7b51\u8bbe\u8ba1\u8bc4\u4f30\uff0c\u4ee5\u53ca\u4e3a\u4ea7\u54c1\u8bbe\u8ba1\u6253\u9020\u865a\u62df\u539f\u578b\u7b49\u5de5\u4f5c\u8d1f\u8f7d\u3002\u8fd9\u9879\u6280\u672f\u8fd8\u53ef\u52a0\u5feb\u5149\u7ebf\u8ffd\u8e2a\u52a8\u6001\u6a21\u7cca\u7684\u6e32\u67d3\u901f\u5ea6\uff0c\u540c\u65f6\u63d0\u9ad8\u89c6\u89c9\u51c6\u786e\u5ea6\u3002<\/p>\n

 <\/p>\n

\u7b2c\u56db\u4ee3 Tensor Core<\/b><\/strong><\/h4>\n

\u7b2c\u56db\u4ee3 Tensor Core \u7684 AI \u6027\u80fd\u53ef\u8fbe\u5230\u4e0a\u4e00\u4ee3\u4ea7\u54c1\u7684 2 \u500d\u4ee5\u4e0a\u3002\u6b64\u4ee3\u7cfb Tensor Core \u652f\u6301 FP8 \u7cbe\u5ea6\u6570\u636e\u7c7b\u578b\u7684\u52a0\u901f\uff0c\u5e76\u63d0\u4f9b\u72ec\u7acb\u7684\u6d6e\u70b9\u548c\u6574\u6570\u6570\u636e\u8def\u5f84\uff0c\u4ee5\u52a0\u901f\u6267\u884c\u6d6e\u70b9\u548c\u6574\u6570\u6df7\u5408\u8ba1\u7b97\u3002<\/p>\n

 <\/p>\n

20GB GPU \u663e\u5b58<\/b><\/strong><\/h4>\n

RTX 4000 \u914d\u5907 20GB GDDR6 \u663e\u5b58\uff0c\u80fd\u591f\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u3001\u5de5\u7a0b\u5e08\u548c\u521b\u610f\u4e13\u4e1a\u4eba\u5458\u63d0\u4f9b\u6240\u9700\u7684\u5927\u5bb9\u91cf\u663e\u5b58\uff0c\u8ba9\u4ed6\u4eec\u8f7b\u677e\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\uff0c\u4ee5\u53ca\u6e32\u67d3\u3001\u6570\u636e\u79d1\u5b66\u548c\u4eff\u771f\u7b49\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p>\n

 <\/p>\n

AV1 \u7f16\u7801\u5668<\/b><\/strong><\/h4>\n

\u91c7\u7528 AV1 \u7f16\u7801\u6280\u672f\u7684\u7b2c\u516b\u4ee3\u4e13\u7528\u786c\u4ef6\u7f16\u7801\u5668 (NVENC) \u4e3a\u76f4\u64ad\u8005\u3001\u4e3b\u64ad\u548c\u89c6\u9891\u4f1a\u8bae\u5e26\u6765\u4e86\u65b0\u7684\u673a\u9047\u3002\u8be5\u7f16\u7801\u5668\u7684\u6548\u7387\u6bd4 H.264 \u9ad8 40%\uff0c\u8fd9\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u5c06\u76f4\u64ad\u5206\u8fa8\u7387\u4ece 1080p \u63d0\u9ad8\u5230 1440p\uff0c\u8fd0\u884c\u6bd4\u7279\u7387\u548c\u8d28\u91cf\u5219\u4fdd\u6301\u4e0d\u53d8\u3002<\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

\u9762\u5411\u4e13\u4e1a\u4eba\u5458\u7684\u8d85\u5f3a\u5927\u5355\u63d2\u69fd GPU NVIDIA RTX\u2122 4000 Ada \u67b6\u6784 GPU \u662f\u9762\u5411\u4e13\u4e1a\u4eba\u5458\u7684\u8d85 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[74],"tags":[],"_links":{"self":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1843"}],"collection":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/comments?post=1843"}],"version-history":[{"count":2,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1843\/revisions"}],"predecessor-version":[{"id":1848,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/posts\/1843\/revisions\/1848"}],"wp:attachment":[{"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/media?parent=1843"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/categories?post=1843"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/shlj-tec.com\/index.php\/wp-json\/wp\/v2\/tags?post=1843"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}