{"id":3242,"date":"2019-02-07T16:41:27","date_gmt":"2019-02-07T08:41:27","guid":{"rendered":"https:\/\/www.plunify.com\/cn\/?page_id=3242"},"modified":"2019-02-07T17:13:47","modified_gmt":"2019-02-07T09:13:47","slug":"ailab","status":"publish","type":"page","link":"https:\/\/www.plunify.com\/cn\/ailab\/","title":{"rendered":"AI Lab"},"content":{"rendered":"

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AI Lab – \u5728\u4e91\u670d\u52a1\u5668\u4e0a\u8fdb\u884c FPGA \u8bbe\u8ba1<\/span><\/h2>\n

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\u7528\u4e8e FPGA \u8bbe\u8ba1\u4e0e\u7814\u53d1\u7684\u4e91\u73af\u5883<\/span><\/h1>\n

[\/vc_column_text][vc_column_text]Plunify \u7684 AI Lab \u5145\u5206\u53d1\u6325\u4e91\u8ba1\u7b97\u7684\u4f18\u52bf\uff0c\u4e3a\u7528\u6237\u5728\u7814\u7a76\u548c\u5f00\u53d1\u65b9\u9762\u63d0\u4f9b\u6700\u5927\u7684\u4fbf\u5229\u3002<\/span><\/p>\n

AI Lab \u4e0d\u9700\u4efb\u4f55\u672c\u5730\u786c\u4ef6\uff0c\u8ba9\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5f00\u542f\u4e3b\u6d41\u5382\u5546\u7684\u4e91\u670d\u52a1\u5668\uff0c\u5e76\u9884\u7f6e\u597d\u9002\u7528\u4e8e FPGA\uff0cGPU \u548c CPU \u7684\u673a\u5668\u5b66\u4e60\u8f6f\u4ef6\u3002\u5de5\u7a0b\u5e08\uff0c\u7814\u7a76\u4eba\u5458\uff0c\u4ee5\u53ca\u6559\u80b2\u673a\u6784\u548c\u5b66\u751f\u53ef\u4ece\u4e2d\u53d7\u76ca\uff0c\u65e0\u9700\u590d\u6742\u7684\u786c\u4ef6\u8bbe\u7f6e\uff0c\u5373\u53ef\u76f4\u63a5\u4f7f\u7528\u9884\u7f6e\u597d\u7684\u8fd0\u884c\u73af\u5883\u3002<\/span>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”5\/12″][vc_single_image image=”3042″ img_size=”full” css_animation=”right-to-left”][\/vc_column_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”30px”][vc_separator color=”chino” style=”shadow”][vc_empty_space height=”25px”][\/vc_column][\/vc_row][vc_row row_type=”row” stretch_row_type=”no” css=”.vc_custom_1508912446079{padding-top: 20px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;}” el_class=”wideRow”][vc_column][vc_row_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][vc_column_inner width=”5\/12″ css=”.vc_custom_1486631788620{margin-bottom: 50px !important;}”][vc_single_image image=”3044″ img_size=”full” css_animation=”left-to-right”][\/vc_column_inner][vc_column_inner width=”5\/12″][vc_column_text css_animation=”left-to-right”]<\/p>\n

\u591a\u79cd\u8bbe\u7f6e\uff0c\u8f7b\u677e\u5b89\u88c5<\/span><\/h1>\n

[\/vc_column_text][vc_column_text] AI Lab \u63d0\u4f9b\u591a\u79cd\u4e0d\u540c\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u6bd4\u5982 Tensorflow \u548c Caffe\u3002\u5b83\u540c\u65f6\u4e3a\u8fd0\u884c\u5728 GPU \u548c FPGA \u4e0a\u7684\u9879\u76ee\u63d0\u4f9b\u673a\u5668\u5b66\u4e60\u7684\u8f6f\u4ef6\u548c\u5e93\u3002\u65e0\u8bba\u4f7f\u7528\u7684\u662f Python\uff0cC++\uff0c\u8fd8\u662f R\uff0c\u60a8\u90fd\u518d\u4e5f\u4e0d\u5fc5\u62c5\u5fc3\u517c\u5bb9\u6027\u548c\u590d\u6742\u7684\u5b89\u88c5\u4e86\u3002<\/span>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”20px”][vc_separator color=”chino” style=”shadow”][vc_empty_space height=”30″][vc_row_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][vc_column_inner width=”5\/12″ css=”.vc_custom_1486631788620{margin-bottom: 50px !important;}”][vc_column_text css_animation=”right-to-left”]<\/p>\n

\u6709 WiFi\uff0c\u5c31\u6709 AI <\/span><\/h1>\n

[\/vc_column_text][vc_column_text]\u6ce8\u518c\u597d\u00a0Plunify Cloud<\/a> \u8d26\u6237\u540e\uff0c\u53ea\u6709\u6709\u7f51\u7edc\uff0c\u60a8\u53ef\u4ee5\u5728\u4efb\u4f55\u65f6\u95f4\u3001\u4efb\u4f55\u5730\u70b9\u767b\u9646 AI Lab<\/a>\u3002<\/span><\/p>\n

\u60a8\u53ea\u9700\u4e00\u53f0\u6709\u6d4f\u89c8\u5668\u7684\u7535\u8111\uff0c\u5373\u4fbf\u662f\u4e0a\u7f51\u672c\u4e5f\u53ef\u4ee5\uff0c\u4e0d\u7528\u4efb\u4f55\u989d\u5916\u7684\u786c\u4ef6\u6216\u8f6f\u4ef6\u3002\u767b\u9646\u540e\uff0c\u9009\u62e9\u60a8\u9700\u8981\u7684\u5de5\u5177\u4e0e\u670d\u52a1\u5668\uff0c\u7136\u540e\u5f00\u542f\u9884\u7f6e\u597d\u7684\u4e91\u73af\u5883\u5373\u53ef\u3002<\/span><\/p>\n

\u5728\u4e91\u7aef\u8fd0\u884c AI \u4ece\u672a\u5982\u6b64\u4fbf\u5229\uff01\u00a0<\/span>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”5\/12″][vc_raw_html]JTNDaWZyYW1lJTIwY2xhc3MlM0QlMjJlbWJlZC1yZXNwb25zaXZlLWl0ZW0lMjB2aWRlb1NoYWRvdyUyMiUyMGlkJTNEJTIyeW91a3VWaWRlbyUyMiUyMHNyYyUzRCUyMiUyRiUyRnBsYXllci55b3VrdS5jb20lMkZlbWJlZCUyRlhNemMxTlRJNU1qazROQSUzRCUzRCUyMiUyMGZyYW1lYm9yZGVyJTNEJTIyMCUyMiUyMGFsbG93ZnVsbHNjcmVlbiUzRCUyMmFsbG93ZnVsbHNjcmVlbiUyMiUyMHdpZHRoJTNEOTAlMjUlM0UlMEElM0MlMkZpZnJhbWUlM0U=[\/vc_raw_html][vc_raw_js]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[\/vc_raw_js][\/vc_column_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”30px”][\/vc_column][\/vc_row][vc_row row_type=”row” stretch_row_type=”no” el_class=”wideRow”][vc_column][vc_separator color=”chino” style=”shadow”][vc_empty_space height=”20px”][vc_row_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][vc_column_inner width=”5\/12″][vc_single_image image=”3233″ img_size=”full” css_animation=”left-to-right”][\/vc_column_inner][vc_column_inner width=”5\/12″][vc_column_text css_animation=”left-to-right”]<\/p>\n

\u5206\u949f\u8ba1\u8d39\uff0c\u4ef7\u683c\u7075\u6d3b<\/span><\/h1>\n

[\/vc_column_text][vc_column_text]AI Lab \u4f7f\u7528\u00a0Plunify Cloud \u4e91\u5e01<\/strong>\u6765\u8ba1\u7b97\u4ef7\u683c\u3002\u6240\u9700\u4e91\u5e01\u7684\u6570\u91cf\u53d6\u51b3\u4e8e\u670d\u52a1\u5668\u7c7b\u522b\u3001\u4e91\u7aef Vivado \u8bb8\u53ef\u8bc1\uff0c\u4ee5\u53ca\u8fd0\u884c\u65f6\u95f4\u3002<\/span><\/p>\n

\u670d\u52a1\u5668\u548c\u8bb8\u53ef\u8bc1\u7684\u4f7f\u7528\u65f6\u95f4\u5747\u4ee5\u5206\u949f\u4e3a\u5355\u4f4d\u8ba1\u7b97\u3002\u6bcf\u4e2a\u4e91\u5e01\u5927\u7ea6\u4e3a\u4eba\u6c11\u5e01\u4e03\u6bdb\u94b1\u3002<\/span>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/12″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_type=”row” stretch_row_type=”no” el_class=”wideRow” css=”.vc_custom_1549522107685{padding-right: 20px !important;padding-left: 20px !important;background-image: url(https:\/\/www.plunify.com\/cn\/wp-content\/uploads\/sites\/10\/2019\/02\/Semiconductor2.jpg?id=3221) !important;}”][vc_column][vc_empty_space height=”50px”][vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text css_animation=”top-to-bottom”]<\/p>\n

Plunify Cloud \u4ef7\u683c\u660e\u7ec6<\/span><\/h1>\n

[\/vc_column_text][vc_column_text css=”.vc_custom_1549529342798{padding-top: 40px !important;padding-right: 40px !important;padding-bottom: 40px !important;padding-left: 40px !important;background-color: rgba(3,3,3,0.6) !important;*background-color: rgb(3,3,3) !important;}”]Plunify Cloud \u4e3a AI Lab \u4e0a\u4e0d\u540c\u7684\u5de5\u4f5c\u6d41\u7a0b\u63d0\u4f9b\u591a\u79cd\u670d\u52a1\u5668\u914d\u7f6e\u548c\u5de5\u5177\u3002\u4e0b\u8868\u662f\u51e0\u79cd\u793a\u4f8b\u914d\u7f6e\u6bcf\u5c0f\u65f6\u7684\u6536\u8d39\u8bf4\u660e\u3002\u6b32\u77e5\u5b8c\u5168\u7684\u4ef7\u683c\u4fe1\u606f\uff0c\u8bf7\u70b9\u51fb\u8fd9\u91cc<\/a><\/u>\u3002<\/span>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_id=”pricingRow”][vc_column_inner width=”1\/3″][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n
\u5185\u5b58\u578b\u914d\u7f6e\u793a\u4f8b<\/th>\n<\/tr>\n
\u6982\u89c8<\/th>\n\u4e91\u5e01\/\u5c0f\u65f6<\/th>\n<\/tr>\n<\/thead>\n
\n

\u670d\u52a1\u5668 – RA1<\/strong><\/p>\n

    \n
  • 2.3 GHz \u81f3\u5f3a E5-2686 v4<\/li>\n
  • 2 vCPU<\/li>\n
  • \u5185\u5b58: 15.25 GiB<\/li>\n<\/ul>\n<\/td>\n
3.1<\/strong><\/td>\n<\/tr>\n
\u5de5\u5177 – Vivado 2018.3<\/strong><\/td>\n2.9<\/strong><\/td>\n<\/tr>\n
\u603b\u8ba1<\/strong><\/td>\n6.0<\/strong><\/td>\n<\/tr>\n
\u6bcf\u5c0f\u65f6\u4ef7\u683c: \u00a54.2<\/th>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n
\u8ba1\u7b97\u578b\u914d\u7f6e\u793a\u4f8b<\/th>\n<\/tr>\n
\u6982\u89c8<\/th>\n\u4e91\u5e01\/\u5c0f\u65f6<\/th>\n<\/tr>\n<\/thead>\n
\n

\u670d\u52a1\u5668 – CA1<\/strong><\/p>\n

    \n
  • 3.0 GHz Intel \u81f3\u5f3a Platinum<\/li>\n
  • 2 vCPU<\/li>\n
  • \u5185\u5b58: 4 GiB<\/li>\n<\/ul>\n<\/td>\n
2.5<\/strong><\/td>\n<\/tr>\n
\u5de5\u5177 – Vivado 2018.3<\/strong><\/td>\n2.9<\/strong><\/td>\n<\/tr>\n
\u603b\u8ba1Total<\/strong><\/td>\n5.4<\/strong><\/td>\n<\/tr>\n
\u6bcf\u5c0f\u65f6\u4ef7\u683c: \u00a53.7<\/th>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n
\u6027\u80fd\u578b\u914d\u7f6e\u793a\u4f8b<\/th>\n<\/tr>\n
\u6982\u89c8<\/th>\n\u4e91\u5e01\/\u5c0f\u65f6<\/th>\n<\/tr>\n<\/thead>\n
\n

\u670d\u52a1\u5668 – ZA1<\/strong><\/p>\n

    \n
  • 4.0 GHz \u5b9a\u5236\u7248\u81f3\u5f3a<\/li>\n
  • 2 vCPU<\/li>\n
  • \u5185\u5b58: 16 GiB<\/li>\n<\/ul>\n<\/td>\n
3.7<\/strong><\/td>\n<\/tr>\n
\u5de5\u5177 – Vivado 2018.3<\/strong><\/td>\n2.9<\/strong><\/td>\n<\/tr>\n
\u603b\u8ba1<\/strong><\/td>\n6.6<\/strong><\/td>\n<\/tr>\n
\u6bcf\u5c0f\u65f6\u4ef7\u683c: \u00a54.6<\/th>\n<\/tr>\n<\/tbody>\n<\/table>\n

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