{"id":2614,"date":"2025-03-10T17:41:24","date_gmt":"2025-03-11T00:41:24","guid":{"rendered":"https:\/\/co7z2i3651.wpdns.site\/?p=2614"},"modified":"2025-03-10T17:45:40","modified_gmt":"2025-03-11T00:45:40","slug":"enclustra-redefines-rf-performance-and-programmability-in-a-compact-low-power-package-2","status":"publish","type":"post","link":"https:\/\/test.enclustra.com.cn\/zh\/enclustra-redefines-rf-performance-and-programmability-in-a-compact-low-power-package-2\/","title":{"rendered":"Enclustra \u91c7\u7528\u7d27\u51d1\u578b\u4f4e\u529f\u8017\u5c01\u88c5\uff0c\u91cd\u65b0\u5b9a\u4e49\u4e86\u5c04\u9891\u6027\u80fd\u548c\u53ef\u7f16\u7a0b\u6027\u00a0"},"content":{"rendered":"<p><em>Enclustra \u7684 Andromeda XRU50 RFSoC \u6a21\u5757\u4e3a\u57fa\u4e8e FPGA \u7684\u65b0\u5174\u5c04\u9891\u5e94\u7528\u5e26\u6765\u4e86\u5c16\u7aef\u529f\u80fd\u548c\u65e0\u4e0e\u4f26\u6bd4\u7684\u7075\u6d3b\u6027\u3002&nbsp;<\/em><\/p>\n\n\n\n<p><strong>\u4eae\u70b9&nbsp;<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Andromeda XRU50 \u96c6\u6210\u4e86 AMD \u7684 Zynq\u2122 UltraScale+\u2122 RFSoC\uff0c\u53ef\u652f\u6301 5G \u901a\u4fe1\u3001\u76f8\u63a7\u9635\u96f7\u8fbe\u89e3\u51b3\u65b9\u6848\u548c\u91cf\u5b50\u8ba1\u7b97\u4e2d\u8981\u6c42\u82db\u523b\u7684\u5c04\u9891\u5e94\u7528\u3002<\/li>\n\n\n\n<li>\u8be5\u6a21\u5757\u7a81\u7834\u4e86 FPGA \u6280\u672f\u5728\u5c04\u9891\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528\u754c\u9650\uff0c\u5c06\u9ad8\u6027\u80fd\u3001\u7075\u6d3b\u6027\u4e0e\u5feb\u901f\u7b80\u5355\u7684\u96c6\u6210\u878d\u4e3a\u4e00\u4f53\u3002<\/li>\n\n\n\n<li>\u516b\u4e2a\u6570\u6a21\u548c\u6a21\u6570\u5c04\u9891\u8f6c\u6362\u5668\u53ef\u76f4\u63a5\u5408\u6210\u5c04\u9891\u4fe1\u53f7\uff0c\u65e0\u9700\u989d\u5916\u7684\u6a21\u62df\u7535\u8def\u3002<\/li>\n\n\n\n<li>\u89c2\u770b <a href=\"https:\/\/youtu.be\/vYwo4jfZP_Q?si=RxgnQ5iDTIaU7aPC\">Andromeda XRU50 RFSoC \u89c6\u9891<\/a>.<\/li>\n<\/ul>\n\n\n\n<p><strong>2025 \u5e74 3 \u6708 11 \u65e5\uff0c\u5fb7\u56fd\u7ebd\u4f26\u5821\u3002 <\/strong>\u57282025\u5e74\u5d4c\u5165\u5f0f\u4e16\u754c\u5927\u4f1a\u4e0a\uff0cEnclustra\u516c\u53f8\u5ba3\u5e03\u63a8\u51faAndromeda XRU50\u5c04\u9891\u7247\u4e0a\u7cfb\u7edf\uff08RFSoC\uff09\u6a21\u5757\uff0c\u8be5\u6a21\u5757\u91c7\u7528\u7d27\u51d1\u578b\u9ad8\u80fd\u6548\u5c01\u88c5\uff0c\u5177\u6709\u9769\u547d\u6027\u7684\u5c04\u9891\u6027\u80fd\u548c\u53ef\u7f16\u7a0b\u6027\u3002\u8be5\u6a21\u5757\u6269\u5c55\u4e86\u677f\u8f7d AMD Zynq\u2122 UltraScale+\u2122 RFSoC \u7684\u529f\u80fd\uff0c\u65e8\u5728\u63d0\u4f9b\u5b8c\u6574\u7684\u5355\u82af\u7247\u8f6f\u4ef6\u5b9a\u4e49\u65e0\u7ebf\u7535\u5e73\u53f0\u3002Andromeda XRU50 \u652f\u6301\u8981\u6c42\u82db\u523b\u7684\u5c04\u9891\u5e94\u7528\uff0c\u5305\u62ec 5G \u65e0\u7ebf\u901a\u4fe1\u3001\u76f8\u63a7\u9635\u96f7\u8fbe\u548c\u91cf\u5b50\u8ba1\u7b97\u3002\"Enclustra \u521b\u65b0\u526f\u603b\u88c1 Ga\u00ebl Paul \u8868\u793a\uff1a\"\u5bf9\u589e\u5f3a\u578b\u5c04\u9891\u4fe1\u53f7\u5904\u7406\u80fd\u529b\u7684\u9700\u6c42\u6b63\u5728\u98d9\u5347\uff0c\u7279\u522b\u662f\u5bf9\u5c3a\u5bf8\u53d7\u9650\u7684\u5206\u6563\u5f0f\u89e3\u51b3\u65b9\u6848\u3002\"\u6211\u4eec\u5bf9\u8fd9\u4e00\u8d8b\u52bf\u7684\u56de\u5e94\u5c31\u662f Andromeda XRU50 RFSoC\uff0c\u5b83\u6709\u6548\u5730\u7b80\u5316\u4e86\u4e0b\u4e00\u4ee3\u57fa\u4e8e FPGA \u7684\u590d\u6742\u5c04\u9891\u7cfb\u7edf\u7684\u5f00\u53d1\u8fc7\u7a0b\"\u3002 <\/p>\n\n\n\n<p><strong>\u63d0\u4f9b\u65b0\u4e00\u4ee3\u5c04\u9891\u6027\u80fd <\/strong><\/p>\n\n\n\n<p>Andromeda XRU50 RFSoC \u7b80\u5316\u4e86 AMD Zynq\u2122 UltraScale+\u2122 RFSoC \u4e0e\u7ec8\u7aef\u4ea7\u54c1\u7684\u96c6\u6210\u3002AMD \u5e73\u53f0\u5c06 FPGA \u7ed3\u6784\u4e0e 93 \u4e07\u4e2a\u7cfb\u7edf\u903b\u8f91\u5355\u5143\u3001\u56db\u4e2a Cortex-A53 1.3 GHz \u5904\u7406\u5668\u3001\u4e24\u4e2a Cortex-R5F 533 MHz \u5904\u7406\u5668\u4ee5\u53ca\u516b\u4e2a\u6570\u6a21\u548c\u6a21\u6570\u5c04\u9891\u8f6c\u6362\u5668\u7ed3\u5408\u5728\u4e00\u8d77\uff0c\u63d0\u4f9b\u4e86\u5145\u8db3\u7684\u6027\u80fd\u548c\u7075\u6d3b\u6027\uff0c\u4ee5\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684\u9700\u6c42\u3002\u00a0<\/p>\n\n\n\n<p>80 x 64 \u6beb\u7c73\u7684 Andromeda XRU50 \u53ef\u8ba9\u4ea7\u54c1\u5f00\u53d1\u4eba\u5458\u8f7b\u677e\u8bbf\u95ee Zynq\u2122 UltraScale+\u2122 RFSoC \u7684 200 \u591a\u4e2a\u53ef\u7f16\u7a0b\u903b\u8f91 I\/O\u300120 \u4e2a\u591a\u5343\u5146\u4f4d\u6536\u53d1\u5668\u548c 32 GB \u6a21\u5757\u4e0a\u5b58\u50a8\u5668\u3002\u652f\u6301\u5343\u5146\u4f4d\u4ee5\u592a\u7f51\u3001USB 3.0\u3001PCIe \u548c DDR4 \u5185\u5b58\u63a5\u53e3\uff0c\u786e\u4fdd\u7075\u6d3b\u7684\u7cfb\u7edf\u8fde\u63a5\u3002&nbsp;<\/p>\n\n\n\n<p>\u672a\u6765\u7684\u4ea7\u54c1\u578b\u53f7\u5c06\u63d0\u4f9b 16 \u4e2a\u6570\u6a21\u548c\u6a21\u6570\u5c04\u9891\u8f6c\u6362\u5668\u3002&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"598\" height=\"478\" data-id=\"2619\" src=\"https:\/\/test.enclustra.com.cn\/wp-content\/uploads\/2025\/03\/enclustra_redefines_rf_performance_compact_low-power-package_am_xru50_rfsoc-march-20252.jpg\" alt=\"enclustra redefines rf performance compact low power package am xru50 rfsoc march 20252\" class=\"wp-image-2619\" srcset=\"https:\/\/test.enclustra.com.cn\/wp-content\/uploads\/2025\/03\/enclustra_redefines_rf_performance_compact_low-power-package_am_xru50_rfsoc-march-20252.jpg 598w, https:\/\/test.enclustra.com.cn\/wp-content\/uploads\/2025\/03\/enclustra_redefines_rf_performance_compact_low-power-package_am_xru50_rfsoc-march-20252-15x12.jpg 15w\" sizes=\"(max-width: 598px) 100vw, 598px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"600\" height=\"480\" data-id=\"2618\" src=\"https:\/\/test.enclustra.com.cn\/wp-content\/uploads\/2025\/03\/enclustra_redefines_rf_performance_compact_low-power-package_am_xru50_rfsoc-march-20253.jpg\" alt=\"enclustra redefines rf performance compact low power package am xru50 rfsoc march 20253\" class=\"wp-image-2618\" srcset=\"https:\/\/test.enclustra.com.cn\/wp-content\/uploads\/2025\/03\/enclustra_redefines_rf_performance_compact_low-power-package_am_xru50_rfsoc-march-20253.jpg 600w, https:\/\/test.enclustra.com.cn\/wp-content\/uploads\/2025\/03\/enclustra_redefines_rf_performance_compact_low-power-package_am_xru50_rfsoc-march-20253-15x12.jpg 15w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/figure>\n<\/figure>\n\n\n\n<p><em>Andromeda XRU50 RFSoC - \u6b63\u9762\u548c\u80cc\u9762\uff1b <\/em><em>\u5c0f\u5c3a\u5bf8\u4ed9\u5973\u5ea7 L 80 \u00d7 64 \u6beb\u7c73&nbsp;<\/em><\/p>\n\n\n\n<p><strong>\u63a8\u52a8 FPGA \u7684\u53d1\u5c55\uff0c\u5b9e\u73b0\u65b0\u5174\u5e94\u7528&nbsp;<\/strong><\/p>\n\n\n\n<p>Andromeda XRU50 RFSoC \u7684\u67b6\u6784\u4ece\u5e95\u5c42\u5f00\u59cb\u8bbe\u8ba1\uff0c\u65e8\u5728\u5145\u5206\u91ca\u653e 5G \u65e0\u7ebf\u901a\u4fe1\u7f51\u7edc\u7684\u6f5c\u529b\uff0c\u4fc3\u8fdb\u5927\u89c4\u6a21 MIMO \u5929\u7ebf\u548c\u6ce2\u675f\u6210\u5f62\u9635\u5217\u7684\u90e8\u7f72\u3002\u5b9e\u73b0\u52a8\u6001\u548c\u81ea\u9002\u5e94\u6ce2\u675f\u6210\u5f62\u53ef\u63d0\u9ad8\u96f7\u8fbe\u7cfb\u7edf\u8ddf\u8e2a\u548c\u8bc6\u522b\u76ee\u6807\u7684\u6027\u80fd\u3002\u5728\u91cf\u5b50\u8ba1\u7b97\u9886\u57df\uff0cRFSoC \u6280\u672f\u53d1\u6325\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002\u5b83\u7684\u9ad8\u901f\u3001\u4f4e\u5ef6\u8fdf\u5904\u7406\u6280\u672f\u80fd\u591f\u4ea7\u751f\u7cbe\u786e\u7684\u5fae\u6ce2\u8109\u51b2\uff0c\u8fd9\u5bf9\u4e8e\u63a7\u5236\u91cf\u5b50\u8ba1\u7b97\u673a\u4e2d\u91cf\u5b50\u6bd4\u7279\u7684\u72b6\u6001\uff080 \u6216 1\uff09\u81f3\u5173\u91cd\u8981\u3002&nbsp;<\/p>\n\n\n\n<p>\u5c3d\u7ba1\u8be5\u6a21\u5757\u5916\u5f62\u5c0f\u5de7\uff0c\u4f46\u5176\u7cbe\u5fc3\u7684\u8bbe\u8ba1\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u4e86\u76f8\u90bb\u6570\u6a21\u8f6c\u6362\u5668\u901a\u9053\u4e4b\u95f4\u7684\u4e32\u6270\uff0c\u7a81\u7834\u4e86 FPGA \u6280\u672f\u7684\u6781\u9650\uff0c\u786e\u4fdd\u4e86\u5728\u5177\u6709\u6311\u6218\u6027\u7684\u4fe1\u53f7\u73af\u5883\u4e2d\u7684\u53ef\u9760\u6027\u80fd\u3002&nbsp;<\/p>\n\n\n\n<p><strong>\u53ef\u7528\u4e8e\u6d4b\u8bd5\u548c\u9a8c\u8bc1&nbsp;<\/strong><\/p>\n\n\n\n<p>\u4e13\u7528\u7684 Andromeda PB5 \u57fa\u677f\u6709\u52a9\u4e8e Andromeda SoC \u6a21\u5757\u7684\u6d4b\u8bd5\u548c\u65e0\u7f1d\u5b9e\u65bd\u3002\u5b83\u5177\u6709\u5e7f\u6cdb\u7684 I\/O \u63a5\u53e3\uff0c\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u5e73\u53f0\uff0c\u53ef\u6709\u6548\u8bc4\u4f30\u548c\u96c6\u6210\u591a\u8fbe\u516d\u4e2a\u72ec\u7acb Andromeda \u6a21\u5757\u7684\u89e3\u51b3\u65b9\u6848\u3002&nbsp;<\/p>\n\n\n\n<p>\u9644\u52a0\u7684\u5c04\u9891\u524d\u7aef\u677f\u5177\u6709 22 \u4e2a\u5c04\u9891\u8fde\u63a5\u5668\u548c\u96c6\u6210\u7684\u5c04\u9891\u65f6\u949f\u7ba1\u7406\u529f\u80fd\uff0c\u4fbf\u4e8e\u4e0e FPGA \u6a21\u5757\u7684\u5c04\u9891\u529f\u80fd\u8fdb\u884c\u63a5\u53e3\u3002\u9664\u4e86\u52a0\u5feb\u57fa\u4e8e\u5c04\u9891\u7684\u7cfb\u7edf\u5f00\u53d1\u5916\uff0c\u8be5\u7535\u8def\u677f\u8fd8\u80fd\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u7075\u6d3b\u6027\uff0c\u4ee5\u6ee1\u8db3\u5404\u79cd\u5c04\u9891\u8981\u6c42\uff0c\u540c\u65f6\u786e\u4fdd\u9ad8\u8d28\u91cf\u7684\u4fe1\u53f7\u4f20\u8f93\u3002 <\/p>\n\n\n\n<p><strong>\u65e9\u671f\u4f7f\u7528\u8ba1\u5212&nbsp;<\/strong><\/p>\n\n\n\n<p>Andromeda XRU50 RFSoC \u6a21\u5757\u76ee\u524d\u53ef\u901a\u8fc7 \"\u65e9\u671f\u8bbf\u95ee\u8ba1\u5212 \"\u83b7\u5f97\uff0c\u8be5\u8ba1\u5212\u53ef\u8ba9\u7ec8\u7aef\u8bbe\u5907\u5236\u9020\u5546\u7387\u5148\u4f53\u9a8c\u5176\u72ec\u7279\u529f\u80fd\uff0c\u800c\u5de5\u7a0b\u6837\u54c1\u5219\u53ef\u8f7b\u677e\u8bbf\u95ee\u6700\u5e38\u7528\u7684\u63a5\u53e3\u3002&nbsp;<\/p>\n\n\n\n<p>\u8981\u4e86\u89e3\u6709\u5173 Andromeda XRU50 RFSoC \u7684\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u8bbf\u95ee Andromeda XRU50 RFSoC \u4ea7\u54c1\u9875\u9762\uff0c\u5e76\u901a\u8fc7\u6211\u4eec\u7684\u8bbe\u8ba1\u670d\u52a1\u54a8\u8be2\u8868\u8ba8\u8bba\u60a8\u7684\u9879\u76ee\u3002&nbsp;<\/p>\n\n\n\n<p><strong>\u5173\u4e8e Enclustra GmbH&nbsp;<\/strong><\/p>\n\n\n\n<p>Enclustra \u662f\u4e00\u5bb6\u521b\u65b0\u3001\u5145\u6ee1\u6d3b\u529b\u3001\u4e0d\u65ad\u53d1\u5c55\u7684 FPGA \u8bbe\u8ba1\u516c\u53f8\uff0c\u603b\u90e8\u4f4d\u4e8e\u745e\u58eb\u82cf\u9ece\u4e16\uff0c\u5728\u5fb7\u56fd\u3001\u6cd5\u56fd\u3001\u7f8e\u56fd\u548c\u4e2d\u56fd\u8bbe\u6709\u5b50\u516c\u53f8\u3002&nbsp;<\/p>\n\n\n\n<p>\u4f5c\u4e3a FPGA \u8bbe\u8ba1\u548c\u5f00\u53d1\u9886\u57df\u7684\u9886\u5bfc\u8005\uff0cEnclustra \u4e3a\u5de5\u4e1a\u5ba2\u6237\u548c\u7814\u53d1\u673a\u6784\u63d0\u4f9b\u57fa\u4e8e FPGA \u7684\u7535\u5b50\u6a21\u5757\u4ea7\u54c1\u7ec4\u5408\u548c FPGA \u4f18\u5316 IP \u89e3\u51b3\u65b9\u6848\u3002\u4e0e\u6b64\u540c\u65f6\uff0cEnclustra \u8fd8\u5728 FPGA \u7cfb\u7edf\u8bbe\u8ba1\u65b9\u9762\u63d0\u4f9b\u9886\u5148\u7684\u5de5\u7a0b\u670d\u52a1\uff0c\u6db5\u76d6\u57fa\u4e8e FPGA \u7684\u7cfb\u7edf\u5f00\u53d1\u7684\u6574\u4e2a\u8fc7\u7a0b\uff1a\u4ece\u9ad8\u901f\u786c\u4ef6\u6216 HDL \u56fa\u4ef6\u5230\u5d4c\u5165\u5f0f\u8f6f\u4ef6\uff0c\u4ece\u7cfb\u7edf\u8bbe\u8ba1\u3001\u89c4\u8303\u3001\u5b9e\u65bd\u5230\u539f\u578b\u5f00\u53d1\u3002&nbsp;<\/p>\n\n\n\n<p>Enclustra \u5229\u7528\u6211\u4eec\u5728\u5c16\u7aef FPGA \u6280\u672f\u65b9\u9762\u7684\u4e13\u4e1a\u77e5\u8bc6\u548c\u4e30\u5bcc\u7684\u5e94\u7528\u77e5\u8bc6\uff0c\u4e3a\u5404\u884c\u5404\u4e1a\u63d0\u4f9b\u9ad8\u6027\u80fd\u89e3\u51b3\u65b9\u6848\uff0c\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u5f00\u53d1\u5de5\u4f5c\u91cf\uff0c\u52a0\u5feb\u4ea7\u54c1\u4e0a\u5e02\u901f\u5ea6\u3002&nbsp;<\/p>\n\n\n\n<p><strong>\u5a92\u4f53\u8054\u7cfb\u65b9\u5f0f&nbsp;<\/strong><\/p>\n\n\n\n<p>Enclustra GmbH&nbsp;<br>\u83ab\u59ae\u5361-\u6851\u5207\u65af-\u6885\u8428&nbsp;<br>\u5168\u7403\u8425\u9500\u7ecf\u7406&nbsp;<br>Enclustra GmbH | FPGA L\u00f6sungen&nbsp;<br>R\u00e4ffelstrasse 28 | CH-8045 Z\u00fcrich | \u745e\u58eb&nbsp;<br>\u7535\u8bdd\uff1a +41 44 244 39 43+41 44 244 39 43&nbsp;<br>monica.sanchezmeza@enclustra.com |&nbsp;<\/p>\n\n\n\n<p>www.enclustra.com&nbsp;<br>\u5173\u6ce8\u6211\u4eec <a href=\"https:\/\/www.linkedin.com\/company\/enclustra\/?viewAsMember=true\">LinkedIn<\/a>, <a href=\"https:\/\/x.com\/Enclustra\">X<\/a> \uff0c\u548c <a href=\"https:\/\/www.youtube.com\/@Enclustra\">YouTube<\/a>.&nbsp;<\/p>\n\n\n\n<p>\u672c\u7f51\u9875\u6240\u542b\u4fe1\u606f\u5982\u6709\u53d8\u66f4\uff0c\u6055\u4e0d\u53e6\u884c\u901a\u77e5\u3002\u5b9e\u9645\u4ea7\u54c1\u7684\u5916\u89c2\u53ef\u80fd\u4e0e\u7f51\u9875\u4e0a\u7684\u56fe\u7247\u6709\u6240\u4e0d\u540c\u3002&nbsp;<\/p>\n\n\n\n<p>\u6240\u6709\u5546\u6807\u5747\u4e3a\u5176\u5404\u81ea\u6240\u6709\u8005\u7684\u8d22\u4ea7\u3002&nbsp;<\/p>\n\n\n\n<p>\u7248\u6743\u6240\u6709 \u00a9 2024 Enclustra GmbH\u3002\u4fdd\u7559\u6240\u6709\u6743\u5229\u3002&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>Enclustra \u57282025\u5e74\u5d4c\u5165\u5f0f\u5c55\u4f1a\u4e0a\u53d1\u5e03 Andromeda XRU50 RFSoC 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