{"id":4509,"date":"2025-11-05T11:12:00","date_gmt":"2025-11-05T11:12:00","guid":{"rendered":"https:\/\/lp.szlogic.cn\/knowledge-center\/cpu-vs-gpu-vs-tpu-vs-npu-architecture-comparison-explained\/"},"modified":"2026-06-22T05:33:53","modified_gmt":"2026-06-22T05:33:53","slug":"cpu-vs-gpu-vs-tpu-vs-npu-architecture-comparison-explained","status":"publish","type":"post","link":"https:\/\/resourceslp.szlogic.cn\/id\/knowledge-center\/cpu-vs-gpu-vs-tpu-vs-npu-architecture-comparison-explained","title":{"rendered":"Memahami Perbedaan CPU vs GPU vs TPU vs NPU dalam Sistem AI Modern"},"content":{"rendered":"<figure class=\"wp-block-image aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1200\" height=\"712\" src=\"https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/0bc0ebf4840d42efa3bfdc4b846ffe57.webp\" alt=\"CPU vs GPU vs TPU vs NPU in AI Systems\" class=\"wp-image-4506\" srcset=\"https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/0bc0ebf4840d42efa3bfdc4b846ffe57.webp 1200w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/0bc0ebf4840d42efa3bfdc4b846ffe57-300x178.webp 300w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/0bc0ebf4840d42efa3bfdc4b846ffe57-1024x608.webp 1024w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/0bc0ebf4840d42efa3bfdc4b846ffe57-768x456.webp 768w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/0bc0ebf4840d42efa3bfdc4b846ffe57-18x12.webp 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">AI, <a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/knowledge-center\/what-is-cloud-computing-access-servers-storage-apps-online\/\">komputasi awan<\/a>, dan perangkat tepi cerdas sedang mendefinisikan ulang cara kita merancang sistem komputasi. Istilah-istilah seperti <strong>CPU<\/strong>, <strong>GPU<\/strong>, <strong>TPU<\/strong>, and <strong>NPU<\/strong> kini menjadi pusat pembahasan seputar pelatihan model, efisiensi inferensi, dan kinerja sistem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Meskipun keempatnya memproses data, masing-masing dioptimalkan untuk beban kerja yang berbeda. Panduan ini menjelaskan perbedaan arsitektural, fokus kinerja, serta penerapan praktisnya dalam sistem AI modern.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605<\/strong> Apa Itu CPU? (Unit Pemrosesan Pusat)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Kendali dan Komputasi Umum-Tujuan<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The <a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/what-is-cpu-central-processing-unit\/\"><strong>CPU<\/strong><\/a> adalah prosesor umum-tujuan dasar dalam sistem komputasi. CPU menekankan <strong>eksekusi berlatensi rendah<\/strong>, logika cabang kompleks, dan orkestrasi sistem.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Karakteristik utama<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Pipa multi-tahap dan prediksi cabang<\/p><\/li>\n\n\n\n<li><p>Hierarki cache besar<\/p><\/li>\n\n\n\n<li><p>Dioptimalkan untuk beban kerja berurutan dan campuran<\/p><\/li>\n\n\n\n<li><p>Menangani sistem operasi, I\/O, penjadwalan, dan logika aplikasi umum<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Ideal untuk<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Orkestrasi sistem dan tugas sistem operasi<\/p><\/li>\n\n\n\n<li><p>Operasi basis data dan logika API<\/p><\/li>\n\n\n\n<li><p>Pra-\/pasca-pemrosesan untuk model AI<\/p><\/li>\n\n\n\n<li><p>Tumpukan jaringan dan bidang kendali<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Keterbatasan<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Throughput paralel lebih rendah dibanding GPU dan akselerator<\/p><\/li>\n\n\n\n<li><p>Biaya per operasi AI lebih tinggi<\/p><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605<\/strong> Apa Itu GPU? (Unit Pemrosesan Grafis)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Komputasi Paralel Tinggi untuk Pelatihan ML<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Awalnya dibangun untuk grafis, <a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/what-is-a-gpu-graphics-processing-units\/\"><strong>GPU<\/strong><\/a> unggul dalam <strong>operasi titik-kambang paralel dalam skala besar<\/strong>, sehingga mendominasi pelatihan pembelajaran mendalam.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Karakteristik utama<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Ribuan ALU SIMD\/SIMT<\/p><\/li>\n\n\n\n<li><p>Throughput FP16\/FP32 tinggi<\/p><\/li>\n\n\n\n<li><p>Sangat efisien untuk beban kerja matriks dan tensor<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Terbaik untuk<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Pelatihan model pembelajaran mendalam<\/p><\/li>\n\n\n\n<li><p><a href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/what-is-hpc-high-performance-computing\/\" target=\"_blank\" rel=\"\">Komputasi kinerja tinggi (HPC)<\/a><\/p><\/li>\n\n\n\n<li><p>Rendering, simulasi, akselerasi video<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Keterbatasan<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Konsumsi daya tinggi<\/p><\/li>\n\n\n\n<li><p>Kurang efisien untuk logika non-paralel<\/p><\/li>\n\n\n\n<li><p>Memerlukan kerangka kerja dan kernel yang dioptimalkan<\/p><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605<\/strong> Apa Itu TPU? (Unit Pemrosesan Tensor)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Akselerator AI Khusus Google<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A <a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/tpu-tensor-processing-unit-google-ai-accelerator\/\"><strong>TPU (Unit Pemrosesan Tensor)<\/strong><\/a> adalah ASIC AI khusus domain yang dikembangkan Google untuk <strong>perkalian matriks dan operasi tensor<\/strong>, yang banyak digunakan dalam pelatihan dan inferensi ML berskala besar.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Ciri arsitektur utama<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Unit komputasi susunan sistolik<\/p><\/li>\n\n\n\n<li><p>Memori on-chip berbandwidth tinggi<\/p><\/li>\n\n\n\n<li><p>Dioptimalkan untuk TensorFlow dan model transformer besar<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Terbaik untuk<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>AI berskala cloud dan pelatihan LLM<\/p><\/li>\n\n\n\n<li><p>Inferensi ber-throughput tinggi<\/p><\/li>\n\n\n\n<li><p>Sistem rekomendasi, model ucapan, dan visi<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Keterbatasan<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Terutama tersedia melalui Google Cloud<\/p><\/li>\n\n\n\n<li><p>Lebih sedikit fleksibel dibanding GPU untuk tugas non-AI<\/p><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605<\/strong> Apa Itu NPU? (Unit Pemrosesan Neural)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Inferensi AI Efisien di Perangkat<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">An <a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/npu-neural-processing-unit-architecture-edge-ai-explained\/\"><strong>NPU<\/strong><\/a> mempercepat inferensi pembelajaran mendalam di <strong>lingkungan tepi berdaya rendah<\/strong>. Saat ini telah menjadi standar dalam SoC seluler, chip AI otomotif, dan prosesor IoT industri.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Karakteristik utama<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Jalur eksekusi neural khusus<\/p><\/li>\n\n\n\n<li><p>Dukungan komputasi terkuantisasi (INT8\/INT4)<\/p><\/li>\n\n\n\n<li><p>Kinerja-per-watt tinggi untuk beban kerja AI<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Terbaik untuk<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>AI seluler (penglihatan, ucapan, AR\/VR)<\/p><\/li>\n\n\n\n<li><p>Kamera pintar dan robotika<\/p><\/li>\n\n\n\n<li><p>Otomotif <a href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/what-is-adas-system\/\" target=\"_blank\" rel=\"\">ADAS<\/a> komputasi<\/p><\/li>\n\n\n\n<li><p>LLM lokal dan inferensi tepi<\/p><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Keterbatasan<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Tidak cocok untuk pelatihan berskala besar<\/p><\/li>\n\n\n\n<li><p>Fleksibilitas beban kerja lebih sempit dibanding CPU\/GPU<\/p><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/4dd93454c13b47959397aca90d33749e-1024x683.png\" alt=\"What Is an NPU? (Neural Processing Unit)\" class=\"wp-image-4507\" srcset=\"https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/4dd93454c13b47959397aca90d33749e-1024x683.png 1024w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/4dd93454c13b47959397aca90d33749e-300x200.png 300w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/4dd93454c13b47959397aca90d33749e-768x512.png 768w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/4dd93454c13b47959397aca90d33749e-18x12.png 18w, https:\/\/resourceslp.szlogic.cn\/wp-content\/uploads\/2026\/05\/4dd93454c13b47959397aca90d33749e.png 1536w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605<\/strong> Tabel Perbandingan: CPU vs GPU vs TPU vs NPU<\/h2>\n\n\n\n<figure class=\"wp-block-table\">\n<table class=\"has-fixed-layout\">\n<colgroup><col style=\"min-width: 25px;\"\/><col style=\"min-width: 25px;\"\/><col style=\"min-width: 25px;\"\/><col style=\"min-width: 25px;\"\/><col style=\"min-width: 25px;\"\/><\/colgroup><tbody><tr><th colspan=\"1\" rowspan=\"1\"><p>Fitur<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>CPU<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>GPU<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>TPU<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>NPU<\/p><\/th><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Fokus Utama<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Kendali &amp; logika<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Komputasi paralel<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Komputasi tensor<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Inferensi tepi<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Gaya Komputasi<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Serial + paralel campuran<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Paralel masif<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Susunan sistolik matriks<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Jalur neural<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Keunggulan<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Fleksibilitas<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Pelatihan &amp; HPC<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>AI berskala besar<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>AI berdaya rendah<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Lokasi Terbaik<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Server, PC<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Stasiun kerja, cloud<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Google Cloud<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Perangkat tepi<\/p><\/td><\/tr><\/tbody>\n<\/table>\n<\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605 <\/strong>Skenario Penyebaran Dunia Nyata<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Pusat Data<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>GPU \/ TPU<\/strong> untuk melatih jaringan saraf besar<\/p><\/li>\n\n\n\n<li><p><strong>CPU<\/strong> untuk bidang kendali, penjadwalan, dan I\/O<\/p><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Tepi &amp; Tertanam<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><a href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/npu-neural-processing-unit-architecture-edge-ai-explained\/\" target=\"_blank\" rel=\"\"><strong>NPU<\/strong><\/a> untuk inferensi waktu nyata<\/p><\/li>\n\n\n\n<li><p><strong>CPU<\/strong> mengelola sistem operasi, tugas sistem, dan komputasi cadangan<\/p><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Strategi Komputasi Hibrida<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Tumpukan komputasi modern semakin menggabungkan <strong>CPU + GPU\/TPU + NPU<\/strong> guna mengoptimalkan biaya, latensi, dan efisiensi daya.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605 <\/strong>Infrastruktur Konektivitas &amp; Perangkat Keras<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Platform komputasi berkinerja tinggi memerlukan jaringan dan I\/O yang andal. Antarmuka fisik yang andal menjamin integritas data antara server, akselerator, dan perangkat tepi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Perangkat keras terkait dari <\/strong><a target=\"_blank\" rel=\"\" href=\"https:\/\/www.l-p.com\/\"><strong>LINK-PP<\/strong><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Lingkungan penyimpanan kritis misi dengan latensi rendah <a href=\"https:\/\/www.l-p.com\/store-17516-10g-base-t-rj45-connector.htm\" target=\"_blank\" rel=\"\"><strong>Konektor RJ45<\/strong><\/a> (1G\/2.5G\/10G, PoE)<\/p><\/li>\n\n\n\n<li><p><strong>Magnetics Ethernet &amp; <\/strong><a href=\"https:\/\/www.l-p.com\/store-17548-lan-transformer.htm\" target=\"_blank\" rel=\"\"><strong>Transformator LAN<br><\/strong><\/a><\/p><\/li>\n\n\n\n<li><p><a href=\"https:\/\/www.l-p.com\/store-25432-optics-transceivers-sfp-modules.htm\" target=\"_blank\" rel=\"\"><strong>Modul transceiver optik SFP\/QSFP<\/strong><\/a> untuk jaringan klaster AI<\/p><\/li>\n\n\n\n<li><p>Komponen Ethernet tertanam kelas industri untuk gateway AI tepi<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Komponen-komponen ini mendukung perpindahan data berbandwidth tinggi dan berlatensi rendah \u2014 hal krusial bagi sistem AI terdistribusi.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u2605 <\/strong>Kesimpulan<\/h2>\n\n\n\n<figure class=\"wp-block-table\">\n<table class=\"has-fixed-layout\">\n<colgroup><col style=\"width: 117px;\"\/><col style=\"width: 260px;\"\/><col style=\"min-width: 25px;\"\/><\/colgroup><tbody><tr><th colspan=\"1\" rowspan=\"1\" colwidth=\"117\"><p>Prosesor<\/p><\/th><th colspan=\"1\" rowspan=\"1\" colwidth=\"260\"><p>Peran Utama<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>Penggunaan Terbaik<\/p><\/th><\/tr><tr><td colspan=\"1\" rowspan=\"1\" colwidth=\"117\"><p><a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/what-is-cpu-central-processing-unit\/\"><strong>CPU<\/strong><\/a><\/p><\/td><td colspan=\"1\" rowspan=\"1\" colwidth=\"260\"><p>Komputasi umum-tujuan<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Kendali sistem, komputasi campuran<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\" colwidth=\"117\"><p><a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/what-is-a-gpu-graphics-processing-units\/\"><strong>GPU<\/strong><\/a><\/p><\/td><td colspan=\"1\" rowspan=\"1\" colwidth=\"260\"><p>Mesin komputasi paralel<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Pelatihan AI, beban kerja HPC<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\" colwidth=\"117\"><p><a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/tpu-tensor-processing-unit-google-ai-accelerator\/\"><strong>TPU<\/strong><\/a><\/p><\/td><td colspan=\"1\" rowspan=\"1\" colwidth=\"260\"><p>Akselerator tensor<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Komputasi LLM cloud &amp; pembelajaran mendalam<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\" colwidth=\"117\"><p><a target=\"_blank\" rel=\"\" href=\"https:\/\/resourceslp.szlogic.cn\/id\/glossary\/npu-neural-processing-unit-architecture-edge-ai-explained\/\"><strong>NPU<\/strong><\/a><\/p><\/td><td colspan=\"1\" rowspan=\"1\" colwidth=\"260\"><p>Inferensi AI tepi<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>AI seluler, tertanam, dan otomotif<\/p><\/td><\/tr><\/tbody>\n<\/table>\n<\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Seiring berkembangnya sistem AI di seluruh cloud, tepi, dan perangkat tertanam, masa depan terletak pada <strong>arsitektur komputasi hibrida<\/strong> di mana setiap jenis prosesor beroperasi dalam domain optimalnya.<\/p>","protected":false},"excerpt":{"rendered":"<p>Pelajari perbedaan antara CPU, GPU, TPU, dan NPU. Panduan mendalam ini menjelaskan arsitektur, kasus penggunaan, serta kinerja masing-masing untuk AI, komputasi awan, dan komputasi edge.<\/p>","protected":false},"author":1,"featured_media":4508,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[22,23,24,25,26],"class_list":["post-4509","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-knowledge-center","tag-integrated-rj45-connectors","tag-link-pp-lan-transformers","tag-link-pp","tag-modular-jack","tag-optics-transceivers"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/posts\/4509","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/comments?post=4509"}],"version-history":[{"count":4,"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/posts\/4509\/revisions"}],"predecessor-version":[{"id":10934,"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/posts\/4509\/revisions\/10934"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/media\/4508"}],"wp:attachment":[{"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/media?parent=4509"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/categories?post=4509"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/resourceslp.szlogic.cn\/id\/wp-json\/wp\/v2\/tags?post=4509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}