{"id":18686,"date":"2026-09-16T20:11:08","date_gmt":"2026-09-16T13:11:08","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-a16\/"},"modified":"2026-09-16T20:11:08","modified_gmt":"2026-09-16T13:11:08","slug":"nvidia-a16","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/zh\/product\/nvidia-a16\/","title":{"rendered":"NVIDIA A16"},"content":{"rendered":"<p><strong>NVIDIA A16<\/strong> \u0e40\u0e1b\u0e47\u0e19 Data Center GPU \/ Accelerator \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, AI inference, HPC, virtual workstation \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e14\u0e49\u0e32\u0e19 AI\/HPC<\/p>\n<p><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21<\/strong><\/p>\n<ul>\n<li>AI training<\/li>\n<li>AI inference<\/li>\n<li>HPC<\/li>\n<li>virtual workstation<\/li>\n<\/ul>\n<p><strong>\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e32\u0e07\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04 (Product Specifications)<\/strong><\/p>\n<table style=\"width:100%\">\n<thead>\n<tr>\n<td><strong>\u90e8\u5206<\/strong><\/td>\n<td><strong>\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e2a\u0e40\u0e1b\u0e04<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 GPU<\/strong><\/td>\n<td>NVIDIA Ampere architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU \u0e22\u0e48\u0e2d\u0e22<\/strong><\/td>\n<td>4 \u00d7 GPUs<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA Cores (\u0e23\u0e27\u0e21)<\/strong><\/td>\n<td>5,120 (4 \u00d7 1,280)<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores (\u0e23\u0e27\u0e21)<\/strong><\/td>\n<td>160 (4 \u00d7 40)<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Cores (\u0e23\u0e27\u0e21)<\/strong><\/td>\n<td>40 (4 \u00d7 10)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 GPU<\/strong><\/td>\n<td>64 GB GDDR6 ECC (16 GB \u00d7 4)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32<\/strong><\/td>\n<td>4 \u00d7 200 \u2013 232 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>\u8fde\u63a5\u6027<\/strong><\/td>\n<td>PCIe Gen4 \u00d716<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 (TDP)<\/strong><\/td>\n<td>250 W<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19<\/strong><\/td>\n<td>Passive<\/td>\n<\/tr>\n<tr>\n<td><strong>NVENC \/ NVDEC<\/strong><\/td>\n<td>4\u00d7 NVENC, 8\u00d7 NVDEC (\u0e23\u0e27\u0e21 AV1 decode)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e0b\u0e2d\u0e1f\u0e15\u0e4c\u0e41\u0e27\u0e23\u0e4c vGPU \u0e17\u0e35\u0e48\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a<\/strong><\/td>\n<td>vPC, vApps, RTX vWS, vCS, NVIDIA AI Enterprise<\/td>\n<\/tr>\n<tr>\n<td><strong>Secure Boot &amp; Root of Trust<\/strong><\/td>\n<td>\u0e21\u0e35 optional support<\/td>\n<\/tr>\n<tr>\n<td><strong>NEBS Ready<\/strong><\/td>\n<td>Level 3<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e1a\u0e2d\u0e23\u0e4c\u0e14 (Form Factor)<\/strong><\/td>\n<td>Full height, full length (dual slot)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19\u0e1c\u0e39\u0e49\u0e43\u0e0a\u0e49\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong><\/td>\n<td>\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 64 \u0e1c\u0e39\u0e49\u0e43\u0e0a\u0e49\u0e15\u0e48\u0e2d\u0e1a\u0e2d\u0e23\u0e4c\u0e14<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25\u0e41\u0e1a\u0e1a High\u2010Resolution<\/strong><\/td>\n<td>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e08\u0e2d\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e2a\u0e2d\u0e07\u0e08\u0e2d 4K \u0e2b\u0e23\u0e37\u0e2d\u0e08\u0e2d\u0e40\u0e14\u0e35\u0e22\u0e27 5K<\/td>\n<\/tr>\n<tr>\n<td><strong>MIG Support<\/strong><\/td>\n<td>\u0e44\u0e21\u0e48\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a (No)<\/td>\n<\/tr>\n<tr>\n<td><strong>APIs \u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01 &amp; \u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25<\/strong><\/td>\n<td>DirectX 12, OpenGL, Vulkan, CUDA, OpenCL, OpenACC<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Ampere GPU architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>4x 16GB GDDR6 with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>\u5185\u5b58\u5e26\u5bbd<\/strong><\/td>\n<td>4x 232GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>250W<\/td>\n<\/tr>\n<tr>\n<td><strong>Interconnect Bus<\/strong><\/td>\n<td>PCIe Gen. 4<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor<\/strong><\/td>\n<td>Full height, full length (FHFL) dual slot<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Virtual GPU (vGPU) software support<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA A16 \u0e04\u0e37\u0e2d\u0e01\u0e32\u0e23\u0e4c\u0e14 GPU \u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Virtual Desktop Infrastructure (VDI) \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e42\u0e14\u0e22\u0e40\u0e09\u0e1e\u0e32\u0e30 \u0e14\u0e49\u0e27\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ampere \u0e17\u0e35\u0e48\u0e21\u0e35\u0e01\u0e32\u0e23\u0e23\u0e27\u0e21 GPU \u0e22\u0e48\u0e2d\u0e22 4 \u0e15\u0e31\u0e27\u0e43\u0e19\u0e1a\u0e2d\u0e23\u0e4c\u0e14\u0e40\u0e14\u0e35\u0e22\u0e27 \u0e17\u0e4d\u0e32\u0e43\u0e2b\u0e49\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e1c\u0e39\u0e49\u0e43\u0e0a\u0e49\u0e44\u0e14\u0e49\u0e21\u0e32\u0e01\u0e02\u0e36\u0e49\u0e19\u0e16\u0e36\u0e07 64 \u0e04\u0e19\u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a dual\u2010slot \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e1a\u0e01\u0e32\u0e23\u0e13\u0e4c\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e40\u0e2a\u0e21\u0e37\u0e2d\u0e19\u0e08\u0e23\u0e34\u0e07\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e17\u0e35\u0e48\u0e43\u0e01\u0e25\u0e49\u0e40\u0e04\u0e35\u0e22\u0e07\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e08\u0e23\u0e34\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e01\u0e32\u0e23\u0e4c\u0e14 NVIDIA A16 \u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ampere \u0e21\u0e35 GPU \u0e22\u0e48\u0e2d\u0e22 4 \u0e15\u0e31\u0e27 (\u0e41\u0e15\u0e48\u0e25\u0e30\u0e15\u0e31\u0e27\u0e21\u0e35 CUDA Cores 1,280, Tensor Cores 40, RT Cores 10) \u0e23\u0e27\u0e21\u0e40\u0e1b\u0e47\u0e19\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 GDDR6 64 GB (16 GB \u0e15\u0e48\u0e2d GPU) \u0e1e\u0e23\u0e49\u0e2d\u0e21 ECC \u0e41\u0e25\u0e30\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c\u0e23\u0e27\u0e21 4\u00d7232 GB\/s \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a PCIe Gen 4 x16 \u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19\u0e41\u0e1a\u0e1a passive \u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 250 W \u0e21\u0e35 NVENC \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 4 \u0e15\u0e31\u0e27 \u0e41\u0e25\u0e30 NVDEC \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 8 \u0e15\u0e31\u0e27 (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a AV1 decoding), \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e32\u0e23\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a vGPU (vPC, vApps, vWS, vCS), Secure Boot with Root of Trust, \u0e41\u0e25\u0e30\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19 NEBS Level 3<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A16 is a data\u2010center GPU purpose-built for high-density Virtual Desktop Infrastructure (VDI). Powered by the Ampere architecture and featuring a unique quad\u2010GPU design on a single board, it supports up to 64 concurrent users per dual\u2010slot card. Ideal for organizations seeking a native-like experience via virtualization at scale.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A16 is built on the Ampere architecture with four discrete GPUs in one board (each with 1,280 CUDA Cores, 40 Tensor Cores, 10 RT Cores). It integrates 64 GB of GDDR6 ECC memory (16 GB each) and a total memory bandwidth of 4\u00d7232 GB\/s. Featuring PCIe Gen 4 x16, passive cooling, and up to 250 W power consumption. The card includes 4\u00d7 NVENC encoders and 8\u00d7 NVDEC decoders (AV1 decode supported), supports vGPU software (vPC, vApps, vWS, vCS), Secure Boot with Root of Trust, and is NEBS Level 3 compliant.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA A16 redefines high-density VDI by integrating four Ampere-powered GPUs in a single passive-cooled card. It supports up to 64 users per board while delivering robust media encoding, high-resolution output, and powerful compute capabilities through extensive vGPU software support. Designed for modern remote environments, the A16 offers exceptional performance, scalability, and efficiency for enterprise virtualization.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Condition &amp; Warranty<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u2714 Fully tested and 100% working \u2714 Secure packaging for safe shipping \u2714 Warranty available (subject to store policy)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e2d\u0e49\u0e32\u0e07\u0e2d\u0e34\u0e07\u0e08\u0e32\u0e01\u0e1c\u0e39\u0e49\u0e1c\u0e25\u0e34\u0e15: <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/a16\/\" target=\"_blank\" rel=\"nofollow noopener\">NVIDIA<\/a><\/p>\n<p>\u0e2a\u0e19\u0e43\u0e08\u0e2a\u0e2d\u0e1a\u0e16\u0e32\u0e21\u0e23\u0e32\u0e04\u0e32 \u0e2a\u0e40\u0e1b\u0e04 \u0e2b\u0e23\u0e37\u0e2d\u0e02\u0e2d\u0e43\u0e1a\u0e40\u0e2a\u0e19\u0e2d\u0e23\u0e32\u0e04\u0e32 \u0e15\u0e34\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e14\u0e49\u0e17\u0e35\u0e48 <strong>LINE: @metaxr<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p><strong>NVIDIA A16<\/strong> \u0e40\u0e1b\u0e47\u0e19 Data Center GPU \/ Accelerator \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, AI inference, HPC, virtual workstation \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e14\u0e49\u0e32\u0e19 AI\/HPC<\/p>\n<div style=\"width: 100%; text-align: center; padding: 24px 0;\"><a style=\"display: inline-block; background-color: #06c755; color: #ffffff; font-size: 16px; font-weight: bold; text-decoration: none; padding: 14px 32px; border-radius: 50px; box-shadow: 0 4px 12px rgba(6,199,85,0.4); white-space: nowrap;\" href=\"https:\/\/page.line.me\/682mqqmh?openQrModal=true\" target=\"_blank\" rel=\"noopener\">\u0e2a\u0e2d\u0e1a\u0e16\u0e32\u0e21\u0e23\u0e32\u0e04\u0e32 \/ \u0e2a\u0e31\u0e48\u0e07\u0e0b\u0e37\u0e49\u0e2d LINE: @metaxr<\/a><\/div>","protected":false},"featured_media":19186,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"product_brand":[],"product_cat":[388,384],"product_tag":[237,397,396],"class_list":{"0":"post-18686","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-data-center-gpu","7":"product_cat-gpu-ai-server","8":"product_tag-ai-","9":"product_tag-gpu","10":"product_tag-nvidia","11":"desktop-align-left","12":"tablet-align-left","13":"mobile-align-left","15":"first","16":"instock","17":"shipping-taxable","18":"product-type-simple"},"acf":[],"_links":{"self":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product\/18686","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/comments?post=18686"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media\/19186"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/media?parent=18686"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_brand?post=18686"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_cat?post=18686"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/zh\/wp-json\/wp\/v2\/product_tag?post=18686"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}