{"id":18692,"date":"2026-09-16T20:11:10","date_gmt":"2026-09-16T13:11:10","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-l40s\/"},"modified":"2026-09-16T20:11:10","modified_gmt":"2026-09-16T13:11:10","slug":"nvidia-l40s","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ja\/product\/nvidia-l40s\/","title":{"rendered":"NVIDIA L40S"},"content":{"rendered":"<p><strong>NVIDIA L40S<\/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>\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e08\u0e32\u0e01\u0e1c\u0e39\u0e49\u0e1c\u0e25\u0e34\u0e15:<\/strong> The Most Powerful Universal GPU.<\/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>\u30bb\u30af\u30b7\u30e7\u30f3<\/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 Ada Lovelace architecture<\/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>48 GB GDDR6 with ECC<\/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>864 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>\u63a5\u7d9a\u6027<\/strong><\/td>\n<td>PCIe Gen4 x16 (\u0e2a\u0e2d\u0e07\u0e17\u0e34\u0e28\u0e17\u0e32\u0e07 64 GB\/s)<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA\u30b3\u30a2<\/strong><\/td>\n<td>18,176<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Cores (Gen 3)<\/strong><\/td>\n<td>142<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores (Gen 4)<\/strong><\/td>\n<td>568<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e RT Core (TFLOPS)<\/strong><\/td>\n<td>212<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 (TFLOPS)<\/strong><\/td>\n<td>91.6<\/td>\n<\/tr>\n<tr>\n<td><strong>TF32 Tensor TFLOPS<\/strong><\/td>\n<td>183 \/ 366 (\u0e21\u0e35 sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>FP16 Tensor TFLOPS<\/strong><\/td>\n<td>362 \/ 733 (\u0e21\u0e35 sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>BFLOAT16 Tensor TFLOPS<\/strong><\/td>\n<td>362 \/ 733 (\u0e21\u0e35 sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>FP8 Tensor TFLOPS<\/strong><\/td>\n<td>733 \/ 1,466 (\u0e21\u0e35 sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>INT8 \/ INT4 TOPS<\/strong><\/td>\n<td>733 \/ 1,466 (\u0e21\u0e35 sparsity)<\/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>4.4\u2032\u2032 (H) x 10.5\u2032\u2032 (L), dual-slot<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\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>\u0e01\u0e4d\u0e32\u0e25\u0e31\u0e07\u0e44\u0e1f\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 (Max Power)<\/strong><\/td>\n<td>350 W<\/td>\n<\/tr>\n<tr>\n<td><strong>Power Connector<\/strong><\/td>\n<td>16\u2010pin<\/td>\n<\/tr>\n<tr>\n<td><strong>DisplayPorts<\/strong><\/td>\n<td>4\u00d7 DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<td><strong>Media Engines (NVENC\/NVDEC)<\/strong><\/td>\n<td>3\u00d7 encode \/ 3\u00d7 decode (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a AV1)<\/td>\n<\/tr>\n<tr>\n<td><strong>vGPU Support<\/strong><\/td>\n<td>\u0e21\u0e35 support<\/td>\n<\/tr>\n<tr>\n<td><strong>Secure Boot with Root of Trust<\/strong><\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td><strong>NEBS Ready<\/strong><\/td>\n<td>Level 3<\/td>\n<\/tr>\n<tr>\n<td><strong>MIG Support<\/strong><\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td><strong>NVLink Support<\/strong><\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Ada Lovelace GPU architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>48GB GDDR6 memory with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>18,176 CUDA Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>142 RT Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>568 Tensor Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>350W<\/td>\n<\/tr>\n<tr>\n<td><strong>Interconnect Bus<\/strong><\/td>\n<td>PCIe 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor<\/strong><\/td>\n<td>Full-height full-length, 2-slot<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>vGPU Software Support<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA L40S \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\u0e23\u0e27\u0e21\u0e28\u0e31\u0e01\u0e22\u0e20\u0e32\u0e1e AI, \u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01 \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e40\u0e02\u0e49\u0e32\u0e23\u0e2b\u0e31\u0e2a\u0e27\u0e34\u0e14\u0e35\u0e42\u0e2d\u0e44\u0e27\u0e49\u0e43\u0e19\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e40\u0e14\u0e35\u0e22\u0e27 \u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ada Lovelace \u0e2d\u0e31\u0e19\u0e25\u0e49\u0e4d\u0e32\u0e2a\u0e21\u0e31\u0e22 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e17\u0e4d\u0e32\u0e07\u0e32\u0e19\u0e2b\u0e25\u0e32\u0e01\u0e2b\u0e25\u0e32\u0e22\u0e1b\u0e23\u0e30\u0e40\u0e20\u0e17 \u0e40\u0e0a\u0e48\u0e19 \u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01\u0e41\u0e25\u0e30\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e41\u0e1a\u0e1a\u0e1f\u0e39\u0e25\u0e08\u0e35\u0e1e\u0e35\u0e17\u0e35 (LLM), \u0e01\u0e32\u0e23\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e2a\u0e32\u0e21\u0e21\u0e34\u0e15\u0e34, \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e14\u0e35\u0e42\u0e2d AI\u2010accelerated \u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e01\u0e32\u0e23\u0e4c\u0e14 NVIDIA L40S \u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ada Lovelace \u0e21\u0e35\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 GDDR6 \u0e02\u0e19\u0e32\u0e14 48 GB \u0e1e\u0e23\u0e49\u0e2d\u0e21 ECC \u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c\u0e2a\u0e39\u0e07\u0e16\u0e36\u0e07 864 GB\/s \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e1c\u0e48\u0e32\u0e19 PCIe Gen4 x16 \u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19\u0e14\u0e49\u0e27\u0e22\u0e23\u0e30\u0e1a\u0e1a passive \u0e41\u0e25\u0e30\u0e01\u0e4d\u0e32\u0e25\u0e31\u0e07\u0e44\u0e1f\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 350 W \u0e08\u0e38\u0e14\u0e40\u0e14\u0e48\u0e19\u0e04\u0e37\u0e2d\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a vGPU, Secure Boot with Root of Trust, \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e04\u0e38\u0e13\u0e2a\u0e21\u0e1a\u0e31\u0e15\u0e34 NEBS Ready \u0e23\u0e30\u0e14\u0e31\u0e1a 3 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e23\u0e30\u0e1a\u0e1a\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e17\u0e19\u0e17\u0e32\u0e19\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e1b\u0e25\u0e2d\u0e14\u0e20\u0e31\u0e22\u0e2a\u0e39\u0e07<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA L40S is a data\u2010center GPU that unifies AI compute, graphics acceleration, and media encoding\/decoding in a single platform. Based on NVIDIA\u2019s advanced Ada Lovelace architecture, it\u2019s optimized for diverse workloads\u2014ranging from large language model training and inference to 3D rendering and AI\u2010enhanced video processing.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA L40S employs the Ada Lovelace architecture, featuring 48 GB of GDDR6 ECC memory with 864 GB\/s bandwidth. It connects via PCIe Gen4 x16, utilizes passive cooling, and has a maximum power draw of 350 W. Key features include support for vGPU, Secure Boot with Root of Trust, and NEBS Level 3 readiness\u2014ideal for enterprise-grade, secure, and robust data center environments.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA L40S stands out as a versatile, high-performance GPU tailored for modern data centers. It excels in handling large language models, rendering, and AI-powered video workloads\u2014all while delivering enterprise-grade durability and efficiency. With its robust security architecture, passive cooling, and support for virtualization via vGPU, the L40S is an ideal solution for environments demanding powerful, flexible, and secure compute capabilities.<\/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\/l40s\/\" 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 L40S<\/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":18693,"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-18692","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\/ja\/wp-json\/wp\/v2\/product\/18692","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/comments?post=18692"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media\/18693"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/media?parent=18692"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_brand?post=18692"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_cat?post=18692"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ja\/wp-json\/wp\/v2\/product_tag?post=18692"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}