{"id":18961,"date":"2026-09-16T20:14:21","date_gmt":"2026-09-16T13:14:21","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-quadro-m6000-24g\/"},"modified":"2026-09-16T20:14:21","modified_gmt":"2026-09-16T13:14:21","slug":"nvidia-quadro-m6000-24g","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/nvidia-quadro-m6000-24g\/","title":{"rendered":"NVIDIA Quadro M6000 24G"},"content":{"rendered":"<p><strong>NVIDIA Quadro M6000 24G<\/strong> \u0e40\u0e1b\u0e47\u0e19 Professional GPU \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 professional visualization, AI inference, CAD, content creation \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>professional visualization<\/li>\n<li>AI inference<\/li>\n<li>CAD<\/li>\n<li>content creation<\/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>\ubd80\ubd84<\/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>\u0e04\u0e38\u0e13\u0e2a\u0e21\u0e1a\u0e31\u0e15\u0e34 (\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22)<\/strong><\/td>\n<td>Feature (English)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 GPU<\/strong><\/td>\n<td>GPU Architecture: Maxwell 2.0 (GM200)<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA \ucf54\uc5b4<\/strong><\/td>\n<td>CUDA Cores: 3,072<\/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>GPU Memory: 24 GB GDDR5<\/td>\n<\/tr>\n<tr>\n<td><strong>\uba54\ubaa8\ub9ac \uc778\ud130\ud398\uc774\uc2a4<\/strong><\/td>\n<td>Memory Interface: 384\u2010bit<\/td>\n<\/tr>\n<tr>\n<td><strong>\uba54\ubaa8\ub9ac \ub300\uc5ed\ud3ed<\/strong><\/td>\n<td>Memory Bandwidth: ~317 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e FP32 (\u0e04\u0e23\u0e48\u0e32\u0e27\u0e46)<\/strong><\/td>\n<td>FP32 Performance: ~7 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e15\u0e31\u0e27\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e23\u0e30\u0e1a\u0e1a<\/strong><\/td>\n<td>System Interface: PCI Express 3.0 \u00d716<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e1a\u0e23\u0e34\u0e42\u0e20\u0e04\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong><\/td>\n<td>Max Power Consumption: ~250 W<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25<\/strong><\/td>\n<td>Display: 4\u00d7 DisplayPort 1.2 + 1\u00d7 DVI\u2010I DL + Stereo (\u0e2d\u0e38\u0e1b\u0e01\u0e23\u0e13\u0e4c\u0e40\u0e2a\u0e23\u0e34\u0e21)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e08\u0e2d\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e31\u0e19\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong><\/td>\n<td>Max Displays: 4<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e04\u0e27\u0e32\u0e21\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e2b\u0e25\u0e31\u0e07 DisplayPort 1.2<\/strong><\/td>\n<td>Max DP Resolution: 4096 \u00d7 2160 @ 60 Hz<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a API \u0e41\u0e25\u0e30\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e<\/strong><\/td>\n<td>OpenGL 4.5, DirectX 12, CUDA, Quadro Sync, Mosaic, GPU Direct, 3D Vision, ECC Memory, Mosaic, nView \u0e2f\u0e25\u0e2f<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e41\u0e25\u0e30\u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19<\/strong><\/td>\n<td>Dual-slot, Full-height; Ultra\u2010quiet active fansink<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1b\u0e23\u0e30\u0e01\u0e31\u0e19<\/strong><\/td>\n<td>Warranty: 3 Years (PNY)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Quadro M6000 24 GB \u0e04\u0e37\u0e2d\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2a\u0e39\u0e07 \u0e17\u0e35\u0e48\u0e01\u0e49\u0e32\u0e27\u0e2a\u0e39\u0e48\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e47\u0e19\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e21\u0e37\u0e2d\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e2a\u0e38\u0e14\u0e17\u0e23\u0e07\u0e1e\u0e25\u0e31\u0e07\u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e1c\u0e2a\u0e32\u0e19\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Maxwell 2.0 \u0e41\u0e25\u0e30\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32\u0e17\u0e35\u0e48\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e02\u0e36\u0e49\u0e19\u0e40\u0e1b\u0e47\u0e19 24 GB GDDR5 \u0e14\u0e49\u0e27\u0e22\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e18\u0e4c\u0e2a\u0e39\u0e07 \u0e21\u0e31\u0e19\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e23\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e01\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e42\u0e21\u0e40\u0e14\u0e25\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48 \u0e27\u0e34\u0e0a\u0e27\u0e25\u0e44\u0e25\u0e40\u0e0b\u0e0a\u0e31\u0e19\u0e40\u0e0a\u0e34\u0e07\u0e25\u0e36\u0e01 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19 AI \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e25\u0e37\u0e48\u0e19\u0e44\u0e2b\u0e25 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25\u0e08\u0e2d 4K \u0e2b\u0e25\u0e32\u0e22\u0e08\u0e2d \u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e17\u0e32\u0e07\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e1c\u0e48\u0e32\u0e19 Quadro Sync \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a API \u0e0a\u0e31\u0e49\u0e19\u0e19\u0e4d\u0e32 \u0e40\u0e0a\u0e48\u0e19 OpenGL, DirectX, \u0e41\u0e25\u0e30 CUDA \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07\u0e04\u0e38\u0e13\u0e2a\u0e21\u0e1a\u0e31\u0e15\u0e37 ECC memory \u0e41\u0e25\u0e30 mosaic \u0e17\u0e35\u0e48\u0e0a\u0e48\u0e27\u0e22\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e04\u0e27\u0e32\u0e21\u0e41\u0e21\u0e48\u0e19\u0e22\u0e4d\u0e32\u0e43\u0e19\u0e01\u0e32\u0e23\u0e17\u0e4d\u0e32\u0e07\u0e32\u0e19 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e22\u0e34\u0e48\u0e07\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e17\u0e38\u0e01\u0e27\u0e34\u0e19\u0e32\u0e17\u0e35\u0e02\u0e2d\u0e07\u0e02\u0e38\u0e21\u0e1e\u0e25\u0e31\u0e07\u0e43\u0e19\u0e01\u0e32\u0e23\u0e17\u0e4d\u0e32\u0e07\u0e32\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e31\u0e48\u0e19\u0e43\u0e08<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Quadro M6000 24 GB \u0e04\u0e37\u0e2d\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07\u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Maxwell 2.0 (\u0e0a\u0e34\u0e1b GM200) \u0e1e\u0e31\u0e12\u0e19\u0e32\u0e15\u0e48\u0e2d\u0e22\u0e2d\u0e14\u0e08\u0e32\u0e01\u0e23\u0e38\u0e48\u0e19 12 GB \u0e42\u0e14\u0e22\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32\u0e02\u0e36\u0e49\u0e19\u0e40\u0e1b\u0e47\u0e19 24 GB GDDR5 \u0e41\u0e25\u0e30\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e18\u0e4c\u0e2a\u0e39\u0e07 \u0e0a\u0e48\u0e27\u0e22\u0e43\u0e2b\u0e49\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e08\u0e31\u0e14\u0e01\u0e32\u0e23\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e0b\u0e31\u0e1a\u0e0b\u0e49\u0e2d\u0e19 \u0e40\u0e0a\u0e48\u0e19 \u0e01\u0e32\u0e23\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48, \u0e27\u0e34\u0e0a\u0e27\u0e25\u0e44\u0e25\u0e40\u0e0b\u0e0a\u0e31\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2a\u0e39\u0e07, \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19 AI \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e23\u0e32\u0e1a\u0e23\u0e37\u0e48\u0e19 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25\u0e41\u0e1a\u0e1a 4K \u0e21\u0e31\u0e25\u0e15\u0e34\u0e08\u0e2d, \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e41\u0e1a\u0e1a Quadro Sync, \u0e41\u0e25\u0e30\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e01\u0e31\u0e1a\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA Quadro M6000 24 GB is a top-tier workstation graphics card based on the Maxwell 2.0 architecture (GM200 GPU), evolved from the 12 GB version by doubling the memory to 24 GB of GDDR5 with high bandwidth. This enables seamless handling of complex workloads such as large rendering tasks, advanced visualization, and AI computing. It supports multi\u20104K display output, Quadro Sync connectivity, and is designed for enterprise environments demanding maximum performance.<\/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>\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 Quadro M6000 24G<\/strong> \u0e40\u0e1b\u0e47\u0e19 Professional GPU \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 professional visualization, AI inference, CAD, content creation \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":19207,"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":[392,384],"product_tag":[237,397,396],"class_list":{"0":"post-18961","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-professional-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\/ko\/wp-json\/wp\/v2\/product\/18961","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/comments?post=18961"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/19207"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=18961"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=18961"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=18961"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=18961"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}