{"id":15705,"date":"2026-03-03T17:30:48","date_gmt":"2026-03-03T10:30:48","guid":{"rendered":"https:\/\/droneth.or.th\/?post_type=product&#038;p=15705"},"modified":"2026-06-16T14:27:38","modified_gmt":"2026-06-16T07:27:38","slug":"hp-zgx-nano-g1n-ai-station","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/hp-zgx-nano-g1n-ai-station\/","title":{"rendered":"HP ZGX Nano G1n AI Station"},"content":{"rendered":"<p>\u0e1e\u0e25\u0e31\u0e07\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e21\u0e2b\u0e32\u0e28\u0e32\u0e25 \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e1e\u0e31\u0e12\u0e19\u0e32 AI \u0e17\u0e35\u0e48\u0e44\u0e23\u0e49\u0e02\u0e35\u0e14\u0e08\u0e33\u0e01\u0e31\u0e14<br \/>\nHP ZGX Nano G1n AI Station \u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e19\u0e34\u0e22\u0e32\u0e21\u0e02\u0e2d\u0e07\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e1a\u0e23\u0e23\u0e08\u0e38\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e0b\u0e39\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e25\u0e07\u0e43\u0e19\u0e1a\u0e2d\u0e14\u0e35\u0e49\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14 \u0e02\u0e31\u0e1a\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e14\u0e49\u0e27\u0e22\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 NVIDIA GB10 \u0e17\u0e35\u0e48\u0e1c\u0e2a\u0e32\u0e19 CPU Arm 20 \u0e04\u0e2d\u0e23\u0e4c \u0e41\u0e25\u0e30 GPU Blackwell \u0e17\u0e33\u0e07\u0e32\u0e19\u0e23\u0e48\u0e27\u0e21\u0e01\u0e31\u0e1a\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e33 Unified Memory 128GB \u0e41\u0e1a\u0e1a 16 \u0e41\u0e0a\u0e19\u0e40\u0e19\u0e25 \u0e17\u0e35\u0e48\u0e43\u0e2b\u0e49\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e18\u0e4c\u0e2a\u0e39\u0e07\u0e16\u0e36\u0e07 273 GB\/s \u0e15\u0e31\u0e27\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e22\u0e31\u0e07\u0e25\u0e49\u0e33\u0e2b\u0e19\u0e49\u0e32\u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e08\u0e31\u0e14\u0e40\u0e01\u0e47\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e2a\u0e39\u0e07\u0e1e\u0e34\u0e40\u0e28\u0e29 M.2 PCIe Gen5 \u0e44\u0e2e\u0e44\u0e25\u0e17\u0e4c\u0e2a\u0e33\u0e04\u0e31\u0e0d\u0e04\u0e37\u0e2d\u0e01\u0e32\u0e23\u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e1e\u0e2d\u0e23\u0e4c\u0e15 QSFP (200GbE) \u0e17\u0e35\u0e48\u0e43\u0e2b\u0e49\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d ZGX Nano \u0e2a\u0e2d\u0e07\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e40\u0e02\u0e49\u0e32\u0e14\u0e49\u0e27\u0e22\u0e01\u0e31\u0e19 \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e02\u0e22\u0e32\u0e22\u0e1e\u0e25\u0e31\u0e07\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e44\u0e23\u0e49\u0e23\u0e2d\u0e22\u0e15\u0e48\u0e2d \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e23\u0e31\u0e19\u0e07\u0e32\u0e19\u0e1a\u0e19\u0e23\u0e30\u0e1a\u0e1a\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23 NVIDIA DGX OS \u0e17\u0e35\u0e48\u0e21\u0e35 AI Stack \u0e21\u0e32\u0e43\u0e2b\u0e49\u0e04\u0e23\u0e1a\u0e0a\u0e38\u0e14\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e25\u0e38\u0e22\u0e07\u0e32\u0e19\u0e17\u0e31\u0e19\u0e17\u0e35<\/p>\n<p>\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e32\u0e07\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04 (Product Specifications)<\/p>\n<table data-path-to-node=\"11\">\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><span data-path-to-node=\"11,1,0,0\"><b data-path-to-node=\"11,1,0,0\" data-index-in-node=\"0\">\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25 (CPU \/ GPU)<\/b><\/span><\/td>\n<td>\n<p data-path-to-node=\"11,1,1,0\">\u2022 NVIDIA GB10 Grace Blackwell Superchip<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,1,1,2\">\u2022 CPU: 20\u2011core Arm (10\u00d7Cortex\u2011X925 + 10\u00d7Cortex\u2011A725)<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,1,1,4\">\u2022 GPU: NVIDIA Blackwell Architecture GPU<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,2,0,0\"><b data-path-to-node=\"11,2,0,0\" data-index-in-node=\"0\">\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e AI<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,2,1,0\">\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 1000 TOPS FP4 AI (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e42\u0e21\u0e40\u0e14\u0e25\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 200B parameters \u0e15\u0e48\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,3,0,0\"><b data-path-to-node=\"11,3,0,0\" data-index-in-node=\"0\">\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e33 (RAM)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,3,1,0\">128GB LPDDR5x Coherent Unified System Memory (16 \u0e41\u0e0a\u0e19\u0e40\u0e19\u0e25, \u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e18\u0e4c 273 GB\/s)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,4,0,0\"><b data-path-to-node=\"11,4,0,0\" data-index-in-node=\"0\">\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e08\u0e31\u0e14\u0e40\u0e01\u0e47\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 (Storage)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,4,1,0\">1\u00d7 \u0e0a\u0e48\u0e2d\u0e07 M.2 (PCIe Gen5 x4) \u0e20\u0e32\u0e22\u0e43\u0e19 (\u0e21\u0e35\u0e15\u0e31\u0e27\u0e40\u0e25\u0e37\u0e2d\u0e01 SSD 2TB \u0e2b\u0e23\u0e37\u0e2d 4TB PCIe NVMe OPAL M.2 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e02\u0e49\u0e32\u0e23\u0e2b\u0e31\u0e2a)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,5,0,0\"><b data-path-to-node=\"11,5,0,0\" data-index-in-node=\"0\">\u0e23\u0e30\u0e1a\u0e1a\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23 (OS)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,5,1,0\">NVIDIA DGX OS (Ubuntu\u2011based \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e0a\u0e38\u0e14\u0e0b\u0e2d\u0e1f\u0e15\u0e4c\u0e41\u0e27\u0e23\u0e4c AI Stack \u0e04\u0e23\u0e1a\u0e0a\u0e38\u0e14)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,6,0,0\"><b data-path-to-node=\"11,6,0,0\" data-index-in-node=\"0\">\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2a\u0e39\u0e07<\/b><\/span><\/td>\n<td>\n<p data-path-to-node=\"11,6,1,0\">\u2022 1\u00d7 RJ\u201145 10GbE LAN<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,6,1,2\">\u2022 2\u00d7 QSFP (200GbE LAN) \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07 ZGX Nano \u0e2a\u0e2d\u0e07\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e40\u0e02\u0e49\u0e32\u0e14\u0e49\u0e27\u0e22\u0e01\u0e31\u0e19<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,7,0,0\"><b data-path-to-node=\"11,7,0,0\" data-index-in-node=\"0\">\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d (I\/O Ports)<\/b><\/span><\/td>\n<td>\n<p data-path-to-node=\"11,7,1,0\">\u2022 3\u00d7 USB 3.2 Type\u2011C 20Gbps (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a DisplayPort 1.4a Alt\u2011mode, \u0e23\u0e27\u0e21\u0e01\u0e33\u0e25\u0e31\u0e07\u0e08\u0e48\u0e32\u0e22 30W)<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,7,1,2\">\u2022 1\u00d7 USB\u2011C Power Connector (\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f 240W)<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,7,1,4\">\u2022 1\u00d7 HDMI 2.1a<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,8,0,0\"><b data-path-to-node=\"11,8,0,0\" data-index-in-node=\"0\">\u0e02\u0e19\u0e32\u0e14\u0e41\u0e25\u0e30\u0e1f\u0e2d\u0e23\u0e4c\u0e21\u0e41\u0e1f\u0e01\u0e40\u0e15\u0e2d\u0e23\u0e4c<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,8,1,0\">\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14 \u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 150 \u00d7 150 \u00d7 51 \u0e21\u0e21.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,9,0,0\"><b data-path-to-node=\"11,9,0,0\" data-index-in-node=\"0\">\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,9,1,0\">\u0e1e\u0e32\u0e27\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0b\u0e31\u0e1e\u0e1e\u0e25\u0e32\u0e22 240W (\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e1c\u0e48\u0e32\u0e19\u0e1e\u0e2d\u0e23\u0e4c\u0e15 USB\u2011C Power)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"11,10,0,0\"><b data-path-to-node=\"11,10,0,0\" data-index-in-node=\"0\">\u0e08\u0e38\u0e14\u0e02\u0e32\u0e22\u0e2b\u0e25\u0e31\u0e01 \/ \u0e01\u0e25\u0e38\u0e48\u0e21\u0e40\u0e1b\u0e49\u0e32\u0e2b\u0e21\u0e32\u0e22<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,10,1,0\">Mini AI Station \u0e17\u0e35\u0e48\u0e40\u0e19\u0e49\u0e19 \u201cBig AI performance. Tiny footprint.\u201d \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 Prototype, Fine\u2011tune \u0e41\u0e25\u0e30 Inference \u0e42\u0e21\u0e40\u0e14\u0e25 200B parameters \u0e44\u0e14\u0e49\u0e43\u0e19\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e40\u0e14\u0e35\u0e22\u0e27<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"<p><b data-path-to-node=\"6\" data-index-in-node=\"0\">\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e AI \u0e22\u0e34\u0e48\u0e07\u0e43\u0e2b\u0e0d\u0e48\u0e43\u0e19\u0e02\u0e19\u0e32\u0e14\u0e08\u0e34\u0e4b\u0e27\u0e01\u0e31\u0e1a HP ZGX Nano G1n AI Station<\/b> \u0e1b\u0e25\u0e14\u0e25\u0e47\u0e2d\u0e01\u0e28\u0e31\u0e01\u0e22\u0e20\u0e32\u0e1e\u0e07\u0e32\u0e19 AI \u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13\u0e14\u0e49\u0e27\u0e22 HP ZGX Nano G1n AI Station \u0e21\u0e34\u0e19\u0e34\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e0a\u0e39\u0e04\u0e2d\u0e19\u0e40\u0e0b\u0e1b\u0e15\u0e4c &#8220;Big AI performance. Tiny footprint.&#8221; \u0e2d\u0e31\u0e14\u0e41\u0e19\u0e48\u0e19\u0e14\u0e49\u0e27\u0e22\u0e02\u0e38\u0e21\u0e1e\u0e25\u0e31\u0e07 NVIDIA GB10 Grace Blackwell Superchip \u0e17\u0e35\u0e48\u0e43\u0e2b\u0e49\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 1000 TOPS \u0e15\u0e2d\u0e1a\u0e42\u0e08\u0e17\u0e22\u0e4c\u0e19\u0e31\u0e01\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23 Prototype, Fine-tune \u0e2b\u0e23\u0e37\u0e2d\u0e23\u0e31\u0e19 Inference \u0e42\u0e21\u0e40\u0e14\u0e25\u0e20\u0e32\u0e29\u0e32\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e23\u0e30\u0e14\u0e31\u0e1a 200B parameters \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e25\u0e37\u0e48\u0e19\u0e44\u0e2b\u0e25 \u0e08\u0e1a\u0e04\u0e23\u0e1a\u0e43\u0e19\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e40\u0e14\u0e35\u0e22\u0e27\u0e42\u0e14\u0e22\u0e44\u0e21\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e1e\u0e36\u0e48\u0e07\u0e1e\u0e32\u0e23\u0e30\u0e1a\u0e1a\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48!<\/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":15694,"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":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","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":[148,115],"product_tag":[212],"class_list":{"0":"post-15705","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-ai-edge-computing","7":"product_cat-ai-platform-software","8":"product_tag-ai","9":"desktop-align-left","10":"tablet-align-left","11":"mobile-align-left","13":"first","14":"instock","15":"shipping-taxable","16":"product-type-simple"},"acf":[],"_links":{"self":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product\/15705","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=15705"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/15694"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=15705"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=15705"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=15705"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=15705"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}