{"id":15673,"date":"2026-03-03T16:48:09","date_gmt":"2026-03-03T09:48:09","guid":{"rendered":"https:\/\/droneth.or.th\/?post_type=product&#038;p=15673"},"modified":"2026-06-16T12:00:41","modified_gmt":"2026-06-16T05:00:41","slug":"acer-veriton-gn100-ai-mini-workstation","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/acer-veriton-gn100-ai-mini-workstation\/","title":{"rendered":"Acer Veriton GN100 AI Mini Workstation"},"content":{"rendered":"<p data-path-to-node=\"9\"><b data-path-to-node=\"9\" data-index-in-node=\"0\">\u0e1b\u0e25\u0e14\u0e25\u0e47\u0e2d\u0e01\u0e02\u0e35\u0e14\u0e08\u0e33\u0e01\u0e31\u0e14\u0e41\u0e2b\u0e48\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25 AI \u0e14\u0e49\u0e27\u0e22\u0e21\u0e34\u0e19\u0e34\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e17\u0e23\u0e07\u0e1e\u0e25\u0e31\u0e07\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14<\/b> Acer Veriton GN100 AI Mini Workstation \u0e44\u0e21\u0e48\u0e43\u0e0a\u0e48\u0e41\u0e04\u0e48\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01 \u0e41\u0e15\u0e48\u0e04\u0e37\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e21\u0e37\u0e2d\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e17\u0e35\u0e48\u0e2d\u0e31\u0e14\u0e41\u0e19\u0e48\u0e19\u0e44\u0e1b\u0e14\u0e49\u0e27\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e42\u0e25\u0e01\u0e08\u0e32\u0e01 NVIDIA \u0e21\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e23\u0e30\u0e1a\u0e1a\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23 NVIDIA DGX OS \u0e41\u0e25\u0e30\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21\u0e0a\u0e34\u0e1b\u0e17\u0e35\u0e48\u0e23\u0e27\u0e21 CPU Arm 20 \u0e04\u0e2d\u0e23\u0e4c \u0e40\u0e02\u0e49\u0e32\u0e01\u0e31\u0e1a GPU \u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Blackwell \u0e41\u0e25\u0e30\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e33\u0e41\u0e1a\u0e1a Unified Memory \u0e02\u0e19\u0e32\u0e14 128GB \u0e44\u0e27\u0e49\u0e14\u0e49\u0e27\u0e22\u0e01\u0e31\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e41\u0e1a\u0e1a \u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14\u0e19\u0e35\u0e49\u0e16\u0e39\u0e01\u0e22\u0e48\u0e2d\u0e2a\u0e48\u0e27\u0e19\u0e43\u0e2b\u0e49\u0e2d\u0e22\u0e39\u0e48\u0e43\u0e19\u0e1a\u0e2d\u0e14\u0e35\u0e49\u0e02\u0e19\u0e32\u0e14\u0e40\u0e1e\u0e35\u0e22\u0e07 15 \u0e40\u0e0b\u0e19\u0e15\u0e34\u0e40\u0e21\u0e15\u0e23 \u0e19\u0e49\u0e33\u0e2b\u0e19\u0e31\u0e01\u0e40\u0e1a\u0e32\u0e41\u0e04\u0e48 1.2 \u0e01\u0e34\u0e42\u0e25\u0e01\u0e23\u0e31\u0e21 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e38\u0e14\u0e14\u0e49\u0e27\u0e22 Wi-Fi 7 \u0e41\u0e25\u0e30 NVIDIA ConnectX-7 \u0e19\u0e35\u0e48\u0e04\u0e37\u0e2d\u0e15\u0e31\u0e27\u0e40\u0e25\u0e37\u0e2d\u0e01\u0e17\u0e35\u0e48\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e41\u0e1a\u0e1a\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 Edge AI \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e02\u0e31\u0e49\u0e19\u0e2a\u0e39\u0e07\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e17\u0e31\u0e49\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27 \u0e40\u0e2a\u0e16\u0e35\u0e22\u0e23\u0e20\u0e32\u0e1e \u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e1b\u0e23\u0e30\u0e2b\u0e22\u0e31\u0e14\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48<\/p>\n<p data-path-to-node=\"10\"><b data-path-to-node=\"10\" data-index-in-node=\"0\">\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e32\u0e07\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04 (Product Specifications)<br \/>\n<\/b><\/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 \u0e0b\u0e35\u0e1e\u0e35\u0e22\u0e39 Arm v9.2\u2011A 20 \u0e04\u0e2d\u0e23\u0e4c (10\u00d7Cortex\u2011X925 + 10\u00d7Cortex\u2011A725)<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,1,1,4\">\u2022 GPU \u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 NVIDIA Blackwell \u0e41\u0e1a\u0e1a\u0e23\u0e27\u0e21\u0e43\u0e19\u0e0a\u0e34\u0e1b (Integrated)<\/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>\n<p data-path-to-node=\"11,2,1,0\">\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 1 PFLOPS (FP4 AI) \/ \u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 1000 TOPS FP4<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,2,1,2\"><i data-path-to-node=\"11,2,1,2\" data-index-in-node=\"0\">(\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e42\u0e21\u0e40\u0e14\u0e25 AI\/LLM \u0e02\u0e19\u0e32\u0e14\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e23\u0e32\u0e27 200B parameters \u0e15\u0e48\u0e2d\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07)<\/i><\/p>\n<\/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 (\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e33\u0e23\u0e27\u0e21 CPU+GPU)<\/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\">\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4TB M.2 NVMe PCIe SSD (\u0e21\u0e35\u0e15\u0e31\u0e27\u0e40\u0e25\u0e37\u0e2d\u0e01 Self\u2011encryption)<\/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 (DGX Base OS \/ Ubuntu Linux \u0e1e\u0e23\u0e49\u0e2d\u0e21 NVIDIA AI Software Stack)<\/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<\/b><\/span><\/td>\n<td>\n<p data-path-to-node=\"11,6,1,0\">\u2022 10GbE LAN (RJ\u201145)<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,6,1,2\">\u2022 Wi\u2011Fi 7 (Gig+) \u0e41\u0e25\u0e30 Bluetooth 5.4<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,6,1,4\">\u2022 NVIDIA ConnectX\u20117 SmartNIC (\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\/\u0e04\u0e25\u0e31\u0e2a\u0e40\u0e15\u0e2d\u0e23\u0e4c 200Gbps)<\/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 4\u00d7 USB 3.2 Type\u2011C (\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 20Gbps, \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a DisplayPort Alt\u2011mode)<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,7,1,2\">\u2022 1\u00d7 HDMI 2.1b (\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e40\u0e2a\u0e35\u0e22\u0e07\u0e21\u0e31\u0e25\u0e15\u0e34\u0e41\u0e0a\u0e19\u0e40\u0e19\u0e25)<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,7,1,4\">\u2022 1\u00d7 RJ\u201145 10GbE LAN<\/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\">\ud06c\uae30 \ubc0f \ubb34\uac8c<\/b><\/span><\/td>\n<td>\n<p data-path-to-node=\"11,8,1,0\"><b data-path-to-node=\"11,8,1,0\" data-index-in-node=\"0\">\u0e02\u0e19\u0e32\u0e14:<\/b> 150 \u00d7 150 \u00d7 50.5 \u0e21\u0e21.<\/p>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"11,8,1,2\"><b data-path-to-node=\"11,8,1,2\" data-index-in-node=\"0\">\u0e19\u0e49\u0e33\u0e2b\u0e19\u0e31\u0e01:<\/b> \u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 1.2 \u0e01\u0e01.<\/p>\n<\/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\u0e32\u0e27\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e0b\u0e31\u0e1e\u0e1e\u0e25\u0e32\u0e22<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,9,1,0\">\u0e2d\u0e30\u0e41\u0e14\u0e1b\u0e40\u0e15\u0e2d\u0e23\u0e4c 48V 5A (\u0e01\u0e33\u0e25\u0e31\u0e07\u0e44\u0e1f 240W)<\/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\">\u0e01\u0e25\u0e38\u0e48\u0e21\u0e1c\u0e39\u0e49\u0e43\u0e0a\u0e49\u0e40\u0e1b\u0e49\u0e32\u0e2b\u0e21\u0e32\u0e22<\/b><\/span><\/td>\n<td><span data-path-to-node=\"11,10,1,0\">\u0e19\u0e31\u0e01\u0e1e\u0e31\u0e12\u0e19\u0e32 AI, Data Scientist, \u0e07\u0e32\u0e19 GenAI\/LLM \u0e41\u0e25\u0e30 Edge AI \u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e43\u0e19\u0e02\u0e19\u0e32\u0e14\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e40\u0e25\u0e47\u0e01<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p data-path-to-node=\"10\"><b data-path-to-node=\"10\" data-index-in-node=\"0\">\u00a0<\/b><\/p>","protected":false},"excerpt":{"rendered":"<p><b data-path-to-node=\"6\" data-index-in-node=\"0\">\u0e2a\u0e31\u0e21\u0e1c\u0e31\u0e2a\u0e02\u0e38\u0e21\u0e1e\u0e25\u0e31\u0e07 AI \u0e23\u0e30\u0e14\u0e31\u0e1a\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\u0e43\u0e19\u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14\u0e01\u0e31\u0e1a Acer Veriton GN100 AI Mini Workstation<\/b> \u0e1e\u0e25\u0e34\u0e01\u0e42\u0e09\u0e21\u0e42\u0e15\u0e4a\u0e30\u0e17\u0e33\u0e07\u0e32\u0e19\u0e02\u0e2d\u0e07\u0e04\u0e38\u0e13\u0e43\u0e2b\u0e49\u0e40\u0e1b\u0e47\u0e19\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e01\u0e25\u0e32\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2d\u0e31\u0e08\u0e09\u0e23\u0e34\u0e22\u0e30\u0e14\u0e49\u0e27\u0e22\u0e2a\u0e38\u0e14\u0e22\u0e2d\u0e14\u0e21\u0e34\u0e19\u0e34\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e02\u0e31\u0e1a\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e14\u0e49\u0e27\u0e22\u0e0a\u0e34\u0e1b <b data-path-to-node=\"6\" 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\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\u0e07\u0e49\u0e2d\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e40\u0e0b\u0e34\u0e23\u0e4c\u0e1f\u0e40\u0e27\u0e2d\u0e23\u0e4c\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":15676,"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 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