{"id":18942,"date":"2026-09-16T20:14:17","date_gmt":"2026-09-16T13:14:17","guid":{"rendered":"https:\/\/droneth.or.th\/product\/eg1070-inference-single-gpu\/"},"modified":"2026-09-16T20:14:17","modified_gmt":"2026-09-16T13:14:17","slug":"eg1070-inference-single-gpu","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/eg1070-inference-single-gpu\/","title":{"rendered":"EG1070 Inference \u2013 Single GPU"},"content":{"rendered":"<p><strong>EG1070 Inference \u2013 Single GPU<\/strong> \u0e40\u0e1b\u0e47\u0e19 AI Inference Appliance \u0e08\u0e32\u0e01 <strong>Leadtek<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI inference, video analytics, computer vision, edge deployment \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 inference<\/li>\n<li>video analytics<\/li>\n<li>computer vision<\/li>\n<li>edge deployment<\/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>CPU<\/strong><\/td>\n<td>AMD RX\u2010216TD dual-core (1.6\u20133.0 GHz)<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU (\u0e17\u0e32\u0e07\u0e40\u0e25\u0e37\u0e2d\u0e01)<\/strong><\/td>\n<td>GTX 1650 (GDDR5\/6) \u0e2b\u0e23\u0e37\u0e2d Quadro P2200<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA Cores (GPU)<\/strong><\/td>\n<td>896 (GTX 1650) \/ 1280 (P2200)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e23\u0e30\u0e1a\u0e1a\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 (RAM)<\/strong><\/td>\n<td>2\u00d7 4 GB DDR4 SO-DIMM (1,600 MT\/s)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2a\u0e15\u0e2d\u0e40\u0e23\u0e08<\/strong><\/td>\n<td>32 GB SSD<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14 (\u0e01\u00d7\u0e22\u00d7\u0e2a)<\/strong><\/td>\n<td>195.4 \u00d7 212.6 \u00d7 110 mm<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e1e\u0e25\u0e31\u0e07\u0e07\u0e32\u0e19\u0e42\u0e14\u0e22\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13<\/strong><\/td>\n<td>\u2248 35 W (\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2d\u0e38\u0e1b\u0e01\u0e23\u0e13\u0e4c\u0e1e\u0e37\u0e49\u0e19\u0e10\u0e32\u0e19)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e20\u0e32\u0e22\u0e43\u0e19<\/strong><\/td>\n<td>PCIe 3.0 \u00d78<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e0a\u0e48\u0e2d\u0e07\u0e40\u0e2a\u0e23\u0e34\u0e21<\/strong><\/td>\n<td>microSD, USB 3.2\u00d72, USB 2.0\u00d72, RS\u2010232\/422\/485\u00d72<\/td>\n<\/tr>\n<tr>\n<td><strong>Audio<\/strong><\/td>\n<td>3.5 mm Line-out &amp; Mic<\/td>\n<\/tr>\n<tr>\n<td><strong>\uc774\ub354\ub137<\/strong><\/td>\n<td>2\u00d7 1GbE<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f<\/strong><\/td>\n<td>19 V terminal block<\/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>\u0e1e\u0e31\u0e14\u0e25\u0e21 active \u0e2b\u0e19\u0e36\u0e48\u0e07 \u0e0a\u0e38\u0e14 heatsink \u0e2a\u0e2d\u0e07\u0e0a\u0e38\u0e14<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e40\u0e07\u0e37\u0e48\u0e2d\u0e19\u0e44\u0e02\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19<\/strong><\/td>\n<td>0\u201345 \u00b0C, 10\u201390% RH (\u0e44\u0e21\u0e48\u0e04\u0e27\u0e1a\u0e41\u0e19\u0e48\u0e19)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>EG1070 Inference \u2013 Single GPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>EG1070 Inference \u2013 Single GPU \u0e04\u0e37\u0e2d\u0e23\u0e30\u0e1a\u0e1a inference \u0e41\u0e1a\u0e1a embedded \u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01\u0e17\u0e35\u0e48\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e21\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e43\u0e0a\u0e49\u0e01\u0e31\u0e1a\u0e23\u0e30\u0e1a\u0e1a\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e20\u0e32\u0e1e\u0e2d\u0e31\u0e15\u0e42\u0e19\u0e21\u0e31\u0e15\u0e34 (AOI) \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e \u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e1c\u0e48\u0e32\u0e19 GPU \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e43\u0e19\u0e0b\u0e35\u0e23\u0e35\u0e2a\u0e4c GTX 1650 \u0e2b\u0e23\u0e37\u0e2d Quadro P2200 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e30\u0e1a\u0e32\u0e22\u0e04\u0e27\u0e32\u0e21\u0e23\u0e49\u0e2d\u0e19\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e04\u0e23\u0e1a\u0e04\u0e23\u0e31\u0e19 \u0e41\u0e21\u0e49\u0e43\u0e19\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e08\u0e4d\u0e32\u0e01\u0e31\u0e14\u0e2b\u0e23\u0e37\u0e2d\u0e2a\u0e20\u0e32\u0e1e\u0e41\u0e27\u0e14\u0e25\u0e49\u0e2d\u0e21\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e23\u0e23\u0e21\u0e17\u0e35\u0e48\u0e40\u0e02\u0e49\u0e21\u0e07\u0e27\u0e14 \u0e1c\u0e48\u0e32\u0e19\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e40\u0e23\u0e48\u0e07 AI \u0e44\u0e14\u0e49\u0e40\u0e23\u0e47\u0e27 7\u201310 \u0e40\u0e17\u0e48\u0e32 (\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a YOLO) \u0e0b\u0e36\u0e48\u0e07\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e01\u0e31\u0e1a\u0e20\u0e32\u0e04\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e23\u0e23\u0e21\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e41\u0e21\u0e48\u0e19\u0e22\u0e4d\u0e32\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e23\u0e27\u0e14\u0e40\u0e23\u0e47\u0e27\u0e43\u0e19\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e42\u0e14\u0e22\u0e40\u0e09\u0e1e\u0e32\u0e30<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>EG1070 Inference \u2013 Single GPU \u0e04\u0e37\u0e2d\u0e2d\u0e38\u0e1b\u0e01\u0e23\u0e13\u0e4c AI Inference \u0e02\u0e19\u0e32\u0e14\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14\u0e08\u0e32\u0e01 Leadtek \u0e40\u0e19\u0e49\u0e19\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e43\u0e19\u0e23\u0e30\u0e1a\u0e1a\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e14\u0e49\u0e27\u0e22\u0e20\u0e32\u0e1e\u0e2d\u0e31\u0e15\u0e42\u0e19\u0e21\u0e31\u0e15\u0e34 (AOI) \u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e1d\u0e31\u0e07 GPU \u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e23\u0e38\u0e48\u0e19 GeForce GTX 1650 \u0e2b\u0e23\u0e37\u0e2d Quadro P2200 \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25 AI \u0e41\u0e1a\u0e1a\u0e40\u0e23\u0e35\u0e22\u0e25\u0e44\u0e17\u0e21\u0e4c \u0e0b\u0e36\u0e48\u0e07\u0e0a\u0e48\u0e27\u0e22\u0e01\u0e23\u0e2d\u0e07\u0e04\u0e27\u0e32\u0e21\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34\u0e43\u0e19\u0e20\u0e32\u0e1e\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e41\u0e21\u0e48\u0e19\u0e22\u0e4d\u0e32\u0e41\u0e25\u0e30\u0e25\u0e14\u0e02\u0e31\u0e49\u0e19\u0e15\u0e2d\u0e19\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e14\u0e49\u0e27\u0e22\u0e21\u0e37\u0e2d\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The EG1070 Inference \u2013 Single GPU is a compact AI inference endpoint by Leadtek, designed for Automated Optical Inspection (AOI) environments. It embeds a single GPU\u2014either GeForce GTX 1650 or Quadro P2200\u2014to perform real-time AI inference, enabling precise fault detection and significantly reducing manual inspection efforts.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The EG1070 Inference \u2013 Single GPU is a compact embedded inference system tailored for Automated Optical Inspection environments. Equipped with a single GPU (GTX 1650 or Quadro P2200), it offers full GPU acceleration for AI tasks like YOLO with impressive 7\u201310\u00d7 speedup. With complete I\/O support, active cooling, and low power consumption, it delivers a reliable, high-performance solution in tight industrial spaces\u2014ideal for real-time defect detection deployment.<\/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>EG1070 Inference \u2013 Single GPU<\/strong> \u0e40\u0e1b\u0e47\u0e19 AI Inference Appliance \u0e08\u0e32\u0e01 <strong>Leadtek<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI inference, video analytics, computer vision, edge deployment \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":19298,"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":[389,384],"product_tag":[237,403,405],"class_list":{"0":"post-18942","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-edge-ai-inference","7":"product_cat-gpu-ai-server","8":"product_tag-ai-","9":"product_tag-edge-ai","10":"product_tag-leadtek","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\/18942","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=18942"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/19298"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=18942"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=18942"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=18942"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=18942"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}