{"id":18990,"date":"2026-09-16T20:14:31","date_gmt":"2026-09-16T13:14:31","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-rtx-a5500\/"},"modified":"2026-09-16T20:14:31","modified_gmt":"2026-09-16T13:14:31","slug":"nvidia-rtx-a5500","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/en\/product\/nvidia-rtx-a5500\/","title":{"rendered":"NVIDIA RTX A5500"},"content":{"rendered":"<p><strong>NVIDIA RTX A5500<\/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>section<\/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>NVIDIA Ampere architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA Cores<\/strong><\/td>\n<td>10,240 CUDA Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores<\/strong><\/td>\n<td>320 Third-generation Tensor Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Cores<\/strong><\/td>\n<td>80 Second-generation RT Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e<\/strong><\/td>\n<td>~34.1 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Core Performance<\/strong><\/td>\n<td>~66.6 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Performance<\/strong><\/td>\n<td>~272.8 TFLOPS (Sparsity)<\/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>24 GB GDDR6 with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>Memory Interface &amp; Bandwidth<\/strong><\/td>\n<td>384-bit \/ 768 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2d\u0e34\u0e19\u0e40\u0e17\u0e2d\u0e23\u0e4c\u0e40\u0e1f\u0e0b\u0e23\u0e30\u0e1a\u0e1a<\/strong><\/td>\n<td>PCI Express 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>Display Connectors<\/strong><\/td>\n<td>4\u00d7 DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e4d\u0e32\u0e25\u0e31\u0e07\u0e44\u0e1f\u0e1e\u0e37\u0e49\u0e19\u0e10\u0e32\u0e19 (TDP)<\/strong><\/td>\n<td>230 W<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor \/Cooling<\/strong><\/td>\n<td>Dual-slot, active cooling<\/td>\n<\/tr>\n<tr>\n<td><strong>NVLink \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a<\/strong><\/td>\n<td>2-way low-profile NVLink \u2013 up to 48 GB combined memory<\/td>\n<\/tr>\n<tr>\n<td><strong>vGPU Software<\/strong><\/td>\n<td>Supports vPC, vApps, RTX Virtual Workstation (vWS), vCS<\/td>\n<\/tr>\n<tr>\n<td><strong>Sync &amp; Multidisplay<\/strong><\/td>\n<td>Quadro Sync II, Frame Lock, Mosaic<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e27\u0e34\u0e14\u0e35\u0e42\u0e2d\u0e40\u0e02\u0e49\u0e32\u0e23\u0e2b\u0e31\u0e2a\/\u0e16\u0e2d\u0e14\u0e23\u0e2b\u0e31\u0e2a<\/strong><\/td>\n<td>NVENC &amp; NVDEC, AV1 decode<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14\u0e01\u0e32\u0e23\u0e4c\u0e14 \/ \u0e19\u0e49\u0e4d\u0e32\u0e2b\u0e19\u0e31\u0e01<\/strong><\/td>\n<td>267 mm L \u00d7 112 mm W; ~1.025 kg<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a API<\/strong><\/td>\n<td>OpenGL 4.6, Vulkan 1.3, DirectX 12 Ultimate, CUDA 11+<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e04\u0e38\u0e13\u0e2a\u0e21\u0e1a\u0e31\u0e15\u0e34\u0e40\u0e14\u0e48\u0e19\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/td>\n<td>ECC memory, GPUDirect<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e18\u0e4c NVLink<\/strong><\/td>\n<td>112.5 GB\/s bidirectional<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Ampere GPU architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>10,240 NVIDIA CUDA Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>320 NVIDIA Tensor Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>80 NVIDIA RT Cores<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>24GB GDDR6 Memory with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Up to 768GB\/s Memory Bandwidth<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>230W<\/td>\n<\/tr>\n<tr>\n<td><strong>Graphics Bus<\/strong><\/td>\n<td>PCI-E 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>Display Connectors<\/strong><\/td>\n<td>DP 1.4 (4)<\/td>\n<\/tr>\n<tr>\n<td><strong>Frame Lock<\/strong><\/td>\n<td>Compatible with Quadro Sync II<\/td>\n<\/tr>\n<tr>\n<td><strong>NVLink<\/strong><\/td>\n<td>2-way low profile (2-slot and 3-slot bridges)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA RTX A5500 \u0e04\u0e37\u0e2d\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e01\u0e32\u0e23\u0e4c\u0e14\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e21\u0e37\u0e2d\u0e2d\u0e32\u0e0a\u0e35\u0e1e\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ampere \u0e2d\u0e31\u0e19\u0e17\u0e23\u0e07\u0e1e\u0e25\u0e31\u0e07 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI, \u0e01\u0e32\u0e23\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c, \u0e01\u0e32\u0e23\u0e08\u0e4d\u0e32\u0e25\u0e2d\u0e07 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e41\u0e21\u0e48\u0e19\u0e22\u0e4d\u0e32\u0e2a\u0e39\u0e07 \u0e14\u0e49\u0e27\u0e22\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 ECC GDDR6 \u0e02\u0e19\u0e32\u0e14 24 GB \u0e17\u0e35\u0e48\u0e02\u0e22\u0e32\u0e22\u0e44\u0e14\u0e49\u0e16\u0e36\u0e07 48 GB \u0e1c\u0e48\u0e32\u0e19 NVLink \u0e41\u0e25\u0e30\u0e1f\u0e35\u0e40\u0e08\u0e2d\u0e23\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e40\u0e0a\u0e48\u0e19 vGPU, Quadro Sync II \u0e41\u0e25\u0e30 NVLink \u0e17\u0e35\u0e48\u0e0a\u0e48\u0e27\u0e22\u0e43\u0e2b\u0e49\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e40\u0e19\u0e37\u0e49\u0e2d\u0e2b\u0e32\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e23\u0e32\u0e1a\u0e23\u0e37\u0e48\u0e19 \u0e42\u0e14\u0e22\u0e44\u0e21\u0e48\u0e25\u0e14\u0e17\u0e2d\u0e19\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 NVIDIA RTX A5500 is a high-performance workstation GPU built on the powerful Ampere architecture. It excels in demanding AI, rendering, simulation, and design workloads with its 24 GB ECC GDDR6 memory (expandable to 48 GB via NVLink) and enterprise-grade features like vGPU support, Quadro Sync II, and NVLink\u2014enabling smooth handling of large-scale content without compromising performance<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA RTX A5500 is a professional workstation GPU that harnesses Ampere architecture to deliver exceptional compute power with 24 GB of ECC GDDR6 memory (expandable to 48 GB via NVLink). Excelling in AI, rendering, simulation, and visualization tasks, it includes enterprise-grade features like vGPU support, Quadro Sync II, and GPUDirect for robust and flexible workflows. Designed for both desktops and server-scale environments, it\u2019s ideal for users demanding high performance and reliability.<\/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 RTX A5500<\/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":19254,"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-18990","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\/en\/wp-json\/wp\/v2\/product\/18990","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/comments?post=18990"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media\/19254"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/media?parent=18990"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_brand?post=18990"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_cat?post=18990"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/en\/wp-json\/wp\/v2\/product_tag?post=18990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}