{"id":18690,"date":"2026-09-16T20:11:09","date_gmt":"2026-09-16T13:11:09","guid":{"rendered":"https:\/\/droneth.or.th\/product\/nvidia-l40\/"},"modified":"2026-09-16T20:11:09","modified_gmt":"2026-09-16T13:11:09","slug":"nvidia-l40","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/ko\/product\/nvidia-l40\/","title":{"rendered":"NVIDIA L40"},"content":{"rendered":"<p><strong>NVIDIA L40<\/strong> \u0e40\u0e1b\u0e47\u0e19 Data Center GPU \/ Accelerator \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, AI inference, HPC, virtual workstation \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>\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e08\u0e32\u0e01\u0e1c\u0e39\u0e49\u0e1c\u0e25\u0e34\u0e15:<\/strong> Powered by the Ada Lovelace architecture<\/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 training<\/li>\n<li>AI inference<\/li>\n<li>HPC<\/li>\n<li>virtual workstation<\/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>\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 GPU<\/strong><\/td>\n<td>NVIDIA Ada Lovelace architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>CUDA \ucf54\uc5b4<\/strong><\/td>\n<td>18,176<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Cores (Gen 3)<\/strong><\/td>\n<td>142<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor Cores (Gen 4)<\/strong><\/td>\n<td>568<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU Memory<\/strong><\/td>\n<td>48 GB GDDR6 with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>\uba54\ubaa8\ub9ac \uc778\ud130\ud398\uc774\uc2a4<\/strong><\/td>\n<td>384-bit<\/td>\n<\/tr>\n<tr>\n<td><strong>\uba54\ubaa8\ub9ac \ub300\uc5ed\ud3ed<\/strong><\/td>\n<td>864 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>FP32 (TFLOPS)<\/strong><\/td>\n<td>~90.5 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>RT Core (TFLOPS)<\/strong><\/td>\n<td>~209 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>Tensor TFLOPS (TF32 \/ BF16 \/ FP16 \/ FP8)<\/strong><\/td>\n<td>TF32: 90.5 (181 with sparsity), BF16\/FP16: 181 (362 w\/ sparsity), FP8: 362 (724 w\/ sparsity)<\/td>\n<\/tr>\n<tr>\n<td><strong>\ub514\uc2a4\ud50c\ub808\uc774 \uc5f0\uacb0 \ud3ec\ud2b8<\/strong><\/td>\n<td>4\u00d7 DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor<\/strong><\/td>\n<td>4.4\u2032\u2032 H \u00d7 10.5\u2032\u2032 L, Dual-slot<\/td>\n<\/tr>\n<tr>\n<td><strong>Thermal Solution<\/strong><\/td>\n<td>Passive<\/td>\n<\/tr>\n<tr>\n<td><strong>Maximum Power Consumption<\/strong><\/td>\n<td>300 W<\/td>\n<\/tr>\n<tr>\n<td><strong>Power Connector<\/strong><\/td>\n<td>1\u00d7 PCIe CEM5 16\u2010pin<\/td>\n<\/tr>\n<tr>\n<td><strong>vGPU Support<\/strong><\/td>\n<td>Yes (profiles up to 48 GB)<\/td>\n<\/tr>\n<tr>\n<td><strong>NVENC \/ NVDEC<\/strong><\/td>\n<td>3\u00d7 Encode \/ 3\u00d7 Decode, includes AV1 support<\/td>\n<\/tr>\n<tr>\n<td><strong>Secure Boot with Root of Trust<\/strong><\/td>\n<td>Supported<\/td>\n<\/tr>\n<tr>\n<td><strong>NEBS Ready<\/strong><\/td>\n<td>Level 3<\/td>\n<\/tr>\n<tr>\n<td><strong>PCIe Interface<\/strong><\/td>\n<td>PCIe Gen4 \u00d716<\/td>\n<\/tr>\n<tr>\n<td><strong>NVLink \/ MIG<\/strong><\/td>\n<td>Not supported (MIG, NVLink: No)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>NVIDIA Ada Lovelace GPU architecture<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>48GB GDDR6 with ECC<\/td>\n<\/tr>\n<tr>\n<td><strong>Max. Power Consumption<\/strong><\/td>\n<td>300W<\/td>\n<\/tr>\n<tr>\n<td><strong>Interconnect Bus<\/strong><\/td>\n<td>PCIe 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>Form Factor<\/strong><\/td>\n<td>Full-height full-length, 2-slot<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>vGPU Software Support<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e01\u0e32\u0e23\u0e4c\u0e14 NVIDIA L40 \u0e43\u0e0a\u0e49\u0e2a\u0e16\u0e32\u0e1b\u0e31\u0e15\u0e22\u0e01\u0e23\u0e23\u0e21 Ada Lovelace \u0e21\u0e35\u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 CUDA Cores \u0e2a\u0e39\u0e07\u0e16\u0e36\u0e07 18,176 \u0e04\u0e27\u0e1a\u0e04\u0e39\u0e48\u0e01\u0e31\u0e1a RT Cores (Gen 3) \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 142 \u0e41\u0e25\u0e30 Tensor Cores (Gen 4) \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 568 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a FP8 inference performance \u0e40\u0e01\u0e34\u0e19\u0e2b\u0e19\u0e36\u0e48\u0e07 petaflop \u0e21\u0e35\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 GDDR6 \u0e02\u0e19\u0e32\u0e14 48 GB \u0e1e\u0e23\u0e49\u0e2d\u0e21 ECC \u0e41\u0e25\u0e30\u0e41\u0e1a\u0e19\u0e14\u0e4c\u0e27\u0e34\u0e14\u0e17\u0e4c 864 GB\/s \u0e01\u0e32\u0e23\u0e4c\u0e14\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a vGPU, Secure Boot with Root of Trust, \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19 NEBS Level 3 \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e43\u0e19\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 24\/7 \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e21\u0e35\u0e40\u0e2a\u0e16\u0e35\u0e22\u0e23\u0e20\u0e32\u0e1e\u0e41\u0e25\u0e30\u0e1b\u0e25\u0e2d\u0e14\u0e20\u0e31\u0e22<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA L40 is a data\u2010center GPU built for AI compute, real\u2010time rendering, and high\u2010fidelity visualization. Powered by the Ada Lovelace architecture, it supports diverse workloads\u2014from virtual workstations and Omniverse to AR\/VR\u2014offering robust performance for modern visual compute environments.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA L40 features Ada Lovelace architecture with 18,176 CUDA Cores, 142 third-generation RT Cores and 568 fourth-generation Tensor Cores, delivering over one petaflop of FP8 inference performance. It packs 48 GB of GDDR6 ECC memory with 864 GB\/s bandwidth. Equipped with vGPU support, Secure Boot with Root of Trust, and NEBS Level 3 compliance, the L40 is designed for secure, reliable 24\/7 data center operations.<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>The NVIDIA L40 is a versatile GPU for data centers that merges graphic, AI, and media processing capabilities. It excels in workloads like real-time rendering, large model inference, and high-resolution video streaming, powered by Gen 4 Tensor Cores supporting FP8 and Gen 3 RT Cores for accelerated ray tracing. With support for virtualization, advanced security features, and 24\/7 readiness, the L40 is an ideal solution for modern centers seeking reliable, high-performance, and secure compute infrastructure.<\/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>\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e2d\u0e49\u0e32\u0e07\u0e2d\u0e34\u0e07\u0e08\u0e32\u0e01\u0e1c\u0e39\u0e49\u0e1c\u0e25\u0e34\u0e15: <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/l40\/\" target=\"_blank\" rel=\"nofollow noopener\">NVIDIA<\/a><\/p>\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 L40<\/strong> \u0e40\u0e1b\u0e47\u0e19 Data Center GPU \/ Accelerator \u0e08\u0e32\u0e01 <strong>NVIDIA<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI training, AI inference, HPC, virtual workstation \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":18691,"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":[388,384],"product_tag":[237,397,396],"class_list":{"0":"post-18690","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-data-center-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\/18690","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=18690"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media\/18691"}],"wp:attachment":[{"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/media?parent=18690"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_brand?post=18690"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_cat?post=18690"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/droneth.or.th\/ko\/wp-json\/wp\/v2\/product_tag?post=18690"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}