{"id":6551,"date":"2025-03-28T09:45:33","date_gmt":"2025-03-28T09:45:33","guid":{"rendered":"https:\/\/drone.or.th\/?p=6551"},"modified":"2025-03-28T10:22:18","modified_gmt":"2025-03-28T10:22:18","slug":"nvidia-dgx-spark","status":"publish","type":"post","link":"https:\/\/gpucore.co\/en\/nvidia-dgx-spark\/","title":{"rendered":"Get to know NVIDIA DGX\u2122 Spark: Maximum AI performance in a compact form"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"6551\" class=\"elementor elementor-6551\">\n\t\t\t\t<div class=\"elementor-element elementor-element-97e45f4 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"97e45f4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-610b095 elementor-widget elementor-widget-image\" data-id=\"610b095\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-2_11zon-1024x576.webp\" class=\"attachment-large size-large wp-image-6553\" alt=\"NVIDIA DGX Spark\" srcset=\"https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-2_11zon-1024x576.webp 1024w, https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-2_11zon-scaled-600x338.webp 600w, https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-2_11zon-300x169.webp 300w, https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-2_11zon-768x432.webp 768w, https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-2_11zon-1536x864.webp 1536w, https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-2_11zon-2048x1152.webp 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3e86072 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"3e86072\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6e4f2b8 elementor-widget elementor-widget-text-editor\" data-id=\"6e4f2b8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"entry-title\"><strong>NVIDIA DGX\u2122 Spark : <\/strong>Maximum AI performance in a compact form factor<\/h2><p><span style=\"font-weight: 400;\">The NVIDIA DGX Spark is a compact yet highly powerful AI desktop supercomputer, utilizing the NVIDIA GB10 Grace Blackwell Superchip designed specifically for AI applications. Featuring the NVIDIA Grace Blackwell architecture, the DGX Spark delivers AI processing capability up to 1,000 TOPS (FP4), making it ideal for AI developers, researchers, data scientists, and students who want to build, fine-tune, and deploy large AI models.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-55518b8 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"55518b8\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c44b465 elementor-widget elementor-widget-text-editor\" data-id=\"c44b465\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><strong>Main features of <\/strong><strong>NVIDIA DGX\u2122 Spark<\/strong><\/h2><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><p><span style=\"font-weight: 400;\">Processor chip: NVIDIA GB10 Grace Blackwell Superchip, including a Blackwell architecture GPU with 5th generation Tensor Cores and 4th generation RT Cores, and a 20-core CPU (10 Cortex-X925 + 10 Cortex-A725 Arm).<\/span><\/p><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><p><span style=\"font-weight: 400;\">Memory: 128GB LPDDR5x RAM (Unified System Memory) with memory bandwidth up to 273 GB\/s.<\/span><\/p><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><p><span style=\"font-weight: 400;\">Storage: 1TB or 4TB NVMe M.2 SSD with self-encryption function.<\/span><\/p><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><p><span style=\"font-weight: 400;\">Connectivity: HDMI 2.1a port, RJ-45 10GbE port, WiFi 7, Bluetooth 5.3, and 4 USB4 ports.<\/span><\/p><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><p><span style=\"font-weight: 400;\">Operation: Runs on NVIDIA DGX OS, developed from Ubuntu 22.04, supporting large AI models such as NVIDIA Cosmos Reason and NVIDIA GR00T N1.<\/span><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-116cdd0 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"116cdd0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c9d7bbc elementor-arrows-position-inside elementor-widget elementor-widget-image-carousel\" data-id=\"c9d7bbc\" data-element_type=\"widget\" data-settings=\"{&quot;slides_to_show&quot;:&quot;1&quot;,&quot;navigation&quot;:&quot;arrows&quot;,&quot;autoplay&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;infinite&quot;:&quot;yes&quot;,&quot;effect&quot;:&quot;slide&quot;,&quot;speed&quot;:500}\" data-widget_type=\"image-carousel.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-image-carousel-wrapper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Image Carousel\" dir=\"ltr\">\n\t\t\t<div class=\"elementor-image-carousel swiper-wrapper swiper-image-stretch\" aria-live=\"off\">\n\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"1 of 5\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-14_11zon-1536x864.webp\" alt=\"NVIDIA DGX Spark\" \/><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"2 of 5\"><figure class=\"swiper-slide-inner\"><img decoding=\"async\" class=\"swiper-slide-image\" src=\"https:\/\/gpucore.co\/wp-content\/uploads\/2025\/03\/Templete-News-13_11zon-1536x864.webp\" 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data-ved=\"2ahUKEwizxrbopqyMAxWMSGwGHZgzJ4UQ3ewLegQIDxAV\" aria-label=\"Translated text: \u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e42\u0e2b\u0e25\u0e14\u0e40\u0e23\u0e48\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e42\u0e2b\u0e25\u0e14 AI \u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14NVIDIA DGX Spark \u0e21\u0e2d\u0e1a\u0e1e\u0e25\u0e31\u0e07\u0e02\u0e2d\u0e07\u0e0b\u0e39\u0e40\u0e1b\u0e2d\u0e23\u0e4c\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c AI \u0e43\u0e19\u0e02\u0e19\u0e32\u0e14\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e01\u0e31\u0e1a\u0e40\u0e14\u0e2a\u0e01\u0e4c\u0e17\u0e47\u0e2d\u0e1b \u0e08\u0e36\u0e07\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e22\u0e34\u0e48\u0e07\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e42\u0e2b\u0e25\u0e14\u0e02\u0e2d\u0e07\u0e19\u0e31\u0e01\u0e1e\u0e31\u0e12\u0e19\u0e32 AI \u0e19\u0e31\u0e01\u0e27\u0e34\u0e08\u0e31\u0e22 \u0e41\u0e25\u0e30\u0e19\u0e31\u0e01\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\"><strong><span class=\"Y2IQFc\" lang=\"th\">Accelerate all AI workloads. NVIDIA DGX Spark delivers the power of an AI supercomputer in a desktop-sized form, making it ideal for the workloads of AI developers, researchers, and data scientists.<\/span><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-df7b8e2 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"df7b8e2\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bfe1e08 elementor-widget elementor-widget-text-editor\" data-id=\"bfe1e08\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p id=\"tw-target-text\" class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\" data-ved=\"2ahUKEwizxrbopqyMAxWMSGwGHZgzJ4UQ3ewLegQIDxAV\" aria-label=\"Translated text: \u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e41\u0e15\u0e48\u0e07\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14 \u0e1b\u0e23\u0e31\u0e1a\u0e41\u0e15\u0e48\u0e07\u0e42\u0e21\u0e40\u0e14\u0e25 AI \u0e44\u0e14\u0e49\u0e16\u0e36\u0e07 70 \u0e1e\u0e31\u0e19\u0e25\u0e49\u0e32\u0e19\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c \u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e42\u0e21\u0e40\u0e14\u0e25\u0e17\u0e35\u0e48\u0e1c\u0e48\u0e32\u0e19\u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01\u0e2d\u0e1a\u0e23\u0e21\u0e25\u0e48\u0e27\u0e07\u0e2b\u0e19\u0e49\u0e32\u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e41\u0e15\u0e48\u0e07\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e1a\u0e19 NVIDIA DGX Spark \u0e14\u0e49\u0e27\u0e22\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e33\u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e27\u0e21 128GB \u0e1b\u0e23\u0e31\u0e1a\u0e41\u0e15\u0e48\u0e07\u0e42\u0e21\u0e40\u0e14\u0e25\u0e44\u0e14\u0e49\u0e21\u0e32\u0e01\u0e16\u0e36\u0e07 70 \u0e1e\u0e31\u0e19\u0e25\u0e49\u0e32\u0e19\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e1b\u0e23\u0e31\u0e1a\u0e41\u0e15\u0e48\u0e07\u0e42\u0e21\u0e40\u0e14\u0e25\u0e41\u0e25\u0e30\u0e42\u0e0b\u0e25\u0e39\u0e0a\u0e31\u0e19 AI \u0e43\u0e2b\u0e49\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e01\u0e31\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e41\u0e25\u0e30\u0e01\u0e23\u0e13\u0e35\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e40\u0e08\u0e32\u0e30\u0e08\u0e07\"><span class=\"Y2IQFc\" lang=\"th\">Fine-tuning: Customize AI models with up to 70 billion parameters. Enhance the performance of pretrained models with fine-tuning on the NVIDIA DGX Spark, featuring a total system memory of 128GB. Fine-tune models with up to 70 billion parameters to tailor AI models and solutions to specific needs and use cases.<\/span><\/p><p class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\" data-ved=\"2ahUKEwizxrbopqyMAxWMSGwGHZgzJ4UQ3ewLegQIDxAV\" aria-label=\"Translated text: Data Science \u0e40\u0e23\u0e48\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e41\u0e1a\u0e1a\u0e04\u0e23\u0e1a\u0e27\u0e07\u0e08\u0e23\u0e14\u0e49\u0e27\u0e22 NVIDIA RAPIDS\u2122 \u0e15\u0e31\u0e49\u0e07\u0e41\u0e15\u0e48\u0e01\u0e32\u0e23\u0e40\u0e15\u0e23\u0e35\u0e22\u0e21\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e44\u0e1b\u0e08\u0e19\u0e16\u0e36\u0e07\u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01\u0e41\u0e1a\u0e1a\u0e08\u0e33\u0e25\u0e2d\u0e07 \u0e01\u0e32\u0e23\u0e2d\u0e19\u0e38\u0e21\u0e32\u0e19 \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e43\u0e0a\u0e49 NVIDIA RAPIDS \u0e1a\u0e19 NVIDIA DGX Spark \u0e08\u0e30\u0e25\u0e14\u0e04\u0e27\u0e32\u0e21\u0e0b\u0e31\u0e1a\u0e0b\u0e49\u0e2d\u0e19\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e14\u0e49\u0e27\u0e22\u0e15\u0e31\u0e27\u0e40\u0e23\u0e48\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e17\u0e35\u0e48\u0e44\u0e21\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e42\u0e04\u0e49\u0e14\u0e41\u0e25\u0e30 API \u0e17\u0e35\u0e48\u0e04\u0e38\u0e49\u0e19\u0e40\u0e04\u0e22\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e23\u0e48\u0e07\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e42\u0e2b\u0e25\u0e14\u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e22\u0e39\u0e48\u0e2b\u0e23\u0e37\u0e2d\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e42\u0e0b\u0e25\u0e39\u0e0a\u0e31\u0e19\u0e01\u0e23\u0e13\u0e35\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e23\u0e27\u0e14\u0e40\u0e23\u0e47\u0e27 \u0e41\u0e25\u0e30\u0e1b\u0e23\u0e31\u0e1a\u0e02\u0e19\u0e32\u0e14\u0e2d\u0e2d\u0e01\u0e44\u0e1b\u0e22\u0e31\u0e07\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e2b\u0e23\u0e37\u0e2d\u0e04\u0e25\u0e32\u0e27\u0e14\u0e4c\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22\u0e14\u0e32\u0e22\"><span class=\"Y2IQFc\" lang=\"th\">Data Science accelerates end-to-end data science workflows with NVIDIA RAPIDS\u2122, from data preparation to model training, inference, and deployment. NVIDIA RAPIDS on NVIDIA DGX Spark simplifies development with accelerators that require no code changes and familiar APIs to speed up existing workloads or rapidly develop specific use-case solutions, easily scaling out to data centers or the cloud.<\/span><\/p><p class=\"tw-data-text tw-text-large tw-ta\" dir=\"ltr\" data-placeholder=\"Translation\" data-ved=\"2ahUKEwizxrbopqyMAxWMSGwGHZgzJ4UQ3ewLegQIDxAV\" aria-label=\"Translated text: Data Science \u0e40\u0e23\u0e48\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e14\u0e49\u0e32\u0e19\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e41\u0e1a\u0e1a\u0e04\u0e23\u0e1a\u0e27\u0e07\u0e08\u0e23\u0e14\u0e49\u0e27\u0e22 NVIDIA RAPIDS\u2122 \u0e15\u0e31\u0e49\u0e07\u0e41\u0e15\u0e48\u0e01\u0e32\u0e23\u0e40\u0e15\u0e23\u0e35\u0e22\u0e21\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e44\u0e1b\u0e08\u0e19\u0e16\u0e36\u0e07\u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01\u0e41\u0e1a\u0e1a\u0e08\u0e33\u0e25\u0e2d\u0e07 \u0e01\u0e32\u0e23\u0e2d\u0e19\u0e38\u0e21\u0e32\u0e19 \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e43\u0e0a\u0e49 NVIDIA RAPIDS \u0e1a\u0e19 NVIDIA DGX Spark \u0e08\u0e30\u0e25\u0e14\u0e04\u0e27\u0e32\u0e21\u0e0b\u0e31\u0e1a\u0e0b\u0e49\u0e2d\u0e19\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e14\u0e49\u0e27\u0e22\u0e15\u0e31\u0e27\u0e40\u0e23\u0e48\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27\u0e17\u0e35\u0e48\u0e44\u0e21\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e42\u0e04\u0e49\u0e14\u0e41\u0e25\u0e30 API \u0e17\u0e35\u0e48\u0e04\u0e38\u0e49\u0e19\u0e40\u0e04\u0e22\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e23\u0e48\u0e07\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e42\u0e2b\u0e25\u0e14\u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e22\u0e39\u0e48\u0e2b\u0e23\u0e37\u0e2d\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e42\u0e0b\u0e25\u0e39\u0e0a\u0e31\u0e19\u0e01\u0e23\u0e13\u0e35\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e40\u0e09\u0e1e\u0e32\u0e30\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e23\u0e27\u0e14\u0e40\u0e23\u0e47\u0e27 \u0e41\u0e25\u0e30\u0e1b\u0e23\u0e31\u0e1a\u0e02\u0e19\u0e32\u0e14\u0e2d\u0e2d\u0e01\u0e44\u0e1b\u0e22\u0e31\u0e07\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e2b\u0e23\u0e37\u0e2d\u0e04\u0e25\u0e32\u0e27\u0e14\u0e4c\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22\u0e14\u0e32\u0e22\"><span class=\"Y2IQFc\" lang=\"th\"><br \/><\/span><span class=\"Y2IQFc\" lang=\"th\">Edge Applications: Develop Edge applications using NVIDIA AI frameworks including Isaac\u2122, Metropolis, and many more. DGX Spark provides an excellent platform for developing robotics, smart cities, and computer vision solutions. NVIDIA frameworks like Isaac, Metropolis, and Holoscan enable developers to leverage the power of NVIDIA DGX Spark to rapidly build Edge applications.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4833a4c e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"4833a4c\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ca67b8c elementor-widget elementor-widget-text-editor\" data-id=\"ca67b8c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>Performance and capabilities<\/b><\/h2><p><span style=\"font-weight: 400;\">DGX Spark offers very high AI processing power, capable of up to 1,000 TOPS (FP4), making it suitable for fine-tuning and inference of complex AI models. Additionally, it supports inter-machine connectivity for larger models using NVIDIA ConnectX Networking technology.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6ae8b80 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"6ae8b80\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5bcfd6d elementor-widget elementor-widget-text-editor\" data-id=\"5bcfd6d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3 data-start=\"0\" data-end=\"35\"><strong data-start=\"4\" data-end=\"33\">Specifications of NVIDIA DGX\u2122 Spark<\/strong><\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-379f5eb e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"379f5eb\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-961da80 elementor-widget elementor-widget-text-editor\" data-id=\"961da80\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<table cellspacing=\"0\" cellpadding=\"0\"><tbody><tr><td>Architecture<\/td><td>NVIDIA Grace Blackwell<\/td><\/tr><tr><td>GPU<\/td><td>Blackwell Architecture<\/td><\/tr><tr><td>CPU<\/td><td>20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm<\/td><\/tr><tr><td>CUDA Cores<\/td><td>Blackwell Generation<\/td><\/tr><tr><td>Tensor Cores<\/td><td>5th Generation<\/td><\/tr><tr><td>RT Cores<\/td><td>4th Generation<\/td><\/tr><tr><td>Tensor Performance<sup>1<\/sup><\/td><td>1000 AI TOPS<\/td><\/tr><tr><td>System Memory<\/td><td>128 GB LPDDR5x, unified system memory<\/td><\/tr><tr><td>Memory Interface<\/td><td>256-bit<\/td><\/tr><tr><td>Memory Bandwidth<\/td><td>273 GB\/s<\/td><\/tr><tr><td>Storage<\/td><td>1 or 4 TB NVME.M2 with self-encryption<\/td><\/tr><tr><td>USB<\/td><td>4x USB 4 TypeC (up to 40Gb\/s)<\/td><\/tr><tr><td>Ethernet<\/td><td>1x RJ-45 connector<br \/>10 GbE<\/td><\/tr><tr><td>NIC<\/td><td>ConnectX-7 Smart NIC<\/td><\/tr><tr><td>Wi-Fi<\/td><td>WiFi 7<\/td><\/tr><tr><td>Bluetooth<\/td><td>BT 5.3<\/td><\/tr><tr><td>Audio-output<\/td><td>HDMI multichannel audio output<\/td><\/tr><tr><td>Power Consumption<\/td><td>170W<\/td><\/tr><tr><td>Display Connectors<\/td><td>1x HDMI 2.1a<\/td><\/tr><tr><td>NVENC | NVDEC<\/td><td>1x | 1x<\/td><\/tr><tr><td>OS<\/td><td>NVIDIA DGX<sup>\u2122<\/sup>\u00a0OS<\/td><\/tr><tr><td>System Dimensions<\/td><td>150 mm L x 150 mm W x 50.5 mm H<\/td><\/tr><tr><td>System Weight<\/td><td>1.2 kg<\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4abea6f e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"4abea6f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3cf003e elementor-widget elementor-widget-text-editor\" data-id=\"3cf003e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b>Summary<\/b><\/h2><p><span style=\"font-weight: 400;\">NVIDIA DGX Spark is a powerful tool for AI development in a compact desktop form, featuring high performance and impressive AI processing capabilities, enabling AI developers to efficiently build and fine-tune AI models.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e14ad05 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"e14ad05\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5140df6 elementor-widget elementor-widget-text-editor\" data-id=\"5140df6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>\u00a0<\/p><hr \/><p>Read more product information at: <a href=\"https:\/\/mtxr.co\/shop\/nvidia-dgx-spark\/\"><span style=\"color: #0000ff;\">(https:\/\/mtxr.co\/shop\/nvidia-dgx-spark\/)<\/span><\/a><\/p><p>For inquiries, contact LINE ID: @metaxr <span style=\"color: #0000ff;\">( <a style=\"color: #0000ff;\" href=\"https:\/\/lin.ee\/MVuGWFC\">https:\/\/lin.ee\/MVuGWFC\u00a0<\/a>)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>NVIDIA DGX\u2122 Spark : \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e AI \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e01\u0e30\u0e17\u0e31\u0e14\u0e23\u0e31\u0e14 NVIDIA DGX Spark<\/p>","protected":false},"author":2,"featured_media":6564,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","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":"","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 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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 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