{"id":9043,"date":"2026-08-13T12:46:47","date_gmt":"2026-08-13T12:46:47","guid":{"rendered":"https:\/\/openzeka.com\/en\/?post_type=product&p=9043"},"modified":"2026-08-13T13:58:43","modified_gmt":"2026-08-13T13:58:43","slug":"nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe","status":"publish","type":"product","link":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/","title":{"rendered":"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE"},"content":{"rendered":"
<\/span><\/div>

NVIDIA DGX Spark 8-Node AI Cluster
\n<\/b><\/p><\/h3><\/div>

NVIDIA DGX Spark 8-Node AI Cluster is a compact and scalable AI cluster that combines eight NVIDIA DGX Spark systems through a high-speed switch-based network architecture.<\/p>\n

The package includes eight NVIDIA DGX Spark systems, one MikroTik CRS804 compute switch, four 400G QSFP-DD to 2 \u00d7 200G QSFP56 breakout cables, one MikroTik CRS312 in-band management switch, and ten Cat6 10GbE Ethernet cables.<\/p>\n

Depending on the customer’s preference, the DGX Spark 8-Node AI Cluster can either be delivered unconfigured or shipped with free pre-installation by OpenZeka. With the unconfigured option, all components are provided as part of the standard package, and the installation is performed by the customer. If free pre-installation is selected, the compute and management networks are configured, connections are checked, and basic cluster communication is verified before shipment.<\/p>\n

Each DGX Spark node is connected to the compute switch via a 200GbE connection through NVIDIA ConnectX-7. This compute network can be used for NCCL collective operations, model parallelization, and distributed AI data transfer using RoCEv2-based RDMA communication. Management, SSH, internet access, model downloads, and standard network traffic are handled through a separate 10GbE management network. This configuration keeps the high-speed compute network dedicated to AI communication between nodes.<\/p>\n<\/div>

<\/span><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div>

Scalable AI Infrastructure with Eight Nodes<\/strong><\/p>\n

Each NVIDIA DGX Spark includes 128 GB of coherent unified system memory. A four-node configuration provides a total of:<\/p>\n

    \n
  • 1 TB of distributed unified memory capacity<\/li>\n
  • 32 TB of local NVMe storage<\/li>\n<\/ul>\n

    The eight-node configuration is particularly well suited for:<\/p>\n

      \n
    • Running large models that exceed the total memory capacity of a single, two, or three Spark systems by distributing them across four nodes using tensor parallelism, pipeline parallelism, or other supported distributed methods<\/li>\n
    • Running models that can operate on fewer Spark systems at higher throughput when appropriate parallelization support is available<\/li>\n
    • Providing greater total capacity for model weights, KV cache, and working memory when using long context lengths<\/li>\n
    • Increasing overall system capacity in inference scenarios where a larger number of concurrent users or requests are served by the same model<\/li>\n
    • Running large language models using distributed inference methods<\/li>\n
    • Multi-node communication based on NCCL and MPI<\/li>\n
    • RAG and agentic AI applications<\/li>\n
    • High-speed node-to-node data communication over RoCEv2\/RDMA<\/li>\n
    • RDMA infrastructure designed to reduce network processing overhead on host CPUs during GPU communication<\/li>\n
    • Multimodal generative AI workloads<\/li>\n
    • Model quantization and performance testing<\/li>\n
    • Prototyping distributed architectures before transitioning to a data center environment<\/li>\n<\/ul>\n

      Model compatibility and achievable performance vary depending on the model architecture, quantization format, context length, KV cache requirements, framework support, batch size, and parallelization method.<\/p>\n<\/div>

      <\/span><\/div>

      Switch-Based Compute Network
      \n<\/b><\/p>\n

      The compute network is built on a MikroTik CRS812 switch.<\/p>\n

      The CRS812 provides the following high-speed connectivity:<\/p>\n

        \n
      • 4 \u00d7 400G QSFP56-DD<\/li>\n<\/ul>\n

        The switch also features RouterOS v7, a quad-core 2 GHz ARM processor, 4 GB of RAM, redundant hot-swappable power supplies, and hot-swappable fans. MikroTik also positions this model for AI clusters and laboratory environments requiring high-speed east-west traffic.<\/p>\n

        In the DGX Spark 8-Node configuration, all four 400G ports on the CRS804 are used. Each 400G port is split into two 200G QSFP56 connections using a passive breakout cable, providing a 200GbE physical connection for each Spark.<\/p>\n

        The DGX Spark 8-Node compute network is configured to take advantage of the RoCEv2 and RDMA capabilities of the NVIDIA ConnectX-7 adapters. RoCEv2 carries RDMA communication over Ethernet and IP infrastructure, enabling high-bandwidth, low-overhead data transfer between nodes.<\/p>\n

        This architecture is particularly suitable for intensive inter-node data transfers during NCCL collective operations, tensor parallelism, pipeline parallelism, and distributed inference.<\/p>\n

        RoCE performance can be affected by switch queueing, MTU settings, traffic classification, PFC\/flow control, ECN, and software configuration. As part of the OpenZeka installation, link speeds, RDMA devices, and inter-node communication are also verified.<\/p>\n

        RoCE performance can be affected by switch queues, MTU configuration, traffic classification, PFC\/flow control, ECN, and software-level settings. In OpenZeka deployments, link speeds, RDMA devices, and inter-node communication are additionally verified.<\/p>\n<\/div>

        <\/span><\/div>

        Dedicated 10GbE Management Network
        \n<\/b><\/p>\n

        The in-band management network is provided through the MikroTik CRS312-4C+8XG-RM.<\/p>\n

        The CRS312 features:<\/p>\n

          \n
        • 8 \u00d7 10G RJ45 Ethernet ports<\/li>\n
        • 4 \u00d7 10G RJ45\/SFP+ combo ports<\/li>\n
        • 120 Gbps non-blocking throughput<\/li>\n
        • 240 Gbps switching capacity<\/li>\n
        • RouterOS v7 or SwitchOS support<\/li>\n<\/ul>\n

          Each Spark system is connected to the CRS312 using a single Cat6 Ethernet cable. This network is used for:<\/p>\n

            \n
          • SSH access<\/li>\n
          • System management<\/li>\n
          • Software updates<\/li>\n
          • Model downloads<\/li>\n
          • Internet access<\/li>\n
          • Monitoring and log traffic<\/li>\n
          • Optional NAS access<\/li>\n<\/ul>\n

            The separation of compute and management networks prevents standard management and internet traffic from traversing the ConnectX-7 compute links, ensuring that the high-speed network is dedicated to distributed AI communication.<\/p>\n<\/div>

            <\/span><\/div>

            Optional Shared NAS Storage
            \n<\/b><\/p>\n

            The cluster can optionally be delivered with an ASUSTOR Lockerstor AS6808T NAS and eight NAS-grade drives. In the standard example configuration, 8 \u00d7 8 TB Western Digital WD80EFPX-68C4ZN0<\/strong> drives are used. The disk brand, model number, and capacity can be customized based on stock availability or project requirements.<\/p>\n

            Example 8 \u00d7 8 TB Configuration:<\/p>\n\n\n\n\n\n\n\n
            \n

            Configuration<\/b><\/p>\n<\/td>\n

            		\n

            Approximate Raw Capacity<\/b><\/p>\n<\/td>\n

            		\n

            Disk Protection<\/b><\/p>\n<\/td>\n<\/tr>\n

            \n

            RAW\/JBOD<\/p>\n<\/td>\n

            		\n

            64 TB<\/p>\n<\/td>\n

            		\n

            Depends on configuration<\/p>\n<\/td>\n<\/tr>\n

            \n

            RAID 0<\/p>\n<\/td>\n

            		\n

            64 TB<\/p>\n<\/td>\n

            		\n

            None<\/p>\n<\/td>\n<\/tr>\n

            \n

            RAID 5<\/p>\n<\/td>\n

            		\n

            56 TB<\/p>\n<\/td>\n

            		\n

            1 disk<\/p>\n<\/td>\n<\/tr>\n

            \n

            RAID 6<\/p>\n<\/td>\n

            		\n

            48 TB<\/p>\n<\/td>\n

            		\n

            2 disks<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            The actual usable capacity will be lower than the raw values shown in the table due to the disk manufacturer’s capacity calculation method, RAID metadata, file system overhead, and system-reserved space.<\/p>\n

            The NAS is connected to the MikroTik CRS312 switch using dual LACP-supported links with two Cat6 Ethernet cables.<\/p>\n

            Bonding can provide advantages such as:<\/p>\n

              \n
            • Link redundancy<\/li>\n
            • Load balancing across multiple clients<\/li>\n
            • Distribution of multiple simultaneous data streams<\/li>\n<\/ul>\n

              The disk brand, disk capacity, and RAID configuration can be customized according to project requirements. Depending on stock availability, technically equivalent NAS-grade drives with the same capacity and usage class may be provided instead of the specified disk model.<\/p>\n<\/div>

              <\/span><\/div>

              OpenZeka Cluster Solution
              \n<\/b><\/p>\n

              The DGX Spark 8-Node AI Cluster is not simply a hardware package consisting of eight computers placed side by side. By combining a high-speed compute network, a separate management network, breakout connectivity infrastructure, and optional shared storage, it provides a comprehensive infrastructure platform for distributed AI workloads.<\/p>\n

              Depending on the customer’s preference, the system can either be delivered unconfigured with all components included or shipped with free pre-installation by OpenZeka. As part of the free pre-installation, the compute and management connections are configured, the 200GbE links are checked, basic node access is established, and cluster communication is verified.<\/p>\n

              Additional services such as customer-specific model installation, custom network policies, enterprise integrations, data transfer, application installation, and performance optimization can be evaluated separately as part of the project.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

              NVIDIA DGX Spark 8-Node AI Cluster<\/strong><\/p>\n

              This package includes eight NVIDIA DGX Spark systems, a MikroTik CRS804 high-speed compute switch, a MikroTik CRS312 10GbE in-band management switch, and the required compute and management network cables.<\/p>\n

              The DGX Spark 8-Node AI Cluster combines eight Grace Blackwell systems through a switch-based high-speed network architecture. Each node is connected to the 200GbE compute network via NVIDIA ConnectX-7, while a separate 10GbE Ethernet network is used for system management and standard network traffic.<\/p>\n

              The compute network supports RoCEv2-based RDMA communication, enabling high-bandwidth data transfer between nodes for NCCL and distributed AI workloads. This keeps AI communication isolated from internet and management traffic.<\/p>\n

              In OpenZeka’s tests, large language models from the Gemma, Qwen3.6, and GLM-5.2 model families were run on this eight-node cluster. The tested models include Gemma-4-31B-it-NVFP4, Qwen3.6-27B-NVFP4, and GLM-5.2-NVFP4.<\/p>\n","protected":false},"featured_media":9054,"template":"","meta":[],"pwb-brand":[],"product_brand":[],"product_cat":[1689],"product_tag":[1994,1762,1687,1716],"class_list":{"0":"post-9043","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-dgx-systems","7":"product_tag-8-node-ai-cluster","8":"product_tag-ai-server","9":"product_tag-dgx-spark","10":"product_tag-llm","11":"pa_cpu-20-core-arm-10-cortex-x925-10-cortex-a725-arm","13":"first","14":"instock","15":"shipping-taxable","16":"product-type-simple"},"yoast_head":"\nNVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE - OpenZeka | NVIDIA Embedded Distributor<\/title>\n<meta name=\"description\" content=\"The NVIDIA DGX Spark Quad AI Cluster is a compact and scalable AI cluster that integrates four NVIDIA DGX Spark systems through a high-speed, switch-based network architecture.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE\" \/>\n<meta property=\"og:description\" content=\"The NVIDIA DGX Spark Quad AI Cluster is a compact and scalable AI cluster that integrates four NVIDIA DGX Spark systems through a high-speed, switch-based network architecture.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/\" \/>\n<meta property=\"og:site_name\" content=\"OpenZeka | NVIDIA Embedded Distributor\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/openzeka\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-13T13:58:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2026\/08\/8spark.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"1200\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@openzeka\" \/>\n<meta name=\"twitter:label1\" content=\"Price\" \/>\n\t<meta name=\"twitter:data1\" content=\"\" \/>\n\t<meta name=\"twitter:label2\" content=\"Availability\" \/>\n\t<meta name=\"twitter:data2\" content=\"In stock\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/\",\"url\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/\",\"name\":\"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE - OpenZeka | NVIDIA Embedded Distributor\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/openzeka.com\\\/en\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/8spark.png\",\"datePublished\":\"2026-08-13T12:46:47+00:00\",\"dateModified\":\"2026-08-13T13:58:43+00:00\",\"description\":\"The NVIDIA DGX Spark Quad AI Cluster is a compact and scalable AI cluster that integrates four NVIDIA DGX Spark systems through a high-speed, switch-based network architecture.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/#primaryimage\",\"url\":\"https:\\\/\\\/openzeka.com\\\/en\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/8spark.png\",\"contentUrl\":\"https:\\\/\\\/openzeka.com\\\/en\\\/wp-content\\\/uploads\\\/2026\\\/08\\\/8spark.png\",\"width\":1200,\"height\":1200},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/openzeka.com\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Catalog\",\"item\":\"https:\\\/\\\/openzeka.com\\\/en\\\/catalog\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/openzeka.com\\\/en\\\/\",\"name\":\"OpenZeka | NVIDIA Embedded Distributor\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/openzeka.com\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/#organization\",\"name\":\"OpenZeka | NVIDIA Embedded Distributor\",\"url\":\"https:\\\/\\\/openzeka.com\\\/en\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/openzeka.com\\\/en\\\/wp-content\\\/uploads\\\/2024\\\/12\\\/openzeka-logo-new.png\",\"contentUrl\":\"https:\\\/\\\/openzeka.com\\\/en\\\/wp-content\\\/uploads\\\/2024\\\/12\\\/openzeka-logo-new.png\",\"width\":1356,\"height\":131,\"caption\":\"OpenZeka | NVIDIA Embedded Distributor\"},\"image\":{\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/openzeka\",\"https:\\\/\\\/x.com\\\/openzeka\",\"https:\\\/\\\/tr.linkedin.com\\\/company\\\/openzeka\",\"https:\\\/\\\/www.youtube.com\\\/openzeka\",\"https:\\\/\\\/www.instagram.com\\\/openzeka\\\/\",\"https:\\\/\\\/www.tiktok.com\\\/@openzeka\"]}]}<\/script>\n<meta property=\"product:price:currency\" content=\"USD\" \/>\n<meta property=\"og:availability\" content=\"instock\" \/>\n<meta property=\"product:availability\" content=\"instock\" \/>\n<meta property=\"product:retailer_item_id\" content=\"DGXSPARK-QUAD-8\" \/>\n<meta property=\"product:condition\" content=\"new\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE - OpenZeka | NVIDIA Embedded Distributor","description":"The NVIDIA DGX Spark Quad AI Cluster is a compact and scalable AI cluster that integrates four NVIDIA DGX Spark systems through a high-speed, switch-based network architecture.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/","og_locale":"en_US","og_type":"article","og_title":"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE","og_description":"The NVIDIA DGX Spark Quad AI Cluster is a compact and scalable AI cluster that integrates four NVIDIA DGX Spark systems through a high-speed, switch-based network architecture.","og_url":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/","og_site_name":"OpenZeka | NVIDIA Embedded Distributor","article_publisher":"https:\/\/www.facebook.com\/openzeka","article_modified_time":"2026-08-13T13:58:43+00:00","og_image":[{"width":1200,"height":1200,"url":"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2026\/08\/8spark.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_site":"@openzeka","twitter_misc":{"Price":"","Availability":"In stock"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/","url":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/","name":"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE - OpenZeka | NVIDIA Embedded Distributor","isPartOf":{"@id":"https:\/\/openzeka.com\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/#primaryimage"},"image":{"@id":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/#primaryimage"},"thumbnailUrl":"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2026\/08\/8spark.png","datePublished":"2026-08-13T12:46:47+00:00","dateModified":"2026-08-13T13:58:43+00:00","description":"The NVIDIA DGX Spark Quad AI Cluster is a compact and scalable AI cluster that integrates four NVIDIA DGX Spark systems through a high-speed, switch-based network architecture.","breadcrumb":{"@id":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/#primaryimage","url":"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2026\/08\/8spark.png","contentUrl":"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2026\/08\/8spark.png","width":1200,"height":1200},{"@type":"BreadcrumbList","@id":"https:\/\/openzeka.com\/en\/product\/nvidia-dgx-spark-8-node-ai-cluster-8-node-1tb-200gbe\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/openzeka.com\/en\/"},{"@type":"ListItem","position":2,"name":"Catalog","item":"https:\/\/openzeka.com\/en\/catalog\/"},{"@type":"ListItem","position":3,"name":"NVIDIA DGX Spark 8 Node AI Cluster \u2013 8 Node, 1TB, 200GbE"}]},{"@type":"WebSite","@id":"https:\/\/openzeka.com\/en\/#website","url":"https:\/\/openzeka.com\/en\/","name":"OpenZeka | NVIDIA Embedded Distributor","description":"","publisher":{"@id":"https:\/\/openzeka.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/openzeka.com\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/openzeka.com\/en\/#organization","name":"OpenZeka | NVIDIA Embedded Distributor","url":"https:\/\/openzeka.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/openzeka.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2024\/12\/openzeka-logo-new.png","contentUrl":"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2024\/12\/openzeka-logo-new.png","width":1356,"height":131,"caption":"OpenZeka | NVIDIA Embedded Distributor"},"image":{"@id":"https:\/\/openzeka.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/openzeka","https:\/\/x.com\/openzeka","https:\/\/tr.linkedin.com\/company\/openzeka","https:\/\/www.youtube.com\/openzeka","https:\/\/www.instagram.com\/openzeka\/","https:\/\/www.tiktok.com\/@openzeka"]}]},"product_price_currency":"USD","og_availability":"instock","product_availability":"instock","product_retailer_item_id":"DGXSPARK-QUAD-8","product_condition":"new"},"brands":[],"_links":{"self":[{"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/product\/9043","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/media\/9054"}],"wp:attachment":[{"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/media?parent=9043"}],"wp:term":[{"taxonomy":"pwb-brand","embeddable":true,"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/pwb-brand?post=9043"},{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/product_brand?post=9043"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/product_cat?post=9043"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/openzeka.com\/en\/wp-json\/wp\/v2\/product_tag?post=9043"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}