{"id":8855,"date":"2026-07-27T10:49:35","date_gmt":"2026-07-27T10:49:35","guid":{"rendered":"https:\/\/openzeka.com\/en\/?page_id=8855"},"modified":"2026-07-27T11:26:21","modified_gmt":"2026-07-27T11:26:21","slug":"nvidia-dgx-spark-quad-ai-cluster","status":"publish","type":"page","link":"https:\/\/openzeka.com\/en\/nvidia-dgx-spark-quad-ai-cluster\/","title":{"rendered":"NVIDIA DGX Spark Quad AI Cluster"},"content":{"rendered":"

NVIDIA DGX Spark <\/strong>Quad AI Cluster<\/strong><\/h2><\/div>

Professional four-node AI infrastructure designed for distributed inference, large language models (LLMs), and high-speed AI communication, featuring a 200GbE RoCEv2 compute network.<\/p>\n

\n<\/div>

Buy Now<\/span><\/a><\/div><\/div><\/div><\/div><\/div>

NVIDIA DGX Spark Quad AI Cluster<\/strong><\/h2><\/div>

Professional four-node AI infrastructure designed for distributed inference, large language models (LLMs), and high-speed AI communication, featuring a 200GbE RoCEv2 compute network.<\/p>\n

\n<\/div>

Buy Now<\/span><\/a><\/div><\/div><\/div><\/div><\/div>

The DGX Spark Quad AI Cluster combines four Grace Blackwell systems through a switch-based high-speed networking architecture. Each node is connected to a dedicated 200GbE compute network via NVIDIA ConnectX-7, while a separate 10GbE Ethernet network handles system management and standard network traffic. The compute network supports RoCEv2-based RDMA communication, enabling high-bandwidth, low-latency data transfer between nodes for NCCL and distributed AI workloads. This architecture isolates AI communication from internet and management traffic, ensuring maximum performance and network efficiency.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

The DGX Spark Quad AI Cluster combines four Grace Blackwell systems through a switch-based high-speed networking architecture. Each node is connected to a dedicated 200GbE compute network via NVIDIA ConnectX-7, while a separate 10GbE Ethernet network handles system management and standard network traffic. The compute network supports RoCEv2-based RDMA communication, enabling high-bandwidth, low-latency data transfer between nodes for NCCL and distributed AI workloads. This architecture isolates AI communication from internet and management traffic, ensuring maximum performance and network efficiency.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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

Key Features
\n<\/b><\/h3>\n