{"title":"Edge AI Nodes","description":"\u003ch2\u003eIntelligence Doesn't Always Live in the Cloud\u003c\/h2\u003e\n\n\u003cp\u003eThere's a moment in every AI deployment when the team realizes: \u003cem\u003ewe can't keep sending everything to the cloud.\u003c\/em\u003e Latency is too high. Bandwidth costs are unsustainable. Data sovereignty requirements are tightening. The model needs to run \u003cstrong\u003ehere\u003c\/strong\u003e — in the facility, at the edge of the network, close to where the data is generated and the decision needs to be made.\u003c\/p\u003e\n\n\u003cp\u003eEdge AI Nodes are the answer to that moment. Compact, ruggedized, power-efficient compute platforms designed to run AI inference workloads in environments where a full data center rack isn't an option — but performance still matters. DVUN's edge AI node lineup covers the full range of edge deployment scenarios: from small form factor inference appliances for office or lab environments, to hardened industrial nodes for factory floors and remote facilities.\u003c\/p\u003e\n\n\u003ch3\u003eSix Reasons to Deploy at the Edge with DVUN\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSub-10ms Inference Latency:\u003c\/strong\u003e When your application can't afford a round-trip to the cloud, local inference changes everything. Edge nodes deliver real-time response where it counts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Form Factors:\u003c\/strong\u003e Mini-ITX to short-depth 1U rack configurations that fit in network closets, equipment rooms, and non-standard spaces.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLow Power Envelopes:\u003c\/strong\u003e Designed for environments without dedicated power infrastructure — most nodes operate within standard 15A circuit limits.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Temperature Range:\u003c\/strong\u003e Select models rated for 0–50°C or wider operating ranges for non-climate-controlled environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFramework-Ready:\u003c\/strong\u003e Pre-validated with ONNX Runtime, TensorRT, OpenVINO, and other edge inference frameworks out of the box.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSecure Local Processing:\u003c\/strong\u003e Keep sensitive data on-premise. No data leaves the facility — critical for healthcare, finance, and defense-adjacent applications.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTwo Scenarios Where Edge Nodes Change the Game\u003c\/h3\u003e\n\n\u003cp\u003e\u003cstrong\u003eThe Manufacturing Quality Control Line:\u003c\/strong\u003e A robotics team needs to run real-time visual inspection inference on a production line. Cloud latency is 80ms — too slow for the conveyor speed. A DVUN edge AI node mounted in the line's control cabinet runs the vision model locally at under 8ms, with no internet dependency and no data leaving the facility. Explore our \u003ca href=\"\/collections\/accelerator-cards\"\u003eAccelerator Cards\u003c\/a\u003e for add-in GPU options to boost edge inference throughput.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eThe Distributed Inference Network:\u003c\/strong\u003e A private AI cloud builder needs to deploy inference capacity across 12 regional locations without building full data center infrastructure at each site. DVUN edge nodes provide a standardized, remotely manageable inference platform that can be shipped, racked, and activated at each location within days. See our \u003ca href=\"\/collections\/ready-systems\"\u003eReady Systems\u003c\/a\u003e for pre-configured multi-site deployment kits.\u003c\/p\u003e\n\n\u003ch3\u003eTechnical Specifications Overview\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eForm factors: Mini-ITX, NUC-style, short-depth 1U rack, DIN-rail mount\u003c\/li\u003e\n\u003cli\u003eAccelerator options: integrated GPU, PCIe add-in card slots, NPU modules\u003c\/li\u003e\n\u003cli\u003eMemory: 16GB to 128GB DDR5 configurations\u003c\/li\u003e\n\u003cli\u003eStorage: NVMe M.2 and 2.5\" SATA options, up to 8TB local storage\u003c\/li\u003e\n\u003cli\u003eConnectivity: 2.5GbE to 10GbE, Wi-Fi 6E on select models, optional 5G\u003c\/li\u003e\n\u003cli\u003ePower: 65W to 350W TDP range depending on configuration\u003c\/li\u003e\n\u003cli\u003eManagement: Remote KVM, IPMI, and cloud-managed options available\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eDeploy Closer. Respond Faster.\u003c\/h3\u003e\n\u003cp\u003eThe edge is where AI becomes real — where models stop being experiments and start being infrastructure. DVUN's edge AI node collection is built for teams ready to make that transition. \u003ca href=\"\/pages\/request-a-quote\"\u003eRequest a quote\u003c\/a\u003e for multi-site deployments or bulk orders, and let our team help you design an edge architecture that scales.\u003c\/p\u003e","products":[],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0671\/0525\/9582\/collections\/edge-ai-nodes.png?v=1782104060","url":"https:\/\/dvun.com\/collections\/edge-ai-nodes.oembed","provider":"DVUN","version":"1.0","type":"link"}