EdgeAI DataCenter DC300.
Unovie Edge-AI DC200 operates as a far edge gateway with 4G LTE connectivity in numerous sectors such as healthcare, automotive, and industrial fields. It functions as a gateway to connect to Cloud hosted Control plane in AWS/Azure/GCP and connected via Ethernet to other FarEdge Applications in the TPU-Mesh for offloading critical zero-trust, network and security functions
Furthermore, it accommodates comprehensive local private deployment capabilities that cater to AI algorithms with high computing needs including models like Llama3, Gemma2 and Mistral or YOLOv8 object detection models.
The system is fully controlled through an API from the Cloud Control Plane and smartly integrates with other Edge Gateways for shared Tensor Processing Unit (TPU) resource utilization.
Platform Capabilities
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Modern and loosely coupled microservices architecture that is hardware and operating system agnostic
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Advanced integration with multiple OT device protocols including Modbus, BACnet, MQTT, OPC UA, BLE, Zigbee, EtherCAT, PROFINET and many more, with a Device SDK to create further connectors
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Integration with multiple IT and Cloud systems including AWS, Google Cloud IoT, Microsoft Azure, IBM Watson IoT and more, with an Application SDK to create your own
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Provision of edge analytics, decision making, control and visualization with standard APIs and the capability to easily integrate more Critical security features to preserve the safe running of the platform
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Advanced system tooling to fast-track the development, testing, deployment and administration of the platform
Edge Intelligence
EdgeAI DC300 has enough NPU computing power which can stacked up incrementally to support LLM and GPT Models Industry 4.0 usecases.
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Making machines smarter: Predicting failures, optimizing processes, and improving quality control through data analysis.
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Simplifying human-machine interaction: Using natural language for easier control and training.
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Unlocking data insights: Extracting valuable information from vast amounts of data for better decision-making.
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Streamlining supply chains: Predicting demand, managing suppliers, and improving efficiency.
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Boosting security and compliance: Automating documentation and detecting threats.