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As the world becomes increasingly more connected, the demand for real-time data processing and analysis has skyrocketed. Rugged Edge AI is the combination of Rugged Edge Computing and Artificial Intelligence, two rapidly emerging technologies that are digitally transforming the way we process and analyze data. Together they form a powerful ecosystem that works together to meet the demand for real-time data processing and analytics.
Edge AI brings the power of AI to the edge, enabling real-time data processing, reduced latency, and enhanced security
Edge computer vision allows edge devices like industrial-grade computers to analyze visual data locally to provide immediate insights and action.
The combination of edge computing and AI provides significant opportunities to survive in an increasingly disruptive world ... edge computing and AI can raise innovation capabilities, operational excellence and customer engagement.
Gartner
Rugged Edge AI is the application of artificial intelligence models in edge computers that allow them to make intelligent decisions, eliminating long data travel distances. Together with cloud computing, these models are trained then deployed into edge devices to run in real-time.
Rugged Edge Computing forms a symbiotic relationship with cloud computing, working together to create an ecosystem that provides efficiency in data processing and analytics for businesses to scale their productivity.
Constrained Edge
End User Edge
Distributed Edge
Data Center Edge Cloud
The Rugged Edge Survival Guide: From the Near Edge to the Far
As edge deployments are rising, the distribution of computing resources from the cloud to the edge is becoming wider. Key macro trends play an important role in giving enterprises flexibility and control in how they scale their edge to cloud deployments.
Varying principles and degrees in which the edge and cloud come together.
Through open-source APIs, shared technologies help drive standardization
Expanding practices for organizations to enable operations in IoT solutions.
Open-source OS allowing for further standardization and interoperability.
Endless growth in AI solutions calls for measures and standards in security and trust to protect from cybersecurity attacks.
Rugged edge computers are built with enhanced durability and ruggedized features that are specifically engineered to withstand volatile environments to perform mission-critical workloads without failing. Premio’s industrial grade designs bring key technologies together with scalable and modular solutions to provide enhanced reliability and expandability that help enable rugged edge AI.
AI forms the foundation of rugged edge AI, allowing edge devices to analyze vast amounts of data in real-time and make intelligent, autonomous decisions. Combined with performance accelerators, AI algorithms can use inference to tackle complex tasks in predictive analytics and data processing, making it invaluable in rugged edge AI deployments.
Dense storage capacity allows for data storage, collection, and ease of transfer to the cloud. By leveraging cloud storage, edge devices can offload processing tasks, optimize storage capacity, and facilitate collaboration and integration with other systems
5G connectivity delivers high-speed wireless communication to reduce latency and bandwidth for data telemetry. 5G enables real-time transfer between the edge and the cloud and empowers applications where immediate responses and data transmission are critical.
Rich I/O interfaces with plug and play modularity for robust and reliable IoT sensor connectivity. Enabling the interconnectivity and communication between devices and systems, IoT devices gather and share data, allowing rugged edge AI to monitor, control, and optimize operations.
Premio is part of Intel’s Parner Alliance Program that provides special access to semiconductor silicon solutions and powerful processing technology. As Titanium members Premio designs and manufacture system level computing solutions from the edge to the cloud.
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Premio is part of NVIDIA Partner Network that provides in-depth knowledge into the latest technologies powering machine learning and artificial intelligence. Our rugged edge computing solutions are validated to support enterprise performance acceleration cards (GPUs) from NVIDIA’s portfolio of compute, virtualization, and visualization products.
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Premio’s edge computers are certified to run AWS IoT Greengrass for developers requiring a less centralized processing platform for their IoT network. AWS IoT Greengrass empowers edge computers to act locally on the data they collect and generate.
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Premio is part of Hailo’s hardware partner ecosystem that enables technology leaders to bring advanced deep learning capabilities to a variety of edge computers with domain-specific performance acceleration.
