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Edge AI

Supplementing Cloud Computing

While cloud computing has introduced significant benefits to consumers and enterprises, edge computing now becomes an emerging technology for businesses to increase automation and thus improve processes, efficiency, and safety. With cloud computing and edge computing worked hand in hand, IT professionals can build an end-to-end computing solution to distribute workloads across a network. Edge nodes usually take care of lightweight inferencing tasks, while cloud nodes are in charge of heavyweight training tasks, plus a super-speed link connecting the two clusters, like a 5G network.

The recent booming of edge computing is resulted from maturity of neural networks, advancement in compute infrastructure, and widespread adoption of IoT devices. In many cases, businesses use edge computing to improve the response times of their remote IoT devices and to get richer, more timely insights from device data. Edge computing makes real-time computing possible in locations where it would not normally be feasible and reduces bottlenecking on the networks and cloud datacenters that support edge devices.

Edge computing is the catalyst for AI. With edge computing coming to play, edge AI has evolved to be the next natural phase of edge computing so businesses can utilize the data computed at an edge to develop intelligence on top. Bringing AI to the edge expands the number of ways businesses can gain value from AI because it allows data to be acted upon when it’s still valuable, as it’s being produced, in real-time.

Advances in recent edge AI technology have opened opportunities for machines and devices, wherever they may be, to operate with the “intelligence” of human cognition. AI-enabled smart applications learn to perform similar tasks under different circumstances, much like real life.

Collabarate With NVIDIA®

NVIDIA Partner Badge

AIMobile has developed the AIM-Edge Product series with the NVIDIA® Jetson™ Platform. This series reflects AIMobile’s deepening relationship with NVIDIA® since the company began strategically transforming GPU computing power to fuel the engine required for deep neural networks development and deployment, learning and recognizing patterns from massive amounts of data.

AIMobile's collaboration with NVIDIA® represents a big step toward delivering Edge AI in manufacturing, transportation and smart city applications, driving innovative transformations across multiple industries.

Benefits of edge AI

Streamline Operations

Shorten Response Times

Provide Greater Productivity

Enable Functionality in Great Distant Locations

Deliver Real-time Insights

Elevate Security Level

Improve Workplace Safety

Reduce IT Costs

Streamline Operations

Edge AI helps businesses streamline their day-to-day operations by rapidly processing large amounts of data at or near the local sites where the data is collected. This is more optimized than sending all of the collected data to a centralized cloud datacenter several time zones apart, which would cause excessive network delays and performance issues.

Product List

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AIM-Edge psox

Artificial Intelligence(AI) Edge Inference System based on NVIDIA Jetson Orin NX

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AIM-Edge pson

Artificial Intelligence(AI) Edge Inference System based on NVIDIA Jetson Orin Nano

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AIM-Edge ncon

Artificial Intelligence(AI) Edge Inference System based on NVIDIA Jetson Orin Nano

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AIM-Edge ucon

Artificial Intelligence(AI) Edge Inference System based on NVIDIA Jetson Orin Nano

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AIM-Edge aioox

Artificial Intelligence(AI) Edge Inference System based on NVIDIA Jetson TX2/ Xavier NX/Orin NX by optional

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AIM-Edge ncox

Artificial Intelligence(AI) Edge Inference System based on NVIDIA Jetson Orin NX

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