The Artificial Intelligence (AI) technology can be found in many advanced applications such as machine learning, autonomous driving, intelligent video analytics, facial image and speech recognition with deep-learning breakthroughs. As GPUs are naturally great at parallel workloads, they can speed up the AI learning process dramatically.

Neousys provides rugged and scalable computing platforms supporting various NVIDIA® GPU graphics cards that works as GPU-aided edge computing platform and can benefit the development/implementation of related applications. (read more)

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Product Highlights

Shock/ vibration proof

With patented damping bracket to absorb vibration, Neousys can deliver extreme reliability and high performance even when the system is installed in autonomous vehicle with continuous vibration.

Wide-temperature operation

Neousys GPU computing platform series features Neousys' effective patented thermal design. The system can operate in ambient environments up to 60°C under 100% loading without the CPU and GPU thermal throttling.

Up to 14 PoE ports for camera

With patented Cassette and MezIO designs, Neousys GPU computing platforms are capable of expanding up to 12 Gigabit Ethernet port for camera connectivity. It also supports optional IEEE 802.3at PoE+ PSE functionality to provide power for PoE cameras.

8th / 9th Gen. Core i (8 Core, 16 Thread) Industrial GPU Computing

	Nuvo-7160GC	Nuvo-7166GC	Nuvo-8208GC	Nuvo-8108GC
Photo
Supported GPU	NVIDIA® 120W GPU	NVIDIA® Tesla T4	Dual NVIDIA® 250W GPU	NVIDIA® 250W GPU
Ethernet	Up to 10	Up to 14	2	2
PCIe Expansion	1	2	Up to 5	Up to 4

Autonomous Driving

Autonomous driving is slowly becoming a reality and Neousys' GPU computing platform can play a major role and contribute significantly to the platform. As the industrial-grade GPU computer with dual 250W NVIDIA® GPU graphics cards, Intel® 9th/8th -Gen Core™ processor, Neousys' patented thermal ventilation design and damping bracket, Neousys’ GPU computing platform can function under wide temperature settings ranging from -25℃ to 60℃ and operate under 5Grms/ 5-500 Hz vibration environment. It also accepts a wider range of power inputs from 8 to 48V DC and is fully tested for 24/7 operation. It is an ideal solution for autonomous driving application (learn more)

Vision Inspection

Install a With Neousys GPU computing solution model installed on athe mobilemoving industrial robot, it will previous the inspection to the large objects covering large land massin the field, onsuch as railway tracks, elevator shafts or andindustrial boilers without ever having to put a worker in harm’s way by sending them into hazardous areas. only can be performed by worker, now these dangerous tasks can be executed by robot controlled remotely by operator, The inspection robot can transmit live all the inspection images inspection result can be available instantly and transmitted back to the control center as the reference for decision maker. The new generation of inspection robots may come with autonomous technology, navigation-guidance or other mobile capabilities to suit environment needs (learn more)

Video surveillance

Neousys GPU computing solutions are compatible with digital or legacy model can upgrade the surveillance systems. from the legacy function, In addition to which only can perform the recording, Neousys GPU computing solution addsto object recognition the capability to your surveillance system of instantly identify the object which the customer wants to recognize. The advanced GPU computing power can allows Neousys GPU computing model to handle the large imaging data captured from the multiple PoE cameras and, the ability anti-vibration and anti-shock characteristics make it possible to be can give the feasibility to installed Neousys model not only in the stationary location, but also moving vehicles such aslike AGV, law enforcement patrol car, etc.

Machine Learning

Capable of Neousys GPU computing model can be used both for deep learning training and inference, program suffice so once the developer put enough sample imaging data to train the convolutional neural network of the , the well-trained network can be put into Neousys GPU computing solution, modelitsand perform the inference capability will serve inspection efficiency to thetask to production line. for the inspection which Its inspection efficiency and accuracy can be higher thanachieve the result the tradition rule-based system hardly can be. This technology can be implemented in various industries, such as food/ beverage packaging, hard disk manufacture, semiconductor and, automotive manufacturing, and etc.