GPU Embedded Computing

GPU Embedded Computing supporting nVidia® GeForce® GTX 950 / GTX 1050

What is GPU Computing?

A Graphics processing unit (GPU) is also known as a visual processing unit (VPU) that features an electronic circuit designed specifically to accelerate real-time 3D image creation in a frame buffer for display.

GPU-accelerated computing is usually coupled with a CPU to accelerate deep learning, analytics and complex engineering applications. They play an important and major role in accelerating artificial intelligence platform applications such as automotive autopilot functions, drones, and robots.

GPUs are used in embedded systems, mobile devices, workstations, and game consoles. Modern GPUs are extremely efficient at manipulating computer graphics and image processing, and their highly parallel structure makes them more efficient than general-purpose CPUs. A GPU can be embedded on a standalone board (a graphic card), on a motherboard (built-in graphic card) or merged into one chip (on a single die) with a CPU, which is known as an accelerated processing unit (APU).

Neousys GPU Embedded Computing

On September 2016, Neousys Technology announced Nuvo-5095GC, the first wide temperature compact embedded computer based on a GPU-computing platform. The system supports NVIDIA® GeForce® GTX-950/ GTX-1050 and 6th Gen. Intel® Core™ processor and is intended for applications such as Compute Unified Device Architecture (CUDA) computing, automotive autopilot, deep learning and virtual reality.


Neousys GPU Embedded Computing Modules

Nuvo-5095GC

Compact and Wide-Temperature GPU Computing Platform with NVIDIA® GeForce® GTX 950 / GTX 1050 and 6th-Gen Intel® Core™ Processor

Nuvo-6108GC Series

Industrial-grade GPU Computing Platform with 250W NVIDIA® GPU and Intel® Xeon® E3 v5 and 6th-Gen Core™ Processor


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