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Edge computing brings the power of AI directly to those devices, processing captured data at the point of capture rather than in the cloud or data centre.
This speeds up the AI pipeline, which will be used to power real-time decision-making and software-defined autonomous machines.Edge computing is a new computing paradigm that refers to a variety of networks and devices located at or near the user.
Edge computing is about processing data closer to where it is generated, allowing for faster and larger processing speeds and volumes, resulting in more actionable results in real time.
Edge computing is a local source of processing and storage for IoT device data and computing needs, reducing communication latency between IoT devices and the central IT networks to which they are connected.
The Global GPU Edge Computer market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Advantech Launches NVIDIA T4 GPU Edge Computing Solution for Industrial Applications Advantech, a leading provider of intelligent systems, is pleased to announce the availability of its GPU edge computing solution with NVIDIA T4 GPU NVQual Validation: the MIC-770 compact industrial computer with a MIC-75M20-B expansion i-Module.
The GPU edge computing solution, which is compatible with the NVIDIA® T4 GPU Card, supports up to 2,560 CUDA cores and 16GB GDDR6 GPU memory.
It is an excellent AIoT solution for deep learning and inference applications such as factory automation, automated optical inspection (AOI), AI prediction in medical equipment, and smart sensing in autonomous vehicles, thanks to its compact size (127 x 192 x 230 mm) and a high-scalable design, as well as the longevity of the Tesla T4 GPU card.
The solution, which includes a dedicated server-grade air duct design that allows for improved thermal management of the Tesla T4 GPU, keeps the GPU IC operating temperature below 80 °C/176 °F in environmental conditions above 40 °C/104 °F.
This design reduces operating temperature significantly, resulting in superior GPU performance and clock frequency.
The edge solution, which is equipped with PCIe Gen3 x16, has been certified by NVQual for fast, wide-ranging bandwidth and a dependable data processing solution.
