ADLINK DLAP x86 for Edge AI
As a GPU-based deep learning acceleration platform,
Accelerate compute-intensive AI inference and learning


ADLINK Technology launched the 'DLAP x86 series', a GPU-based deep learning acceleration platform, on the 2nd. The DLAP x86 series is optimized to deliver AI performance to a wide range of industry applications by accelerating compute-intensive and memory-intensive AI inference and deep learning tasks at the edge, where data is generated and action is taken.

“The DLAP x86 series is designed for large-scale, multi-layer networks and complex datasets,” said Zane Tsai, director of ADLINK’s Embedded Platform and Module Product Center. “Deep learning application designers can choose the optimal combination of CPUs and GPUs based on the application’s neural network and AI inference speed to achieve high performance for the cost.”

The DLAP x86 series, based on the Intel® CPU and NVIDIA Turing™ GPU architecture, provides higher GPU acceleration computation than other products and provides performance optimized in terms of power and cost.

The smallest model measures 3.2L, making it ideal for devices with limited physical space. It maintains heat dissipation of up to 50°C/240W and withstands vibration (up to 2 Grms) and shock (up to 30 Grms), ensuring stability. This can enhance the SWaP/AI performance of field systems in the medical, manufacturing, and transportation sectors.