ADLINK Launches NVIDIA Turing‑Architecture Graphics Modules to Expand Edge AI Market
#Industry information ·2022-09-02 11:40:58
Taipei, May 11 — ADLINK announced the launch of its first‑ever graphics modules built on the NVIDIA Turing architecture. The modules accelerate edge AI inference operations and are well‑suited for applications with strict size, weight and power (SWaP) constraints. According to ADLINK, edge applications frequently face SWaP limitations, so GPUs are being adopted in a growing number of edge deployments to deliver the computational performance required for AI inference.
Embedded MXM graphics modules deliver robust computing performance to convert edge‑sourced data into actionable intelligence. Built to an industry‑standard form factor, they meet the requirements of system integrators, independent software vendors (ISVs) and OEMs, delivering a new computing option for applications that demand a balance between performance and power consumption.
Tsai Yu‑Li, Associate Director of Platform Product Center, Embedded Platforms & Modules Business Unit at ADLINK, commented that edge applications face ever‑growing demand for computing performance, and embedded MXM graphics modules serve as an excellent solution that balances SWaP constraints. Powered by NVIDIA GPUs with the Turing architecture, ADLINK customers can leverage ruggedized modules to boost edge‑computing performance in any operating environment while complying with SWaP‑related environmental limits.
According to ADLINK, its embedded MXM graphics modules accelerate AI processing for numerous compute‑intensive edge applications, especially under harsh environmental conditions such as poorly‑ventilated, sealed or corrosive surroundings. Target use‑cases include medical imaging, industrial automation, biometric access control, autonomous mobile robots, transportation, aerospace and defense. As edge‑AI applications gain wider adoption, demand for high‑performance, low‑power GPU modules continues to rise.