ADLINK and PNY Form Key Partnership on AI Portfolios for Embedded Computing

Strategic partnership will enable customers to automate and innovate by being closer to data with edge AI solutions

ADLINK Technology Inc., a global leader in edge computing, is pleased to announce a key partnership with PNY Technologies. ADLINK’s Edge AI computing platforms will enhance PNY’s portfolio of AI capable GPU offerings enabling customers to automate and innovate by being closer to their data. ADLINK’s Edge AI platforms integrate hardware acceleration for deep learning workloads and provides end-to-end connectivity to generate the actionable intelligence required to achieve operational improvements, boost performance and improve efficiency. In addition to powerful MXM-based GPUs for embedded systems, the partnership also includes offerings based on the NVIDIA Jetson Edge AI platform.

“PNY enables innovative solution providers to develop and deliver powerful AI, HPC, and visualization (graphics) solutions across all key vertical market segments,” said Steven Kaner, PNY’s Senior VP of sales and marketing. “Complementing NVIDIA Quadro PCIe products with ADLINK’s MXM single board supercomputer, and ruggedized systems suitable for the latest AIoT edge deployments, builds on our strengths. All with the world-class support and service demanded by mission-critical deployments.”

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One area of immediate interest is in medical applications. Modern medical practices utilize robotics and automation for standard tasks such as hospital disinfection, delivery of medical resources and care of patients under quarantine. However, productivity can be hindered as systems often operate independently. This is a vital area where ADLINK’s Edge AI platforms can be applied. Communication technologies compatible with Data Distribution Service (DDS) can share data in real-time and carry out collaborative edge computing to decide the best robotic system for a task. This allows the technology to repeatedly recalculate the subsequent schedule and boost the overall efficiency of collaboration. The use of distributed edge computing boosts the quality and stability of the data interface with the medical system to realize a smart data-sharing model for smart medicine – all with the ultimate goal of improving patient outcomes.   

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Distributed AI systems can also realize the infrastructure required for smart cities, including smarter airports (or other types of transportation facilities). Adverse weather conditions such as dense fog or rain often hampers visibility and results in delays and cancellations. Edge technology provides real-time intuitive monitoring and improved visibility at night and during adverse weather.