AEWIN Partners with Blaize to Deliver High Performance GSP Computing for Edge AI Applications

Blaize, the AI computing innovator revolutionizing edge and automotive computing solutions, announced that AEWIN Technologies, Taiwan, is offering its platform of Multi-Access Edge Computing network appliances, SCB-1932, with the Blaize Xplorer X1600P-Q PCIe accelerator for Edge AI computing.

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“Easily programmable with the Blaize Picasso SDK and AI Studio software, the X1600P-Q PCIe software-defined accelerator runs efficiently in a complete streaming fashion, critical to providing secure and reliable systems to the Global marketplace.”

“AEWIN’s collaboration with Blaize enables us to fulfill the demands of real-time traffic inference/analysis to accomplish AI applications at edge efficiently,” said Charles Lin, Chief Executive Officer at AEWIN. “As the global MEC markets continue to grow by leaps and bounds, AEWIN-Blaize Edge server with utmost performance and efficiency is our response for this demand.”

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AEWIN SCB-1932C server harnesses the Blaize Graph Streaming Processor® (GSP®)-based Xplorer AI accelerator platform utilizing the Blaize AI Software Suite to deliver outstanding AI performance with higher system reliability, lower power consumption, and faster time-to-market.

“We are pleased to partner with AEWIN Technologies and provide a customizable solution for smart city utilizations in traffic management, pedestrian safety, and multi-object detection,” said Dinakar Munagala, Co-founder and CEO, of Blaize. “Easily programmable with the Blaize Picasso SDK and AI Studio software, the X1600P-Q PCIe software-defined accelerator runs efficiently in a complete streaming fashion, critical to providing secure and reliable systems to the Global marketplace.”

The Blaize® Xplorer X1600P-Q PCIe accelerator is designed for edge and enterprise AI inference applications enabling industrial PCs, servers, and other products to easily integrate AI inference. With low power, low latency, and more efficient memory use, the X1600P-Q can be used for computer vision applications and new AI inferencing solutions across a range of edge smart vision use cases.

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