Industrial computer maker Advantech Co (研華) is eyeing strong growth potential in edge artificial intelligence (AI), as the technology shifts from cloud-centric computing to edge deployment and ...
Customers can extend the life of VxRail systems, cut infrastructure costs by at least 25 percent, and modernize with Scale Computing HyperCore(TM) virtualization suite AUSTIN, Texas, April 21, 2026 ...
Scale Computing™, the leader in edge computing and network solutions, today announced new capabilities and guidance that enable organizations to replace VMware® on Dell VxRail™ systems using Scale ...
One Stop Systems, Inc. (“OSS” or the "Company") (Nasdaq: OSS), a leader in rugged Enterprise Class compute for artificial intelligence (AI), machine learning (ML) and sensor processing at the edge, ...
Against the backdrop of the Chinese government’s 15th Five-Year Plan’s push to transform the national computing infrastructure system from “construction-focused” to “operation and secure and ...
MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
In a futuristic office resembling a space station, Zhao Hongjie, executive vice president of Adaspace Technology Co., Ltd.
The enterprise network equipment market thrives on AI-optimized, cloud-managed infrastructure, favoring software-defined control and scalability. Major opportunities arise from SD-WAN rollouts, Wi-Fi ...
Tech giants are accelerating a move from centralized data centers to edge computing and custom AI chips, driven by the high cost and latency of AI inference. Companies like Google, Meta, Broadcom, and ...
Seagate Technology gains momentum as data demand rises, supported by strong earnings and AI-driven storage growth in evolving ...
A report by Yan Zhiyong, a researcher at China Telecom Cloud Technology Co., Ltd., presented at a forum during the 2026 Space Day of China on Friday, confirmed the deep-seated problems faced by ground ...
Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.
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