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分類: Edge AI

The heavy equipment industry is rapidly transitioning toward full autonomy to enhance safety, improve operational efficiency, and reduce costs across construction, mining, and quarry sites. Central to this revolution is the ability to deploy powerful, server-grade Artificial Intelligence (AI) inference capabilities directly onto machines operating in the world's most demanding environments. The ruggedized excavator, a workhorse of modern infrastructure, is the perfect beneficiary of this technological leap, driven by a new class of purpose-built AI compute expansion modules.

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分類: Edge AI

Retailers need smarter, faster, and more natural in-store engagement. An offline AI concierge delivers human-like conversation, real-time product knowledge, and instant responses—reducing latency, cutting costs, and protecting customer privacy.

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分類: Edge AI

In today’s fast-evolving Smart Manufacturing landscape, the fusion of AI, private 5G, and edge computing is unlocking a new level of operational intelligence. At the core of this shift is the Manufacturing LLM Agent — a secure, domain-specific language model running at the edge and powered by real-time data from fully connected factory operations.

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分類: Network Computing

The landscape of cyber threats is evolving rapidly, with sophisticated attacks, such as zero-day exploits, increasingly bypassing traditional signature-based network security defenses. To combat this, network security providers are integrating AI and machine learning into their solutions. This shift requires a new generation of high-performance, purpose-built network appliances capable of running complex AI inference models in real-time in order to perform deep packet inspection, behavioral analysis and automated threat response.

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分類: Telecommunication

In dense metropolitan, cellular traffic fluctuates rapidly due to dynamic user behavior — from rush-hour congestion to large public events. Traditional RAN configurations, often static and manually tuned, cannot adapt in real time to these shifting conditions. Operators need an intelligent, edge-based solution that can autonomously predict traffic surges, rebalance network resources, and maintain low-latency connectivity while minimizing energy consumption.

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分類: Power and Energy

Modern electrical grids are under pressure to maintain stability and efficiency while absorbing increasing amounts of renewable energy (solar, wind, etc.). Utilities need to modernize their substations and edge installations so they can handle bidirectional flows, real-time control, and interoperability among legacy and new equipment.

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分類: Network Computing

Today’s cyber adversaries no longer need advanced expertise to carry out attacks. Although highly skilled attackers have historically achieved greater success, modern technology, the widespread availability of sophisticated tools, and reduced costs have lowered the barrier to entry. Even less experienced actors can now exploit these resources to devise new and effective methods of breaching user accounts, penetrating infrastructure, moving laterally within networks, and extracting sensitive data—often within hours rather than days.

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