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- 分類: Telecommunication
As telecom networks evolve toward 5G Advanced and early 6G architectures, cell sites are no longer just radio access points—they are becoming distributed compute nodes. The AI Grid for Telco Cell Sites enables telecom service providers to deploy AI processing services directly at the network edge, transforming cell sites, metro aggregation points, and MEC locations into AI-ready infrastructure capable of supporting a wide range of low-latency, secure, and sovereign AI workloads.
閱讀全文: AI Grid for Telco Cell Sites: Turning the Network Edge into AI-Ready Infrastructure
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- 分類: Power and Energy
Modern substations are under growing pressure to support more intelligence, tighter security, and faster response times—often within the same physical footprint. Traditional architectures, built around single-purpose devices for protection, control, and monitoring, make it difficult to scale, update, or integrate new capabilities without adding complexity.
閱讀全文: Virtualizing Substation Workloads to Simplify Digital Grid Operations
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- 分類: Edge AI
For decades, traditional computer vision systems have been highly effective at answering “what” is present in an image—detecting objects such as vehicles, people, or defects. However, these systems lack the cognitive capability to interpret context, explain why observed details matter, or reason about what actions should follow.
閱讀全文: ECA-6050: Deploying Agentic AI with VLM Reasoning at the Edge
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- 分類: Telecommunication
Telecommunications networks are undergoing rapid transformation driven by artificial intelligence (AI) and edge computing. Operators are moving beyond traditional infrastructure and integrating AI capabilities directly into Radio Access Networks (RAN), enabling real-time optimization, self-organizing functions, and enhanced network performance.
閱讀全文: Advancing Next-Gen AI-RAN Using Lanner ECA-6710 ARC-Compact Computer
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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.
閱讀全文: Powering the Next Generation: Rugged AI Compute Enables Autonomous Excavation
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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.
閱讀全文: Edge AI Platform to Power In-Store Offline AI Concierge with Local SLM + RAG
Edge AI Server Powering the Manufacturing LLM Agent with Secure, Private, and Real-Time Intelligence
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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.







