Eagle-Lanner tech blog
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- 作者 Super User
In an era defined by automation, connectivity, and real-time decision-making, robotics is taking a major leap forward through the convergence of AI and edge computing. A key driver of this transformation is NVIDIA Jetson Thor, a next-generation platform delivering unprecedented compute density for Robotics AI at the edge.
閱讀全文: How NVIDIA Jetson Thor Unlocks True Autonomy with Robotics AI
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Using a Surge Protection Box (SPD) in networking is a critical measure for maintaining system stability, extending equipment lifespan, and ensuring continuous operation in mission-critical environments. These devices provide an essential line of defense by preventing catastrophic failure from large power surges, which can instantly destroy sensitive hardware like motherboards and NICs, essentially acting as sacrificial components.
閱讀全文: Integrating Surge Protection to Safeguard 24/7 Network Availability
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- 作者 Super User
In today’s fast-paced AI landscape, edge computers play a critical role in powering applications ranging from smart cities and retail analytics to industrial automation and network security. These systems often operate in remote or distributed locations where physical access is limited, making Over-the-Air (OTA) updates an indispensable tool for maintaining performance, reliability, and security.
閱讀全文: The Critical Role of OTA Updates in Managing Edge AI Deployments
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AI workloads are becoming more diverse, from video language models (VLMs) running on compact systems to large language models (LLMs) requiring high-performance multi-GPU servers. To meet these varied needs, organizations require flexible and scalable hardware. Lanner delivers a comprehensive lineup of workstations and GPU servers, supporting GPUs from NVIDIA, AMD, Intel, and Qualcomm, designed to handle inference, training, and generative AI workloads efficiently.
閱讀全文: Powering AI Innovation with GPU-Ready Workstations and Servers
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- 作者 Super User
Artificial Intelligence (AI) has already transformed how we process data, make predictions, and automate decisions. But as powerful as digital AI is, it has mostly lived inside the cloud, software platforms, or back-end systems. The next great leap is Physical AI—the embodiment of intelligence in machines that can sense, move, and interact with the physical world in real time. For enterprises, especially in manufacturing, logistics, and infrastructure, Physical AI is becoming a strategic driver for automation, efficiency, and resilience.
閱讀全文: The Rise of Physical AI: Real-Time Intelligence for Robots and Autonomous Vehicles
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- 作者 Super User
Firmware operates at the deepest level of a computing platform—initializing hardware, launching the OS, and forming the foundation of system trust. Unfortunately, this also makes it a high-value target for cyber attackers. Threats like rootkits, supply chain tampering, or unauthorized firmware updates can compromise an entire system before software defenses even come online.
閱讀全文: Securing the Edge: Platform Firmware Resilience (PFR) Essential Role
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- 作者 Super User
NVIDIA AI Aerial is a comprehensive, software-defined platform that fundamentally changes how communication service providers (CSPs) deploy and manage their networks. It's a transformative force because it uniquely unifies demanding AI and radio access network (RAN) workloads onto a single, accelerated GPU-powered infrastructure, enabling CSPs to maximize resource utilization, reduce operational overhead, and deliver scalable performance for both current 5G deployments and future 6G evolution. This innovative, cloud-native architecture streamlines the deployment and management of AI-enabled RAN services, making networks more agile and efficient.







