Eagle-Lanner tech blog
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- 作者 Super User
With the increasing demand for data storage, especially in edge computing, traditional formats like 2.5-inch and M.2 drives are starting to show their limitations. Enter the E1.S SSD, a next-generation storage solution designed to overcome these challenges and deliver improved performance, efficiency, and scalability for mission-critical applications.
閱讀全文: E1.S SSDs: High-Performance Storage for Mission-Critical Applications
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- 作者 Super User
A bastion host is a special-purpose server designed and configured to withstand attacks while managing access to an internal or private network from an external network. It acts as a bridge, or "jump box," allowing authorized users to connect securely to a private network without exposing it to the public internet.
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- 作者 Super User
The Paris Olympics 2024 is set to be one of the most ambitious and technologically advanced games in history, with sustainability and efficiency at its core. As the world watches, the scale of energy management required for such an event becomes evident. The vast number of venues, the fluctuating demands of various activities, and the integration of renewable energy sources present a unique challenge. Enter AI and edge appliances—technologies that are revolutionizing how energy is managed in real time.
閱讀全文: Deploying AI-powered Energy Management in the Paris Olympics
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- 作者 Super User
As artificial intelligence continues to advance, combining visual data analysis with natural language processing has become a transformative innovation for enterprises. One solution in this domain is image-to-text generative AI technology, which combines advanced object detectors with extensive training on visual and language datasets. This technology combines advanced object detectors with extensive training on visual and language datasets, allowing the model to break down images and video frames into individual components such as objects, people, and locations. By generating detailed descriptions that can be queried using natural language prompts or automatically through an API, this sophisticated interaction between image analysis and language understanding sets this technology apart in the realm of computer vision.
閱讀全文: Deploying Image-to-Text Generative AI at the Network Edge
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- 作者 Super User
The evolution of edge computing has led to the creation of highly efficient and powerful solutions, necessary for processing data closer to its source. One standout solution in this landscape is the Converged Multi-access Edge Computing (MEC) Server, often described as a "Data Center in a box." This scalable, all-encompassing system integrates multiple functionalities into a single unit by using software-defined architecture, distinguishing itself from traditional dedicated architectures.
閱讀全文: Consolidating Edge Workloads with Converged MEC Servers
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The integration of AI and edge computing has unlocked numerous possibilities across various industries. One particularly transformative application is the deployment of Large Language Models (LLMs) on private 5G networks. This combination promises not only enhanced data security and privacy but also improved efficiency and responsiveness. In this blog post, we explore how to build a secure LLM infrastructure using a Edge AI Server on a private 5G network.
閱讀全文: Building a Secure, private Large Language Models (LLM) on Private 5G Network
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- 作者 Super User
To meet the evolving demands of high-performance computing (HPC) and AI-driven data centers, NVIDIA has introduced the MGX platform. This innovative modular server technology is specifically designed to address the complex needs of modern computing environments, offering scalable solutions that can adapt to the varying operational requirements of diverse industries. With its future-proof architecture, the NVIDIA MGX platform enables system manufacturers to deliver customized server configurations that optimize power, cooling, and budget efficiencies, ensuring that organizations are well-equipped to handle the challenges of next-generation computing tasks.