Rugged Vehicle Computing

Serbia AI Computing Server

In 2023, the OECD awarded the National AI Platform as one of the nine most innovative public sector projects, among 1,048 projects from 94 countries worldwide. The AI Platform, aka supercomputer, is located in the State Data Center in Kragujevac, which meets the highest. The development of the National Platform is defined by the goals and measures of the Strategies for the Development of Artificial Intelligence in the Republic of Serbia for the periods 2020–2025 and 2025–2030. The expansion strategy places supercomputing. The Office for IT and eGovernment, in cooperation with the United Nations Development Programme (UNDP), has presented an interactive map of the AI ecosystem of the Republic of Serbia, which brings together in one place all key actors shaping the development of artificial intelligence in Serbia and. Eviden, the Atos Group business leading in digital, cloud, big data and security today announces the signature of a 50-million-euro contract with the Serbia's Office for IT and eGovernment.

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Selection Guide for Low-Loss SFP Optical Modules for Intelligent Computing Centers

This practical guide explains how to make SFP module selection decisions that hold up under real workload pressure, including how to compare options head-to-head across key technical criteria, what to measure, and how to avoid common interoperability and planning mistakes. Choosing the right SFP (Small Form-factor Pluggable) module for AI workloads is one of those infrastructure decisions that quietly determines your system's performance, reliability, and upgrade path. In AI clusters, networking isn't just “connectivity”—it directly affects training throughput. Selecting the correct SFP module is not simply a matter of matching connectors. In modern Ethernet networks, choosing the wrong transceiver can result in link failures, speed mismatches, compatibility errors, or unexpected distance limitations. With a plethora of options available, understanding the key parameters is crucial for optimal network performance and cost-effectiveness.

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