AI IN CLOUD COMPUTING ENHANCING SERVICES

AI computing power and liquid-cooled servers

AI computing power and liquid-cooled servers

The only way to solve the massive heat problems of next gen AI chips is with liquid cooling. AI factories are pushing data center power and cooling requirements beyond traditional limits, making integrated AI data center infrastructure essential. This goes beyond simply raising silicon's temperature tolerance and could change how data centre cooling is. Older "brownfield" data centers were designed for server racks consuming between 5 and 15 kilowatts (kW) of power.

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AI Computing Server SE5

AI Computing Server SE5

Discover the SE5-EA400 Micro Server, equipped with TPU chip BM1684 for high-performance and low power consumption. SE5, as a kind of edge computing device supporting, can cope with intelligent security & transport, smart park, smart reta l and a multiple of scenarios. Together with the diversified algorithms, it can realize face control, structured video analysis and commodity. It can process 16 channels HD video, and support 38 channels 1080p HD video hardware decoding and 2 channels encoding. Powered by SOPHON AI processor BM1684, SE5 16-EA4-11 can be configured with 16GB RAM.

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Low-loss optical circulators for cloud computing in the Gulf region

Low-loss optical circulators for cloud computing in the Gulf region

81 dB), broadband (at least 50-GHz bandwidth), and high-extinction (up to 27 dB) circulators, based on Mach-Zehnder interferometers including so-called fiber null-couplers. Thorlabs' Single Mode (SM) Optic Circulators are non-reciprocating, one directional, three-port devices that are used in a wide range of optical setups and for numerous applications. Global Optical Circulator Market Size By Type (Single-Stage Optical Circulators, Multi-Stage Optical Circulators), By Application (Telecommunications, Data Communication), By Material (Glass, Plastic), By End User (Commercial, Industrial), By Operating Wavelength (Near Infrared (NIR) Visible. Additionally, the growth of data centers and cloud computing services in the region further fuels demand, as optical circulators are essential for efficient data routing and signal management. This means that if light enters port 1 it is emitted from port 2, but if some of the emitted light is reflected back to the circulator, it does not come out of port 1 but.

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How to set up AI on a cloud server

How to set up AI on a cloud server

In this comprehensive guide, we will explore the key factors to consider when selecting an AI server setup, including understanding your AI workload requirements, determining the right hardware configuration, choosing the right operating system, selecting the right storage. A custom AI server flips the script, giving you ownership over your infrastructure and the freedom to innovate without compromise. Yet, to implement AI models effectively, one needs powerful computing capacity, which is where an AI GPU server is needed. Using GPU-accelerated infrastructure provides accelerated model training and inference, and thus it is an essential part of AI-powered businesses. To begin with, this comprehensive guide dives into a concept inspired by the principles of the Model Context Protocol (MCP). For AI web apps, there are usually two key network paths: Client ↔ Frontend/API: This is standard web latency.

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Kenya Cloud AI Server

Kenya Cloud AI Server

Nairobi, Kenya - March 12, 2026 - Kenyan technology firms Atlancis Technologies and EverseTech have launched a sovereign artificial-intelligence cloud platform in Kenya, aiming to provide enterprises and government agencies with locally hosted AI computing. Kenya unveils Servernah Cloud, the continent's first sovereign-hosted AI platform designed for localized GPU workloads. Kenya has officially become the first country in East Africa to offer rentable, high-performance GPU infrastructure for artificial intelligence development, following the launch of NVIDIA-powered AI servers by Cassava Technologies at its Nairobi data center.

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