ALL FLASH NVME SERVERS FOR ADVANCED COMPUTING

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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Electronic optical element EML for edge computing

Electronic optical element EML for edge computing

EML diodes combine a laser and an electro-absorption modulator on one chip to enable fast and stable optical data transmission over long distances. They provide high-speed modulation with low signal distortion, making them ideal for demanding networks like metro and backbone systems. Wavelength-tunable narrow-linewidth laser, semiconductor optical amplifiers, IQ modulators, coherent mixer, photodiode array. 6 Tbps (4×400Gbps/λ) O-Band IM/DD Transmission Over 2 km Using Uncooled DFB Lasers on the LAN-WDM grid and Sub-1V Drive TFLN. 6T optical transceivers are core components for next-generation high-speed optical communication, and their core technologies and processes involve multiple key areas such as optoelectronic chips, packaging design, material innovation, and power consumption optimization.

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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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AI Computing Power Storage Server

AI Computing Power Storage Server

An all-in-one Edge AI computing platform integrates storage, virtualization, and computing power to help enterprises efficiently, securely, and cost-effectively deploy on-premises AI applications — accelerating smart transformation across industries. We power AI from grid to core - Enabling best-in-class AI server rack system efficiency, power density, thermal performance and reliability To meet accelerating AI compute demand, next‑generation processors will need 2–4 kW per GPU, pushing rack power toward 1 MW+ by 2030. Maximize operational productivity and deliver transformative results for your enterprise infrastructure located in the data center or at the edge. Provides Direct customers with B2B Self Service tools such as Pricing, Programs, Ordering, Returns and Billing. Artificial intelligence (AI) is being adopted across all industry sectors and the growing need to run AI (as well as machine learning, or ML) workloads is placing considerable demands on servers.

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Intelligent Customization Process of ODN Optical Distribution Network for Intelligent Computing Centers

Intelligent Customization Process of ODN Optical Distribution Network for Intelligent Computing Centers

This white paper introduces an evolved methodology to manage FTTx Optical Distribution Network (ODN) performance. A centralized OTDR-based solution is the core of this evolved methodology, which greatly improves the visibility and operation efficiency in maintaining ODN . Operators need a centralized, standardized, and full-lifecycle system to perform ne-grained management of the dumb resources and dark pipes of the optical network. The method comprises: performing overall planning on optical fiber jumper connection to form a construction work order, and setting a traveling path of an intelligent. The result: faster mean-time-to-repair (MTTR), higher first-time fix, and traceable changes—without relying on customer-side TF reflectors. Starting from the shortcomings and problems of traditional 0DN, this paper expounds the constituent nodules and technical advantages of intelligent 0DN technology, and analyses the key points of intelligent 0DN deployment, so as to meet the requirements of EPQN communication system in distribution.

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