Modular servers are been defined as server hosted with dedicated chassis, including network and storage components.
New York, NY -- (SBWIRE) -- 06/16/2017 -- Modular servers provide improvised design over conventional multinode, supercomputing, blades, and IT designs. Conventional servers have functional limitations in terms of separation of blades and multinode servers and with the introduction of modular servers, the traditional servers are expected to be replaced by them.
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Increasing number of mid-size organizations are expected to drive the demand for modular servers, which are used to address workloads requiring faster processing capability. They are well suited for modernization strategies of companies and consolidation of their data center. Some of the benefits offered by modular servers which will drive the demand include reliability, optimization of cost, simplified management, and serviceability.
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On the basis of geography, modular servers market can be segmented into seven key regions namely North America, Latin America, Western Europe, Eastern Europe, APEJ, Japan, and Middle East & Africa. Among various regions, the modular servers market in North America is expected to dominate during the forecast period. North America region is expected to be followed by Western Europe and APEJ. APEJ is expected to drive the demand for the modular server, supported by increasing presence of networking solution vendors in the region.
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The large size and mid-size players being the primary adopters of modular servers which require operational efficiency in their datacenters located on-premise, and these organizations are expected to lead the demand for modular servers. Most modular servers demand is shared between large size enterprise infrastructure for big data analytics and other IT service providers for their hybrid and public cloud deployment. However, implementation of modular servers can be a quite complex process as power consumption of data centers is still a challenge for network administrators and provides a threat of exceeding the capacity of their data centers.