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Nextron Becomes the Reseller for GigaIO to Bolster AI-Solutions Growth in Scandanavian Markets

Nextron Will Sell GigaIO’s High-Performance Platform FabreX in Scandinavian Regions of Norway, Sweden, Denmark, and Finland.

Nextron will sell GigaIO’s high-performance platform FabreX in Scandinavian regions of Norway, Sweden, Denmark, and Finland. GigaIO is an industry leader in designing robust architectures for data center networks & connectivity and has signed an agreement with Scandinavia’s server market business leader Nextron to expand its sales in high-growth regions.  FabreX is GigaIO proprietary hyper-performance platform which consists of –

  • Flexible infrastructure
  • Server-to-server communication capabilities
  • Cluster-scale networking

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“FabreX technology dramatically, yet affordably, increases high-performance computing capabilities. The architecture allows for effortless composability and disaggregation, providing customers with more flexibility and overall cost reduction,” says Alan Benjamin, CEO of GigaIO. “Working with Nextron is an excellent opportunity for us. We are thrilled to grow our international customer base and expand access to FabreX technology.”

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“We strive to provide customers with the most cutting-edge servers and storage on the market,” says Lasse Sandstone, chief marketing officer of Nextron. “FabreX is at the forefront of high-performance computing solutions. The platform significantly improves system performance and user flexibility, making it an excellent addition to our vast array of leading HPC technology.”

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FabreX’s ultra-modern software and hardware attributes allow the platform to deliver on extremely high computing performance. The platform’s infrastructure allows data centers to scale up or down, depending on performance requirements, effortlessly. Moreso, FabreX delivers on –

  • Unparalleled low latency
  • Improved resource utilization
  • Optimal user flexibility

FabreX is equipped with Cascading PCIe technology — it as an industry-first, in-memory network facilitating the development of large clusters with computing power.

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