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Infortrend Expands Edge Computing Portfolio

Infortrend Technology has expanded its edge computing portfolio to address the growing demand for local data processing. The updated offerings range from single-node solutions to resilient, clustered deployments.

14 July 2026
Infortrend Expands Edge Computing Portfolio

Taipei – Infortrend Technology announced on July 14, 2026, an expansion of its edge computing portfolio designed to support evolving AI and edge workloads. The company has structured its updated offerings into distinct categories to meet varying demands, from single-node setups to highly resilient, clustered deployments.

The expansion addresses the increasing need for infrastructure capable of handling edge AI inference, virtualization, and containerized applications as organizations process data closer to its source. Recognizing that edge deployments vary significantly in scale, performance needs, and available IT resources, Infortrend now provides a comprehensive suite of both bare metal hardware and integrated turnkey solutions.

The portfolio includes hardware solutions built for edge environments for those preferring to manage their own software stacks. However, a significant portion of the offering comprises ready-to-deploy turnkey solutions. These systems come pre-configured with operating systems and software for rapid implementation. They are categorized into three tiers: Standalone Edge for single-node deployments in remote sites, HA Edge for a redundant, high-availability two-node setup for critical operations, and Advanced Edge for scalable cluster deployments (3-5 nodes) supporting large-scale edge AI workloads.

These solutions are underpinned by two purpose-built hardware series: the KS 3000U, optimized for space-constrained environments with a single processor and up to two GPUs, and the more powerful KS 5000U. The KS 5000U series features dual processors (Intel Xeon or AMD EPYC) and supports up to 320 CPU cores with capacity for up to four GPUs, catering to the most demanding compute-intensive tasks.

"Processing data at the edge eliminates latency and reduces cloud dependency—but different sites have vastly different uptime and scale requirements. We expanded our portfolio to address this directly so that enterprises can deploy the right infrastructure for their exact operational footprint," said Frank Lee, Senior Director of Product Planning at Infortrend Technology.

Original source: prnewswire.com