Company Name: QSAN TECHNOLOGY, INC.
Country: Taiwan
Profile: Artificial Intelligence, Data & Cloud
Website: https://www.qsan.com/
Social Media:
Facebook: https://www.facebook.com/QSANstorage/
LinkedIn: linkedin.com/company/qsan-technology-inc-/
YouTube: https://www.youtube.com/user/QsanTechnology
Instagram: https://www.instagram.com/qsan.official/
Booth no.: F17
Company Profile:
QSAN Technology is committed to building AI-ready enterprise IT infrastructure through high-performance, scalable, and reliable data management and storage solutions.
With more than two decades of expertise, QSAN helps organizations protect, deploy, scale, and manage mission-critical data and applications while continuously optimizing system architecture and operational efficiency.
Its solutions are designed to strengthen data resilience and provide a solid foundation for on-premises AI workloads, supporting future AI applications and digital operations.
Our Solutions/Product Highlight:
XN5 — AI-Ready NVMe Unified Storage Platform
XN5 is a high-performance unified storage platform designed for Smart City and on-premises AI applications. It supports AI inference, real-time analytics, smart surveillance, healthcare, education, digital government services, IoT, and other data-intensive workloads.
Built on an NVMe architecture, XN5 delivers low-latency, high-speed data access while consolidating file, block, and object storage on a single platform to simplify infrastructure and reduce management complexity.
Its dual-controller architecture and redundancy features provide enterprise-grade high availability and continuous access to mission-critical data.
XN5 also supports flexible capacity and interface expansion as video, IoT, AI, and unstructured datasets grow. By enabling sensitive data to be stored and processed within locally controlled infrastructure, the platform also supports data sovereignty, privacy, and compliance requirements.
Integrated with QSAN XInsight, XN5 enables centralized monitoring of device status, storage resources, system events, and performance across multiple systems and locations.
