Ciphertex Data Security® introduces its AI-Ready NVMe encrypted server rackmount lineup, delivering scalable high-performance flash storage platforms in 12-bay and 24-bay configurations, including a 24-bay FIPS-compliant mechanical design for regulated environments. Powered by enterprise-class processors and high-capacity ECC memory, these systems provide exceptional throughput, low-latency performance, and rock-solid reliability. Built on Ciphertex’s security-first architecture, the platform integrates hardware-based encryption, hardened system controls, and flexible high-speed networking to support AI inference, analytics, virtualization, and mission-critical workloads.
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Ideal for modern data center, edge, and AI workloads, Ciphertex® encrypted rackmount servers are engineered for standard 19″ racks and built to sustain the most demanding performance environments. Designed exclusively for NVMe flash architectures, these platforms support ultra-high-speed PCIe Gen 4 and Gen 5 NVMe storage with massive dedicated bandwidth, paired with high-speed networking options including 25GbE and beyond. The result is exceptional throughput, ultra-low latency, and predictable performance for data-intensive and AI-driven workloads. Built on ZFS-based storage architecture, the systems support advanced data integrity, compression, and efficiency technologies optimized for long-term performance and reliability at scale.
The Ciphertex® encrypted server lineup—spanning rugged rackmount platforms and FIPS mechanical designs—is meticulously engineered for uninterrupted operation in mission-critical and regulated environments. With more than 15 years of proven deployments across defense, government, healthcare, and enterprise organizations worldwide, each system is fully customizable to meet specific operational, security, and compliance requirements. Purpose-built for security-first and AI-ready deployments, Ciphertex® platforms deliver uncompromising performance, durability, and trust for organizations that demand absolute reliability.