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VDURA has completed the deployment of its data platform at New Mexico State University (NMSU), moving the system into full production. The infrastructure is designed to serve the university’s research community with a high-durability, high-throughput storage environment tailored specifically for artificial intelligence and high-performance computing (HPC) workloads. NMSU, which holds Carnegie R1 status and manages over $141 million in annual research expenditures across aerospace, cybersecurity, agriculture, water science, and biomedical disciplines, has integrated the platform into its Research Cores Program. This program centralizes shared instrumentation and computational resources to accelerate large-scale simulation and AI model training across diverse academic departments. Mixed-Fleet Architecture and InfiniBand Integration Technically, the installation utilizes VDURA’s mixed-fleet storage architecture, integrating high-speed NVMe flash alongside high-density HDD storage tiers. This tiered configuration exposes a single global namespace across the university’s InfiniBand network fabric. The NVMe tier delivers low-latency responsiveness and high IOPS for active computational pipelines, while the high-density HDD tier provides cost-effective bulk capacity for secondary data sets and long-term retention. Because the platform relies on a software-defined architecture supported by a subscription model, the university can independently scale performance and raw capacity over time to match evolving computational demands without disrupting active production workflows. Alignment with Post-Quantum Cryptography Research The production deployment builds on an existing strategic partnership established in August 2025 between VDURA and NMSU, focused on post-quantum cryptography (PQC). That initiative aims to develop and commercialize cryptographic methods to secure petabyte-scale data pipelines supporting AI and HPC workloads against emerging quantum computing threats. By standardizing on VDURA hardware and software, NMSU runs its production research on the same storage infrastructure that underpins its ongoing security and data pipeline co-development projects. VDURA technical leadership noted that providing stable, high-efficiency data infrastructure maximizes compute-hour yield for high-stakes research environments, supporting the institution’s expanded computational requirements.
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