Xinnor is an Israel-based software company specializing in high-performance data storage solutions. Founded in 2022, the company develops xiRAID — a patented software RAID engine built on a decade of math research, unique erasure-coding algorithms, and deep knowledge of modern CPU architecture. xiRAID delivers up to 97% of raw NVMe device performance in RAID5 configuration, with minimal CPU and memory overhead, and works with local and networked NVMe, SAS, and SATA drives over any transport (PCIe, NVMe-oF, Fibre Channel, InfiniBand). The company also offers xiSTORE, a software-defined storage solution for HPC and AI workloads. Xinnor's customers span AI research, high-performance computing, financial services, and media production.
Top-tier IO500 results are typically associated with purpose-built appliances and large, complex deployments. This talk challenges that assumption through the Helma supercomputer at Friedrich-Alexander-Universität (FAU): a production environment that reached #3 on the IO500 Production list using commodity PCIe Gen5 NVMe drives and "cluster-in-a-box" servers, delivering strong performance across a ~5 PB Lustre-based cluster with a comparatively small hardware footprint.We'll walk through the tuning and validation methodology behind the result — BIOS choices, kernel/OS parameters affecting PCIe and NVMe throughput, and Lustre 2.16.1 configuration for both bandwidth and metadata performance. Outcomes include ~1.8 TB/s sequential reads, 800+ GB/s sequential writes, and ~8.2M metadata stat ops/s. Attendees will leave with a replicable checklist for building efficient, high-performing production storage on broadly available hardware and open-source software, plus an honest account of trade-offs and what we'd do differently.
PCIe Gen5 NVMe SSDs are now fast enough that parity RAID frequently becomes CPU-bound, pushing teams toward high-frequency, power-hungry processors just to keep pace. Meanwhile, power has become one of the tightest constraints in modern data centers. This talk shares results from a joint Xinnor & Intel validation asking whether energy-efficient CPU cores (Intel Xeon 6 E-cores) can realistically drive high-end NVMe storage performance without compromising latency or predictability.We present benchmark results and the reasoning behind them: how different I/O processing approaches shift the trade-off between peak IOPS and tail latency, why interrupt coalescing can dramatically boost random read throughput while introducing large latency penalties, and how a user-space polling datapath avoids that compromise. Using an 8x PCIe Gen5 NVMe setup, we compare RAID6 and RAID10 across Intel Xeon E-cores and P-cores, translating findings into practical design guidance for building performance-per-watt-optimized NVMe servers and NVMe-oF building blocks.