Blog

January 14, 2025

The growing demands of professional media workflows and data-intensive applications require storage solutions that can deliver both exceptional performance and reliability. This technical analysis explores the integration of HighPoint’s Rocket 1628A NVMe Switch Adapter with the xiRAID RAID engine in a professional workstation with relatively few compute resources.

November 19, 2024

In virtualized cloud environments, supporting the intensive data demands of AI workloads requires a robust and scalable storage solution. Parallel file systems, such as Lustre and pNFS, provide the distributed data handling needed for these environments, allowing data to scale seamlessly across multiple nodes with minimal performance degradation.

November 18, 2024

AI workloads in cloud environments pose unique performance challenges, particularly in managing data pipelines and processing I/O operations. These workloads demand storage solutions that deliver both low latency and high throughput while minimizing overhead, especially in virtualized environments.

October 11, 2024

This document showcases how xiRAID Classic software RAID and the AIC Storage Bridge Bay (SBB) platform can be combined to create a high-performance, fault-tolerant solution for storage subsystems.

October 3, 2024

This document provides a comprehensive guide to building a highly available BeeGFS solution using xiRAID Classic 4.1 on a dual-node system with shared NVMe drives. The focus is on optimizing the deployment of a BeeGFS parallel file system with data placed on clustered RAIDs powered by xiRAID, ensuring both performance and reliability.

September 18, 2024

This comprehensive guide demonstrates how to create a robust, high-performance Lustre file system using xiRAID Classic 4.1 and Pacemaker on an SBB platform. We’ll walk through the entire process, from system layout and hardware configuration to software installation, cluster setup, and performance tuning.

September 11, 2024

In this blog post, we’ll delve into the various testing configurations we’ve conducted for xiRAID, a software RAID solution by Xinnor. Our goal is to showcase the exceptional performance and capabilities of xiRAID across different scenarios, emphasizing its advantages and versatility.

August 28, 2024

In the fields of HPC and AI, the demand for efficient and scalable storage solutions is ever-increasing. Traditional storage systems often struggle to meet the high throughput and low latency requirements of modern AI workloads.

July 15, 2024

In today’s AI world, powerful storage is key for many GPUs working together on large datasets. These workflows involve an initial data load at high speeds, followed by data loading during training and periodic checkpoints, all at tens of gigabytes per second. Storage must handle many GPUs accessing massive datasets (hundreds of terabytes to petabytes) […]

July 9, 2024

Boosting virtual machine performance in Proxmox environments has always been a challenge due to inherent limitations in the existing I/O architecture. Xinnor’s latest solution xiRAID Opus, a software RAID engine operating in user space, addresses this issue head-on.

June 20, 2024

This is the second part of our High Availability post series started with introduction into High Availability challenges some time ago. Today we will look at the practical example and see how xiRAID 4.1.0 can be configured within existing Pacemaker cluster.

April 12, 2024

SSDs continue to advance in speed, particularly with the market shift to NVMe™ PCIe® 5.0 SSDs. With this technology, a single SSD can now achieve remarkable sequential read speeds of up to 14GB/s and sequential write speeds of 7GB/s, along with handling millions of Input/Output per second (IOps).

March 16, 2024

What is a high availability cluster and why it is important. Nowadays, data are the foundation for almost every business; the biggest threat to successful organizations is the loss of their data or the inability to access them.

March 14, 2024

Modern AI innovations require proper infrastructure, especially concerning data throughput and storage capabilities. While GPUs drive faster results, legacy storage solutions often lag behind, causing inefficient resource utilization and extended times in completing the project.