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What is xiRAID?

xiRAID is an advanced RAID solution designed specifically for the requirements of modern storage systems, particularly those that utilize NVMe and NVMe-over-Fabrics (NVMe-oF) technologies. By moving away from traditional hardware RAID controllers, it embraces a software-driven architecture that not only boosts performance but also lowers overall ownership costs and enhances operational adaptability. This solution supports both locally connected drives and networked NVMe devices, serving as a unified block device that applications can access without necessitating any modifications. Aimed at achieving performance metrics that rival those of hardware, xiRAID utilizes advanced techniques like I/O parallelization and a lockless datapath, reaching remarkable throughput speeds of up to 150 GB/s, managing up to 30 million IOPS, and keeping latency below 0.5 ms, all while consuming minimal CPU and memory resources. With support for various RAID configurations, including levels 0, 1, 5, 6, 10, 50, 60, and 70, it integrates effortlessly with existing file systems through its compatibility with POSIX APIs. Overall, xiRAID is not just a robust solution; it is also a highly adaptable one, ready to cater to the dynamic demands of data-heavy applications. Its ability to evolve in response to changing technology trends ensures that it remains a leading choice for enterprises looking to optimize their storage infrastructure.

What is Lustre?

The Lustre file system is an open-source, parallel file system engineered to meet the rigorous demands of high-performance computing (HPC) simulation environments typically found in premier facilities. Whether you are part of our dynamic development community or assessing Lustre for your parallel file system needs, you will have access to a wealth of resources and support. With a POSIX-compliant interface, Lustre efficiently scales to support thousands of clients and manage petabytes of data while achieving remarkable I/O bandwidths that can surpass hundreds of gigabytes per second. Its architecture consists of crucial components, including Metadata Servers (MDS), Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and Lustre clients. Designed to create a cohesive, global POSIX-compliant namespace, Lustre is tailored for extensive computing environments, encompassing some of the largest supercomputing platforms available today. With the ability to handle vast amounts of data storage, Lustre emerges as a powerful solution for organizations aiming to effectively manage large datasets. Its adaptability and scalability render it an excellent choice across diverse applications in scientific research and data-intensive computing, reinforcing its status as a leading file system in the realm of high-performance computing. Organizations leveraging Lustre can expect enhanced data management capabilities and streamlined operations tailored to their computational needs.

Media

Media

Integrations Supported

Amazon FSx for Lustre
Lucide
Qlustar
TrinityX

Integrations Supported

Amazon FSx for Lustre
Lucide
Qlustar
TrinityX

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Xinnor

Date Founded

2022

Company Location

India

Company Website

xinnor.io/what-is-xiraid/

Company Facts

Organization Name

OpenSFS and EOFS

Company Location

United States

Company Website

www.lustre.org

Categories and Features

Categories and Features

HPC

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