Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Eata HPC specializes in providing a wide range of scientific computing and simulation solutions that are specifically designed for academic and research institutions, ensuring research-grade precision, scalability, and proficiency across various scientific fields. Our offerings aim to assist researchers in breaking through computational challenges, speeding up the discovery process, and revealing new insights using HPC-driven modeling, simulation, and data analysis—eliminating the need for in-house HPC expertise or advanced numerical algorithms. By utilizing cutting-edge HPC systems, carefully optimized software tools, and a team of experts in specific domains, we deliver comprehensive solutions that encompass the entire research workflow, from developing models and optimizing parameters to executing simulations, processing data, and visualizing results. This holistic approach allows researchers to focus on their scientific inquiries while we handle the complexities of computational resources and methodologies.
Description
The Lustre file system is a parallel, open-source file system designed to cater to the demanding requirements of high-performance computing (HPC) simulation environments often found in leadership class facilities. Whether you are part of our vibrant development community or evaluating Lustre as a potential parallel file system option, you will find extensive resources and support available to aid you. Offering a POSIX-compliant interface, the Lustre file system can efficiently scale to accommodate thousands of clients, manage petabytes of data, and deliver impressive I/O bandwidths exceeding hundreds of gigabytes per second. Its architecture includes essential components such as Metadata Servers (MDS), Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and Lustre clients. Lustre is specifically engineered to establish a unified, global POSIX-compliant namespace suited for massive computing infrastructures, including some of the largest supercomputing platforms in existence. With its capability to handle hundreds of petabytes of data storage, Lustre stands out as a robust solution for organizations looking to manage extensive datasets effectively. Its versatility and scalability make it a preferable choice for a wide range of applications in scientific research and data-intensive computing.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon FSx for Lustre
No
Lucide
No
Qlustar
No
TrinityX
No
Integrations
Amazon FSx for Lustre
Yes
Lucide
Yes
Qlustar
Yes
TrinityX
Yes
Pricing Details
$0
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Eata Ray
Founded
2021
Country
United States
Website
www.eataray.com/hpc/
Vendor Details
Company Name
OpenSFS and EOFS
Country
United States
Website
www.lustre.org