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Description
Fuzzball propels innovation among researchers and scientists by removing the complexities associated with infrastructure setup and management. It enhances the design and execution of high-performance computing (HPC) workloads, making the process more efficient. Featuring an intuitive graphical user interface, users can easily design, modify, and run HPC jobs. Additionally, it offers extensive control and automation of all HPC operations through a command-line interface. With automated data handling and comprehensive compliance logs, users can ensure secure data management. Fuzzball seamlessly integrates with GPUs and offers storage solutions both on-premises and in the cloud. Its human-readable, portable workflow files can be executed across various environments. CIQ’s Fuzzball redefines traditional HPC by implementing an API-first, container-optimized architecture. Operating on Kubernetes, it guarantees the security, performance, stability, and convenience that modern software and infrastructure demand. Furthermore, Fuzzball not only abstracts the underlying infrastructure but also automates the orchestration of intricate workflows, fostering improved efficiency and collaboration among teams. This innovative approach ultimately transforms how researchers and scientists tackle computational challenges.
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
Yes
API Access
Has API
No
Integrations
Amazon FSx for Lustre
No
Jupyter Notebook
Yes
Kubernetes
Yes
Lucide
No
MATLAB
Yes
PyTorch
Yes
Qlustar
No
R-Studio
Yes
TensorFlow
Yes
TrinityX
No
Integrations
Amazon FSx for Lustre
Yes
Jupyter Notebook
No
Kubernetes
No
Lucide
Yes
MATLAB
No
PyTorch
No
Qlustar
Yes
R-Studio
No
TensorFlow
No
TrinityX
Yes
Pricing Details
No price information available.
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
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CIQ
Founded
2020
Country
United States
Website
ciq.com/products/fuzzball/
Vendor Details
Company Name
OpenSFS and EOFS
Country
United States
Website
www.lustre.org
