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What is Fuzzball?

Fuzzball drives progress for researchers and scientists by simplifying the complexities involved in setting up and managing infrastructure. It significantly improves the design and execution of high-performance computing (HPC) workloads, leading to a more streamlined process. With its user-friendly graphical interface, users can effortlessly design, adjust, and run HPC jobs. Furthermore, it provides extensive control and automation capabilities for all HPC functions via a command-line interface. The platform's automated data management and detailed compliance logs allow for secure handling of information. Fuzzball integrates smoothly with GPUs and provides storage solutions that are available both on-premises and in the cloud. The human-readable, portable workflow files can be executed across multiple environments, enhancing flexibility. CIQ’s Fuzzball reimagines conventional HPC by adopting an API-first and container-optimized framework. Built on Kubernetes, it ensures the security, performance, stability, and convenience required by contemporary software and infrastructure. Additionally, Fuzzball goes beyond merely abstracting the underlying infrastructure; it also automates the orchestration of complex workflows, promoting greater efficiency and collaboration among teams. This cutting-edge approach not only helps researchers and scientists address computational challenges but also encourages a culture of innovation and teamwork in their fields. Ultimately, Fuzzball is poised to revolutionize the way computational tasks are approached, creating new opportunities for breakthroughs in research.

What is DatologyAI?

Boost your training efficiency, improve performance, and reduce computational costs with our expert data curation services. Discover the advantages of automated data management that seamlessly integrates with your existing infrastructure, eliminating the need for manual oversight. Regardless of whether your data encompasses text, images, videos, tables, or various other formats, our solution is designed to accommodate a wide array of data types. Unlock the potential of your underutilized data and transform it into vital assets for your organization. Our product is compatible with both cloud and on-premises data systems, requiring minimal adjustments to your current training protocols. By adopting our solution, you can enhance and safeguard your AI capabilities within your own setup, as our infrastructure ensures that your data remains securely within your Virtual Private Cloud (VPC). Additionally, this strategy not only optimizes your workflow but also strengthens data governance and compliance, providing a comprehensive solution tailored to your business needs. Ultimately, investing in our data curation services can lead to significant long-term benefits, enabling your organization to stay ahead in a competitive landscape.

Media

Media

Integrations Supported

Jupyter Notebook
Kubernetes
MATLAB
PyTorch
R-Studio
TensorFlow
YAML

Integrations Supported

Jupyter Notebook
Kubernetes
MATLAB
PyTorch
R-Studio
TensorFlow
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

CIQ

Date Founded

2020

Company Location

United States

Company Website

ciq.com/products/fuzzball/

Company Facts

Organization Name

DatologyAI

Date Founded

2023

Company Location

United States

Company Website

www.datologyai.com

Categories and Features

HPC

Categories and Features

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