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What is PetaSAN?

PetaSAN is a sophisticated scale-out storage solution that functions in an active/active configuration, offering remarkable scalability and performance. By utilizing modern cloud technologies, PetaSAN allows for the effortless expansion of the storage cluster by adding nodes at any point without interrupting existing operations. While it operates on complex technologies, PetaSAN presents a unified solution that is easy to install and manage. Its intuitive graphical interfaces are designed to be user-friendly for those who may not have Linux administration experience, yet still provide comprehensive control for advanced Linux users. PetaSAN effectively integrates established technologies that support some of the most significant cloud infrastructures available, employing simple point-and-click interfaces for ease of use. At its foundation, PetaSAN utilizes the Ceph storage engine, a cutting-edge open-source software-defined storage solution that underpins many private and public cloud environments. This combination of usability and high performance positions PetaSAN as an attractive option for organizations aiming to improve their data storage capabilities. Additionally, the flexibility and scalability of PetaSAN make it suitable for a wide range of applications, ensuring that it can adapt to the evolving needs of businesses.

What is Charg?

Charg is an innovative platform that streamlines the entire lifecycle of AI infrastructure, transforming traditional enterprise-grade supercomputing systems into flexible cloud environments tailored for AI and high-performance computing tasks. The public HPC cloud provided by Charg grants access to a wide range of resources, from a singular GPU to an expansive cluster exceeding 60 PFLOPS, empowering teams to leverage supercomputing power without the burden of owning or maintaining the hardware themselves. It incorporates cutting-edge CRAY supercomputers and the formidable NVIDIA DGX architecture, which combines clustered NVIDIA V100 GPUs with high-speed 200 GbE InfiniBand networking and comprehensive all-flash CEPH storage, delivering exceptional low-latency and high-throughput performance. Charg is meticulously crafted to address demanding AI workflows, scientific inquiries, and engineering calculations, facilitating a multitude of tasks such as model training, large-scale inference, simulations, complex data analysis, finite element analysis, and computational fluid dynamics. By utilizing an API-driven framework, Charg not only integrates effortlessly with existing workflows but also provides scalable on-demand capacity, free from operational constraints, making it a prime solution for various computational requirements. This adaptability guarantees that organizations can swiftly modify their resources in response to fluctuating demands, ensuring efficiency and effectiveness in their computational endeavors. Moreover, the platform prioritizes user experience, making it easier for teams to focus on innovation rather than infrastructure challenges.

Media

Media

Integrations Supported

Microsoft Hyper-V
VMware vSphere

Integrations Supported

Microsoft Hyper-V
VMware vSphere

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0.99 per hour
Free Version
Free Trial Offered?

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

PetaSAN

Company Website

www.petasan.org

Company Facts

Organization Name

Charg

Company Location

United States

Company Website

charg.cloud/

Categories and Features

Categories and Features

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