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What is supercomputer?

Supercomputer is a cloud-based computational platform that provides sessions equipped with both GPU and CPU resources, tailored specifically for machine-learning applications and other intensive computational tasks. It empowers developers, researchers, and teams to start and manage sessions using either a command-line interface or a Python SDK, which allows them to execute their code on adjustable GPU instances while preserving their workspace files for future sessions. This service supports a wide range of activities including model training, fine-tuning, inference, experiments, evaluations, batch processing, hyperparameter tuning, and various data-processing operations. Users can conveniently upload their scripts and datasets, execute commands in persistent sessions, and either download results or store them in shared volumes for team access. Importantly, users are charged only for active sessions, and any inactive sessions retain their workspace for future use, enhancing operational efficiency. The pricing model is based on prepaid credits, with costs calculated by the second and varying according to the selected GPU specifications. Furthermore, this adaptable structure not only allows users to streamline their workflows but also assists in managing expenses effectively, making it a valuable resource for any computational project. Overall, the combination of flexibility and efficiency positions Supercomputer as a leading solution in the realm of cloud-based computing services.

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

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Compute is billed by the second from a prepaid balance. Stopped sessions incur no compute charges.

Pricing Information

$0.99 per hour

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

supercomputer

Company Website

supercomputer.sh/

Company Facts

Organization Name

Charg

Company Location

United States

Company Website

charg.cloud/

Categories and Features

Cloud GPU

Not specified

Categories and Features

Cloud GPU

Not specified

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