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What is TensorHost?

TensorHost provides GPU computing capabilities directly through its own infrastructure, eliminating dependence on external providers. Clients submit their requirements regarding workload, GPU specifications, quantity, and timing preferences; subsequently, service particulars and locations are confirmed before finalizing the resource allocation agreement. This offering grants users access to NVIDIA GPU power for AI tasks and other intensive computational processes. By maintaining its core infrastructure, TensorHost enables clients to effectively deploy the designated computing resources for their unique applications and operations. The service is primarily aimed at developers, AI teams, and enterprises looking for GPU solutions without the complexities of purchasing and managing their own GPU hardware. Users incur charges based on actual usage, with capacity and pricing tailored to the requested specifications. This operational model promotes adaptability and scalability, allowing clients to navigate the diverse computing needs within an ever-changing tech environment. Furthermore, TensorHost's commitment to quality service ensures that clients can focus on innovation while relying on robust GPU resources.

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.

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

$0.50/GPU-hour
RTX 5090 compute is $0.50 per GPU-hour, billed per second, with no minimums or egress charges. Other GPU configurations are quoted in USD.

Pricing Information

$0.99 per hour

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

GPU Server Hosts

Date Founded

2025

Company Location

United Kingdom

Company Website

tensorhost.com

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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