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Average Ratings 0 Ratings

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ease
features
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support

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Description

Charg is a platform for managing the lifecycle of AI infrastructure, converting established enterprise-grade supercomputing systems into adaptable cloud environments for AI and high-performance computing. The public HPC cloud offered by Charg allows access to resources ranging from a single GPU to an extensive 60+ PFLOPS cluster, enabling teams to harness supercomputing capabilities without the need to own or maintain the physical hardware. It utilizes advanced CRAY supercomputers and the robust NVIDIA DGX architecture, which integrates clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and extensive all-flash CEPH storage, ensuring low-latency and high-throughput performance. Charg is specifically designed to handle intensive AI tasks, scientific research, and engineering computations, facilitating activities such as model training, large-scale inference, simulations, intricate data analysis, finite element analysis, and computational fluid dynamics. With an API-driven infrastructure, Charg not only scales seamlessly with existing workflows but also offers on-demand capacity, free from operational limitations, making it an ideal choice for diverse computational needs. This flexibility ensures that organizations can dynamically adjust their resources to meet changing demands without any hassle.

Description

Compute Exchange serves as an online platform for organizations looking to acquire GPU infrastructure. It consolidates available cloud GPU resources, data center equipment, and future compute agreements into a single marketplace. Users can define their needs by selecting GPU specifications such as model, quantity, location, and duration, allowing them to assess vendor proposals and juxtapose pricing, availability, and service-level agreements from various suppliers. In terms of hardware, the platform connects buyers and sellers of both used and refurbished data center GPUs, facilitating direct negotiations among verified parties. For reserved capacity, it centralizes offers from cloud service providers, although Compute Exchange does not directly manage the compute resources. This innovative service is tailored for AI laboratories, startups, large enterprises, data centers, and other institutional clients in search of GPU resources or hardware suitable for artificial intelligence and machine-learning applications. Ultimately, Compute Exchange streamlines the process of sourcing essential GPU infrastructure for a wide range of users in the tech industry.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

$0.99 per hour
Free Trial No 
Free Version No 

Pricing Details

$1.10/GPU/hour
H100 GPU capacity is advertised from $1.10 per GPU/hour. Rates vary by GPU model, region, quantity, and reservation term. Data-center hardware is priced by configuration and condition.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Charg

Country

United States

Website

charg.cloud/

Vendor Details

Company Name

Compute Exchange

Founded

2024

Country

United States

Website

compute.exchange/

Product Features

Product Features

Alternatives

Alternatives

No Alternatives
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