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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

Pacific specializes in offering GPU computing rentals and modular AI infrastructure tailored for enterprises engaged in AI training, fine-tuning, and inference tasks. Their service catalog features on-demand dedicated NVIDIA GPU nodes, such as H100, H200, and B200 configurations, with the option for larger systems and reserved capacities upon request. The rentals include SSH access to bare-metal Linux hosts equipped with NVIDIA drivers and CUDA technology. For clients with longer-term or specific site requirements, Pacific provides reserved single-tenant clusters, managed on-premises installations, colocation solutions, and bridge capacity while permanent facilities are being established. Their factory-assembled modules integrate compute, networking, cooling, and power distribution, making them suitable for customer sites, colocation centers, or any other viable powered locations. The clientele comprises AI teams and infrastructure managers assessing their training or inference capabilities, along with organizations seeking enhanced control over their computing deployments. Additionally, Pacific's modular infrastructure can be quickly deployed, allowing for flexibility in scaling resources as AI projects evolve.

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

$2.99/GPU-hour
Preview GPU-hour rates are H100 $2.99, H200 $4.49, and B200 $6.14. H100 reserved rates are $2.69/GPU-hour for 7–30 days, $2.54 for 31–90 days, and $2.39 for 91–180 days, by request. B300 and NVL72 pricing is by request. Preview rates are indicative until allocation is confirmed.
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 Yes 
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

Pacific Intelligent Technologies

Founded

2026

Country

United States

Website

pacificmachines.com

Product Features

Product Features

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