Audience

University research labs that need scalable supercomputing resources for AI training, scientific simulations, and data-intensive engineering

About Charg

Charg is an AI infrastructure lifecycle platform that transforms proven enterprise-grade supercomputing systems into scalable AI and high-performance computing cloud environments. Its public HPC cloud provides access to anything from a single GPU to a full 60+ PFLOPS cluster, giving teams supercomputing power without owning or managing the underlying hardware. It redeploys hyperscaler-class CRAY supercomputers and mature NVIDIA DGX architecture, combining clustered NVIDIA V100 GPUs with 200 GbE InfiniBand networking and petabytes of high-density all-flash CEPH storage for low-latency, high-throughput performance. Charg is built for demanding AI, scientific research, and engineering workloads, including model training, scaled inference, simulations, advanced data analysis, finite element analysis, and computational fluid dynamics. Its API-driven infrastructure scales with existing workflows and supports on-demand capacity without the operational restrictions.

Pricing

Starting Price:
$0.99 per hour

Integrations

API:
Yes, Charg offers API access
No integrations listed.

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Company Information

Charg
United States
charg.cloud/

Videos and Screen Captures

Charg Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

Charg Frequently Asked Questions

Q: What kinds of users and organization types does Charg work with?
Q: What languages does Charg support in their product?
Q: Does Charg have an API?
Q: What type of training does Charg provide?
Q: How much does Charg cost?

Charg Product Features