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About

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.

About

OpenGPU Network is a decentralized GPU compute platform that connects users who need high-performance computing power with a global network of independent GPU providers, enabling AI inference, machine learning training, rendering, and other intensive workloads to run across distributed infrastructure instead of centralized cloud services. It acts as a global routing layer that automatically matches workloads with available GPU capacity worldwide, allowing tasks to be executed instantly without managing infrastructure or dealing with region limits, queues, or provisioning delays. It addresses the growing imbalance between high demand for GPUs and fragmented, underutilized supply by aggregating resources from data centers, cloud providers, and individual machines into a single network. OpenGPU operates on a blockchain-based system that coordinates task execution, verifies results, and distributes rewards, creating a trustless environment.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Developers, AI teams, and enterprises that need scalable, cost-efficient GPU compute for training, inference, and high-performance workloads without relying on centralized cloud providers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.99 per hour
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Charg
United States
charg.cloud/

Company Information

OpenGPU
Founded: 2024
United States
opengpu.network/

Alternatives

Lambda

Lambda

Lambda.ai

Alternatives

Targon

Targon

Manifold Labs

Categories

Categories

Integrations

Amazon Web Services (AWS)
Google Cloud Platform

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Claim Charg and update features and information
Claim Charg and update features and information
Claim OpenGPU and update features and information
Claim OpenGPU and update features and information