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GPUx is a web platform for AI developers that offers GPU acceleration for running any dockerized application and the ability to run autoscale inference, with potential cost savings of 50-90%. It is a developer tool that provides pricing plans, resources, and a community for developers.

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GPUx is a web platform that offers GPU acceleration for running any dockerized application. It aims to simplify the deployment of AI and machine learning models by providing a user-friendly interface and advanced tools to help developers optimize their workflow. GPUx also offers the ability to run autoscale inference, which means it can dynamically adjust the number of GPUs being used based on the application’s workload, leading to potential cost savings of 50-90%.

The platform is designed for AI developers who need to run resource-intensive applications such as deep learning, computer vision, and natural language processing. It provides access to high-performance computing resources that can significantly speed up the development process and improve the accuracy of models.

In addition to the technical features, GPUx offers a community forum and a blog section, where developers can learn from each other and stay up-to-date with the latest developments in the field. The website also includes a resources section with tutorials, case studies, and whitepapers.

GPUx provides different pricing plans, including a free tier for individual developers to try out the platform. The pricing plans offer various options for the number of GPUs, RAM, and storage, as well as support levels. The platform provides a privacy policy and terms of service to ensure the security and confidentiality of users’ data.



The pricing for GPUx is based on usage and starts at $0.10 per hour for single GPU instances and $0.20 per hour for multi-GPU instances. There are also prepaid plans available that offer discounts ranging from 10% to 30% depending on the commitment term. Additionally, GPUx offers a free trial period for new users. For more detailed information about pricing, it’s recommended to visit the GPUx website or contact their sales team directly.

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Release Date: 28 March 2023

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Frequently Asked Questions

What kind of tools can I run on GPUx?

GPUx allows you to run any dockerized application on its platform, including popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet.

Can I save costs with GPUx?

Yes, GPUx offers the ability to run autoscale inference, which can lead to potential cost savings of 50-90% compared to traditional cloud computing platforms.

What kind of pricing plans does GPUx offer?

GPUx offers flexible pricing plans based on your specific needs, including pay-as-you-go, subscription-based, and custom enterprise plans.

Does GPUx offer any support or resources?

Yes, GPUx provides a community forum where you can connect with other developers, a blog with AI news and updates, and resources such as tutorials and documentation.

Is GPUx easy to use?

Yes, GPUx is designed to be user-friendly and straightforward, with an intuitive interface and easy-to-follow documentation.

Is there a free trial available?

Yes, GPUx offers a free trial with $200 in credits that can be used for any of their services.

What are the system requirements for using GPUx?

GPUx can be accessed from any modern web browser, and there are no specific hardware requirements for using the platform. However, you will need a GPU to take advantage of the platform’s accelerated computing capabilities.