How Much VRAM
H
How Much VRAM
Overview :
How Much VRAM is an open-source project aimed at helping users estimate the amount of VRAM their models will require during training or inference. This project enables users to determine the necessary hardware configuration without having to try multiple setups. It is crucial for developers and researchers engaged in deep learning model training, as it reduces the trial-and-error costs of hardware selection and improves efficiency. The project is provided under the MPL-2.0 license and is free to use.
Target Users :
The target audience primarily includes researchers, developers, and students in the field of deep learning who need an accurate estimation of the VRAM requirements for their models to select suitable hardware for training and deployment.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 49.7K
Use Cases
Researchers using this project to estimate the VRAM needs of large-scale neural network models.
Developers assessing the appropriate GPU for model training prior to making a selection.
Students utilizing this tool in their course projects to optimize their hardware usage.
Features
Estimate the VRAM required for model training or inference.
Support a variety of deep learning models and frameworks.
Provide detailed reports on VRAM usage to help users understand memory consumption.
Be an open-source project that allows community contributions and improvements.
Feature a user-friendly interface that is easy to navigate.
Support local development and execution.
How to Use
1. Open the terminal and navigate to the 'Frontend' folder of the project.
2. Run 'npm install .' to install the necessary dependencies.
3. Execute the command 'npm run dev' to start the local server.
4. Follow the prompts to access the specified local host port in your browser, e.g., 'http://localhost:5173/'.
5. Input the model-related information using the interface provided by the project.
6. Obtain the estimated VRAM requirements and configure your hardware accordingly.
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