Services providing free GPUs for research

There are several platforms and services that offer free access to GPUs for research purposes. Here are a few options you can explore:

1. Google Colab: Google Colab is a free cloud-based platform that provides access to GPUs. It allows you to run Jupyter notebooks in the cloud and provides limited access to GPUs for free. You can use Colab to perform GPU-accelerated research and development tasks.
2. Kaggle Kernels: Kaggle is a data science platform that hosts machine learning competitions and provides a collaborative environment for data scientists. Kaggle Kernels allow you to run code, including GPU-accelerated code, in the cloud. While not unlimited, you can access free GPU resources for your research projects.
3. IBM Watson Studio: IBM Watson Studio is an AI and data science platform that offers a free tier. With the free tier, you can access GPU resources for your research projects. Watson Studio provides a collaborative environment with tools and libraries for AI development.
4. FloydHub: FloydHub is a platform that provides GPU resources for deep learning projects. While it offers paid plans, it also offers limited free GPU resources for open-source projects. You can apply for free GPU credits through their Open Source Sponsorship program.
5. Paperspace Gradient Community Notebooks: Paperspace Gradient offers a community edition that provides limited access to GPUs for research and development. You can use their Jupyter notebooks with GPU acceleration for your projects.

Remember that the availability and limitations of free GPU resources can vary across these platforms. Some platforms may have usage restrictions, time limits, or limited GPU memory. Additionally, the free access may be subject to availability and may require approval or application. It’s important to review the terms and conditions of each platform and understand their limitations before starting your research.