add Prime

README.md

@@ -737,6 +737,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
 * [Nos](https://github.com/nebuly-ai/nos) ![](https://img.shields.io/github/stars/nebuly-ai/nos.svg?style=social) - Nos is an open-source platform to efficiently run AI workloads on Kubernetes, increasing GPU utilization and reducing infrastructure and operational costs.
 * [NVIDIA TensorRT](https://github.com/NVIDIA/TensorRT) ![](https://img.shields.io/github/stars/NVIDIA/TensorRT.svg?style=social) - TensorRT is a C++ library for high-performance inference on NVIDIA GPUs and deep learning accelerators.
 * [Open Platform for AI](https://github.com/Microsoft/pai) ![](https://img.shields.io/github/stars/Microsoft/pai.svg?style=social) - Platform that provides complete AI model training and resource management capabilities.
+* [Prime](https://github.com/PrimeIntellect-ai/prime) ![](https://img.shields.io/github/stars/PrimeIntellect-ai/prime.svg?style=social) - Prime is a framework for efficient, globally distributed training of AI models over the internet.
 * [PyCaret](https://github.com/pycaret/pycaret) ![](https://img.shields.io/github/stars/pycaret/pycaret.svg?style=social)) - low-code library for training and deploying models (scikit-learn, XGBoost, LightGBM, spaCy)
 * [Sematic](https://github.com/sematic-ai/sematic) ![](https://img.shields.io/github/stars/sematic-ai/sematic.svg?style=social) - Platform to build resource-intensive pipelines with simple Python.
 * [Skaffold](https://github.com/GoogleContainerTools/skaffold) ![](https://img.shields.io/github/stars/GoogleContainerTools/skaffold.svg?style=social) - Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters.