Hi Kubeflow Community,
I am happy to share that Kubeflow Trainer has officially joined the PyTorch Ecosystem 🚀
Since its inception in 2017, this project has focused on native integration between ML frameworks and Kubernetes, providing a strong foundation for cloud native distributed training.
Joining the PyTorch Ecosystem is a major milestone for us, reflecting our commitment to deeper collaboration between the AI and Cloud communities.
It ensures that Kubeflow Trainer aligns with PyTorch’s standards and best practices—providing AI practitioners a reliable, scalable, and community-supported solution for running PyTorch on Kubernetes.
We’re also proud that Kubeflow Trainer is the first CNCF project integrated into the PyTorch Ecosystem: https://landscape.pytorch.org/
➡️ Check out the PyTorch announcement blog post: https://pytorch.org/blog/pytorch-on-kubernetes-kubeflow-trainer-joins-the-pytorch-ecosystem/
Right now is the best time to get involved - whether it’s contributing to development or joining our Kubeflow Trainer community calls and #kubeflow-trainer Slack channel.