FLARE 2.9 adds Slurm support to Docker and Kubernetes deployments

NVIDIA FLARE 2.8 supports Docker and Kubernetes deployment, and FLARE 2.9 adds Slurm support, extending its existing compatibility with Docker and Kubernetes to allow federated learning projects to span sites with diverse infrastructure. The update addresses a key challenge for collaborative studies: operating shared infrastructure as projects scale beyond a single server and dataset. FLARE’s two-layer architecture specifically separates persistent federation services from job execution, meaning organizations don’t need to standardize infrastructure to participate. This allows each site to utilize its preferred execution backend, Docker, Kubernetes, or Slurm, while retaining local control over data and compute policies. FLARE 2.9 Integrates Slurm with Docker and Kubernetes NVIDIA FLARE 2. This addition addresses a critical hurdle in scaling federated learning beyond initial, simplified setups, where a single server and limited datasets at each location were sufficient. As projects mature and incorporate more participants, the need for flexible infrastructure management becomes paramount, and FLARE’s architecture is designed to accommodate this growth without mandating platform standardization. The core of this expanded capability…