With cnvrg.io and NetApp joint solution, datasets are ready to be used in seconds rather than hours. The solution improves sharing and collaboration for data science teams with cnvrg.io’s cached dataset capability that can be authorized and used by multiple teams in the same compute cluster connected to the NetApp cached data. Organizations using NetApp and cnvrg.io are able to reduce cost as machine learning models pull datasets from the cache, and not from remote storage, which may require payments per download. As a hybrid cloud solution dataset caching can present the on-premises mirror storage for the data lake residing in the cloud.
Automate your machine learning Kubernetes infrastructure with a unique architecture that allows IT and engineers to attach different compute resources to one unified control plane, and manage ML jobs across all resources. Attach multiple on-premises Kubernetes clusters, VM servers, and cloud accounts and run ML workloads on all resources.
