ParallelM Blog ParallelM Solves Real-World Machine-Learning Deployment Challenge with Kubernetes Autoscaling REST Endpoint

SUNNYVALE, Calif., February 26, 2019 -ParallelM, the leader in MLOps, today released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling infrastructure for model serving supporting the leading modeling frameworks. With this release, data scientists can quickly create robust autoscaling REST services for their machine learning models to ... Continue reading "ParallelM Solves Real-World Machine-Learning Deployment Challenge with Kubernetes Autoscaling REST Endpoint"The post ParallelM Solves Real-World Machine-Learning Deployment Challenge with Kubernetes Autoscaling REST Endpoint appeared first on ParallelM.