SUNNYVALE, Calif.--(BUSINESS WIRE)--lt;a href="https://twitter.com/hashtag/AI?src=hash" target="_blank"gt;#AIlt;/agt;--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 better serve real-time applications in the cloud or on-premise. "After working with advanced customers in t