Business Wire

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

SUNNYVALE, Calif.--(BUSINESS WIRE)--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 ...
dbta

ParallelM Addresses Machine-Learning Deployment Challenge

ParallelM, a provider of machine learning operationalization (MLOps) software, has released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling ...
ZDNet

Apache Spark creators set out to standardize distributed machine learning training, execution, and deployment

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, ...
ZDNet

Alteryx Promote delivers AI/machine learning model deployment, management and integration

According to Ashley Kramer, Alteryx's VP of Product Management, Promote will address this gap by allowing deployment of models, and generation of REST APIs around them, all of which can be invoked ...
InfoWorld

How to deploy machine learning models with AWS Lambda

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
InfoWorld

IBM sets up a machine learning pipeline for z/OS

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience If you’re intrigued by IBM’s Watson AI as a service, ...