Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...

ParallelM Solves Real-World Machine-Learning Deployment Challenge with Kubernetes Autoscaling REST Endpoint Low-latency model serving at scale helps data scientists deliver models into production ...

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 ...

New release automatically generates and delivers trained models as portable software functions, on any hardwareSEATTLE, June 22, 2022 /PRNewswire ...

According to Ashley Kramer, Alteryx's VP of Product Management, Promote will address this gap by allowing deployment ... Microsoft's Azure Machine Learning generates a REST-based Web service ...

The Amazon Machine Learning service offers an easy way to do ... AML works with data stored in Amazon S3, Redshift, or RDS, and provides an API set for creating, connecting with, and manipulating ...

IBM is pushing it as a pipeline for building, managing, and running machine learning models through visual tools for each step of the process and RESTful APIs for deployment and management.

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 ...

Available on the GPT store, Monster API’s Agent gives all developers an easy and fast process to fine tune and deploy more than 30 open source models including Llama3, Mistral, SDXL, and Zephyr ...

Like the rest of the tech world, Apple wants to make AI on your mobile device as fast and powerful as possible. That’s why the company unveiled a new machine learning framework API for ...