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Modzy's Approach to Processing Engines and AI Infrastructure Management

Written by @modzy | Published on 2021/7/14

TL;DR
Infrastructure management is one component of managing AI for enterprise scale. Forrester has a widely used definition for ModelOps: the tools, technology, and practices that enable cross-functional AI teams to efficiently deploy, monitor, retrain, and govern AI models in production systems. Modzy uses Kubernetes to manage models, where each model is served as a microservice in a container. This paradigm allows customers to scale horizontally and provide customers with an efficient way of running many inference jobs to one, or many, models in parallel.

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Written by
@modzy
A software platform for organizations and developers to responsibly deploy, monitor, and get value from AI - at scale.

Topics and
tags
modzy|ai-infrastructure-management|processing-engines|model-ops|mlops|challenges-in-deployment-of-ai|ai|good-company
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: zu5vS0dGuha4LZoxWY7zL3F0pQhYPSdFcylbGW30q2k