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ZenML is an MLOps framework that helps machine learning engineers and data scientists build, deploy, and manage ML models and large language models (LLMs) in production. It emphasizes backend flexibility, scalability across various cloud environments, and automated tracking for reproducible ML workflows. ZenML aims to streamline the operational aspects of machine learning development.

Features
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Pricing
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Basic

$25.00 monthly
  • 1 workspace
  • 1 project
  • 1 pipeline
  • 1 model
  • 30 pipeline runs/month
  • Cloud-only deployment
  • Basic Authentication
  • Community Technical Support
  • Self-service Implementation

Scale

Custom
  • Custom workspaces
  • Custom projects
  • Custom pipelines
  • Custom models
  • Custom pipeline runs/month
  • Cloud, On-prem, BYOC Deployment
  • SSO with SAML/OIDC Authentication
  • Service Accounts Included
  • Advanced Compliance
  • Dedicated manager Technical Support
  • Custom Onboarding Implementation
Rationale

ZenML is an MLOps framework designed for machine learning engineers and data scientists to manage and deploy ML models and LLMs. It focuses on backend flexibility, scalability, and reproducibility of ML workflows. It does not offer a web-based platform with specialized AI tools for content creation via guided forms, nor does it provide built-in presets for creative outputs. Its target audience and core functionality are entirely different from the described concept of 'Word.Studio AI Playground'.

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