# Cloudera AI

> Enterprise platform for building, deploying, and governing traditional, generative, and agentic AI across hybrid cloud and on-premises data.

Cloudera AI is Cloudera's enterprise AI offering for building, deploying, and governing traditional machine learning, generative AI, and agentic AI across cloud and on-premises environments. It combines a data science workbench, no-code and low-code studios, prebuilt project accelerators, embedded assistants, and a model inference service.

## What It Is

Cloudera AI is a hybrid AI development and serving environment aimed at enterprises that want to keep data, prompts, and models private and governed. Cloudera describes it as supporting the full AI lifecycle, from idea to deployment, with low-code to full-code flexibility.

## Core Components

- **AI Workbench:** supports data exploration, data science, model training, fine-tuning, and integration with local editors or hosted notebooks, with governed access to data and compute.
- **AI Studios:** a path for building GenAI applications and agents at varying skill levels.
- **Accelerators for Machine Learning Projects (AMPs):** reference solutions for common ML and AI use cases that can be adapted to specific requirements.
- **AI Assistants:** embedded GenAI tools for the data and AI lifecycle.
- **AI Inference service:** deploys and manages models with autoscaling, monitoring, and governance, including support for NVIDIA NIM-optimized LLMs.

## Deployment and Governance

Cloudera AI can run on cloud (multi-cloud) or on premises. According to Cloudera, on-cloud deployments integrate with Cloudera Data Engineering and Data Warehouse, while on-premises deployments offer workload isolation and multi-tenancy. The vendor positions policy, security, and lifecycle controls as applying across the AI stack, with an emphasis on private AI.

## Features
- AI Workbench for data science, training, and fine-tuning
- AI Studios for low-code and full-code GenAI and agent development
- Accelerators for Machine Learning Projects (AMPs)
- AI Assistants
- AI Inference service with autoscaling and monitoring
- NVIDIA NIM support
- Governed, private AI workflows
- Multi-cloud and on-premises deployment

## Integrations
NVIDIA NIM, Cloudera Data Engineering, Cloudera Data Warehouse, Apache Iceberg

## Platforms
WEB, API

## Pricing
Paid

## Links
- Website: https://www.cloudera.com/products/machine-learning.html
- Documentation: https://docs.cloudera.com/machine-learning/cloud/index.html
- EveryDev.ai: https://www.everydev.ai/tools/cloudera-ai