# Cloudera AI Workbench

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Build, experiment, and deploy private AI—from traditional ML to generative and agentic AI—anywhere, while retaining full control of your data and models.

[Tour Cloudera AI](https://www.cloudera.com/products/machine-learning/cdp-tour-machine-learning.html)

## Unified, governed AI development for modern enterprises

Cloudera AI Workbench brings secure, collaborative AI development to the enterprise—accelerating model building, fine-tuning, and deployment across hybrid or multi-cloud environments.

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Develop, train, and fine-tune models on governed enterprise data—anywhere—while ensuring compliance and security with [Cloudera Shared Data Experience (SDX)](https://www.cloudera.com/products/cloudera-data-platform/sdx.html).

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Accelerate use-case delivery with ready-to-run [AMPs](https://docs.cloudera.com/machine-learning/cloud/applied-ml-prototypes/topics/ml-amps-overview.html), powerful notebooks, and [AI Studios](https://www.cloudera.com/products/machine-learning/ai-studios.html) for synthetic data, fine-tuning, RAG, and multi-agent workflows.

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Deploy and scale AI applications and agents securely, keeping data, models, and infrastructure under your control—no matter where you operate.

## Key features

### Streamline project creation, prototyping, and data exploration for enterprise AI.

Kickstart new AI projects, deploy prototypes, and accelerate data science—all from a unified workspace designed for secure, governed, and collaborative enterprise development.

#### Scale-out compute
Dynamically scale compute resources across clouds or on premises to match any workload. Ensure high availability, performance, and cost efficiency for interactive development, model training, and large-scale AI deployments.

#### Flexible custom editors
Work in your preferred environment—Jupyter, VS Code, or RStudio—in a browser or on your laptop. Support for custom editors enables every team to use their favorite tools for code and collaboration.

#### Project launchpad
Quickly create new projects or import existing code, enabling seamless onboarding and structured collaboration for distributed enterprise teams.

#### Collaborative notebooks
Spin up, share, and manage notebooks to analyze data, develop models, and document workflows—within a secure, scalable environment.

#### Custom machine learning runtimes
Launch isolated, containerized sessions for Python, R, Scala, Spark, GPU, and more. Bring your own libraries and environments to truly enable any enterprise data science workflow.

#### Advanced data visualization
Visualize, analyze, and share data with built-in and extensible visualization tools. Empower teams to quickly uncover insights, validate results, and communicate findings—securely and collaboratively.

#### Prototype deployment
Deploy ML prototypes in minutes using pre-built accelerators, helping teams iterate faster and validate AI use cases at scale.

#### Visual data insights
Explore and visualize data with integrated SQL, dashboards, and no-code tools to uncover insights and communicate findings across your organization.

## Get engaged

### Analyst Report
The Future of Enterprise AI Agents

### Analyst Report
The State of Enterprise AI and Data Architecture

### Webinar
7-part Webinar Series: Accelerate Enterprise & Agentic AI

### Webinar
A Leader's Fireside Chat about Securing Next-Gen AI

### Take the next step
Dive into the technical details to understand the powerful capabilities of Cloudera AI Workbench.

#### Product tour

Take a step-by-step tour of the Cloudera AI environment.

[Start a tour now](https://www.cloudera.com/products/machine-learning/cdp-tour-machine-learning.html)

#### Cloudera AI Workbench documentation

Learn the ins and outs of Cloudera AI Workbench, starting with provisioning.

[Go to documentation](https://docs.cloudera.com/machine-learning/cloud/workspaces/topics/ml-provision-workspaces.html)

## Explore more products

- [AI Inference service](https://www.cloudera.com/products/machine-learning/ai-inference-service.html): Deploy and scale private AI applications, agents, and assistants with unmatched speed, security, and efficiency.
- [AI Studios](https://www.cloudera.com/products/machine-learning/ai-studios.html): Unlock private generative AI and agentic workflows for any skill level, with low-code speed and full-code control.
- [AMPs](https://cloudera.github.io/Applied-ML-Prototypes/#/cloudera): Explore the end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly.
- [AI Assistants](https://www.cloudera.com/products/machine-learning/ai-assistants.html): Bring the power of AI to your business securely and at scale, ensuring every insight is traceable, explainable, and trusted.