Cloudera AI (formerly Verta)

Cloudera AI (formerly Verta)

Verta was an operational AI platform for model management, serving, and governance. Cloudera acquired Verta in June 2024, and verta.ai now redirects to Cloudera AI, the company's enterprise machine learning and generative AI platform.

Cloudera AI covers the full AI lifecycle on hybrid and multi-cloud infrastructure. It includes AI Workbench for collaborative development, AI Inference for deploying LLMs and agents, AI Studios for low-code GenAI apps, and AI Assistants for traceable enterprise chatbots. Verta's GenAI workbench, model catalog, and governance tools now power these capabilities.

The platform targets enterprise teams building RAG chatbots, fine-tuned domain LLMs, synthetic data pipelines, and multi-agent workflows. Pricing is consumption-based through Cloudera Compute Units on cloud or annual subscriptions on premises.

Top Features:
  1. Build and deploy GenAI apps with AI Studios for RAG, fine-tuning, synthetic data, and agents

  2. Serve LLMs and traditional models through Cloudera AI Inference at scale

  3. Manage models across the ML lifecycle with catalog, governance, and observability tools

  4. Run on hybrid and multi-cloud infrastructure with unified data lakehouse access

  5. Switch between low-code studios and full Python SDK workflows in AI Workbench

Pros:
  1. End-to-end enterprise platform spanning data, ML, and GenAI on hybrid cloud.

  2. Verta's model catalog and governance capabilities integrated into a mature data platform.

  3. Low-code AI Studios lower the barrier for RAG, fine-tuning, and agent workflows.

Cons:
  1. Enterprise pricing with CCU-based billing may be costly for small teams.

  2. Standalone Verta product no longer available; requires Cloudera platform adoption.

FAQs:

What happened to Verta?

Cloudera acquired Verta's Operational AI Platform in June 2024. The Verta team joined Cloudera's machine learning group, and verta.ai now redirects to Cloudera AI.

What is Cloudera AI?

Cloudera AI is an enterprise platform for building, scaling, and securing AI applications. It includes AI Workbench, AI Inference, AI Studios, and AI Assistants for the full ML and GenAI lifecycle.

What are Cloudera AI Studios?

AI Studios provide low-code to full-code environments for GenAI use cases, including Synthetic Data Studio, RAG Studio, Fine Tuning Studio, and Agent Studio.

How is Cloudera AI priced?

Cloud services are billed per Cloudera Compute Unit (CCU). AI Workbench costs $0.20 per CCU hourly and AI Inference costs $0.25 per CCU hourly. On-premises pricing requires contacting sales.

Does Cloudera AI support RAG applications?

Yes. RAG Studio lets teams build enterprise chatbots that connect foundation models to organizational documents with hybrid reranking, monitoring, and compliance controls.

Is free training available?

Cloudera offers free training courses for building AI applications with Cloudera AI, including a course on Cloudera AI for application development.

Category:

Pricing:

Paid

Tags:

enterprise AI
MLOps
generative AI
model governance
RAG
LLM deployment
hybrid cloud

Tech used:

jQuery
Google Analytics
Segment
Tailwind CSS
GitHub
Styled Components
Ruby

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