NeMo Data Designer

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Every plan, in full

On the record

Audience

The open-source library is positioned for developers with LLM access who want flexibility and customization, while the microservice is for teams using NeMo Microservices.docs.nvidia.com · read 5 Oct 2026

Deployment

It is available as an open-source Python library and as a NeMo Microservice with REST API preview and create methods.docs.nvidia.com · read 5 Oct 2026

Generation

The framework handles batching, parallelism, validation, statistical diversity, field correlations, and reproducible workflows.docs.nvidia.com · read 5 Oct 2026

Hosted trial limit

The hosted product page says jobs default to 10 records and allow up to 100 records per job.build.nvidia.com · read 5 Oct 2026

Hosting requirement

Data Designer does not host models; users must provide LLM endpoints and provision inference capacity.docs.nvidia.com · read 5 Oct 2026

Integrations

Documented LLM endpoints include NVIDIA API Catalog, OpenAI, Azure OpenAI, Anthropic, vLLM, TGI, TensorRT-LLM, and OpenAI-compatible servers.docs.nvidia.com · read 5 Oct 2026

NeMo integrations

The microservice integrates with NeMo Inference Microservices, NeMo Customizer, and NeMo Evaluator.docs.nvidia.com · read 5 Oct 2026

Output

The hosted walkthrough shows preview results available as a Pandas DataFrame.build.nvidia.com · read 5 Oct 2026

Purpose

NeMo Data Designer is a compound AI system for synthetic data generation.build.nvidia.com · read 5 Oct 2026

Security

The SECURE Jinja renderer is the default and adds a hardened sandbox, JSON-compatible context sanitization, template restrictions, and output guards.docs.nvidia.com · read 5 Oct 2026

Workflow

Users configure columns and models, preview samples, then create a dataset.docs.nvidia.com · read 5 Oct 2026

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