NeMo Data Designer
NeMo Data Designer is NVIDIA’s open-source system for generating synthetic datasets.
What NeMo Data Designer is
NeMo Data Designer is NVIDIA’s open-source system for generating synthetic datasets. Users configure columns and models, preview samples, and create a dataset while the framework handles batching, parallelism, validation, statistical diversity, field correlations, and reproducible workflows. It supports tabular data, text, code, structured JSON, images, and embeddings, with CSV, JSON, JSONL, and Parquet outputs. The system is available as a Python library or as a NeMo Microservice with REST methods for preview and creation. Documented LLM endpoints include NVIDIA API Catalog, OpenAI, Azure OpenAI, Anthropic, vLLM, TGI, TensorRT-LLM, and OpenAI-compatible servers. NeMo integrations include Inference Microservices, Customizer, and Evaluator. The default SECURE Jinja renderer provides sandboxing, context sanitization, template restrictions, and output guards. Data Designer does not host models, so users provide endpoints and inference capacity. The hosted free trial requires an API key and allows up to 100 records per job.
Good
- Open-source Python library
- REST preview and create methods
- Multiple LLM endpoint options
- Validation and reproducible workflows
- CSV, JSON, JSONL, and Parquet output
Watch out
- Users must provide LLM endpoints
- Users must provision inference capacity
- Hosted trial requires an API key
- Hosted jobs allow up to 100 records
Who it suits
It suits developers with LLM access seeking customizable synthetic-data workflows, and teams already using NeMo Microservices.
Verdict
NeMo Data Designer offers flexible synthetic-data generation across library and microservice deployments. Its requirement for external model endpoints makes infrastructure planning part of adoption.
Plans and prices
From NeMo Data Designer's own pricing page, checked 5 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| NeMo Data Designer free trial | Free | API key required · up to 100 records per job |
The facts
Each one read from NeMo Data Designer's own pages, with the date it was checked.
What it does
- 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.checked 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.checked 5 Oct 2026
- Generation
- The framework handles batching, parallelism, validation, statistical diversity, field correlations, and reproducible workflows.checked 5 Oct 2026
- Hosting requirement
- Data Designer does not host models; users must provide LLM endpoints and provision inference capacity.checked 5 Oct 2026
- Integrations
- Documented LLM endpoints include NVIDIA API Catalog, OpenAI, Azure OpenAI, Anthropic, vLLM, TGI, TensorRT-LLM, and OpenAI-compatible servers.checked 5 Oct 2026
- NeMo integrations
- The microservice integrates with NeMo Inference Microservices, NeMo Customizer, and NeMo Evaluator.checked 5 Oct 2026
- Output
- The hosted walkthrough shows preview results available as a Pandas DataFrame.checked 5 Oct 2026
- Purpose
- NeMo Data Designer is a compound AI system for synthetic data generation.checked 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.checked 5 Oct 2026
- Workflow
- Users configure columns and models, preview samples, then create a dataset.checked 5 Oct 2026
The company
- Founded
- 1993checked 28 Sep 2026
- Headquarters
- Santa Clara, California, USAchecked 28 Sep 2026
Money
- Hosted trial limit
- The hosted product page says jobs default to 10 records and allow up to 100 records per job.checked 5 Oct 2026
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