---
description: "Comprehensive technical reference for NeMo Curator APIs, infrastructure components, and integration tools"
categories: ["reference"]
tags: ["python-api", "infrastructure", "integrations-apis", "distributed", "gpu-accelerated"]
personas: ["mle-focused", "data-scientist-focused", "admin-focused"]
difficulty: "reference"
content_type: "reference"
modality: "universal"
---

# References

NeMo Curator's reference documentation provides comprehensive technical details, API references, and integration information to help you maximize your NeMo Curator implementation. Use these resources to understand the technical foundation of NeMo Curator and integrate it with other tools and systems.

## API Quicklinks

Browse the generated [Python API reference](/api/reference/api-reference) for NeMo Curator modules, or use the **API Reference** tab for curated overviews of pipelines, stages, tasks, and executors.

## Infrastructure Components

Explore the foundational infrastructure that powers NeMo Curator. Learn how to scale, optimize, and manage large data workflows efficiently.

<Cards>

<Card title="Memory Management" href="/reference/infra/memory-management">
Optimize memory usage when processing large datasets
partitioning
batching
monitoring
</Card>

<Card title="GPU Acceleration" href="/reference/infra/gpu-processing">
Leverage NVIDIA GPUs for faster data processing
cuda
rmm
performance
</Card>

<Card title="Resumable Processing" href="/reference/infra/resumable-processing">
Continue interrupted operations across large datasets
checkpoints
recovery
batching
</Card>

</Cards>

## Integration & Tools

Discover related tools and integrations in the NVIDIA AI ecosystem that complement NeMo Curator, enabling seamless workflows from data curation to model training and deployment.

<Cards>

<Card title="Related Tools" href="/reference/related-tools">
Learn about complementary tools in the NVIDIA ecosystem
nemo-framework
triton-server
tao-toolkit
</Card>

</Cards>
