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> Technical reference for NeMo Curator's infrastructure components including distributed computing, memory management, and GPU acceleration

# Infrastructure References

This section provides technical reference documentation for NeMo Curator's infrastructure components that are used across all modalities (text, image, video).

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## Infrastructure Components

#### [Memory Management](/reference/infra/memory-management)

Optimize memory usage when processing large datasets
partitioning
batching
monitoring

#### [GPU Acceleration](/reference/infra/gpu-processing)

Leverage NVIDIA GPUs for faster data processing
cuda
rmm
performance

#### [Resumable Processing](/reference/infra/resumable-processing)

Continue interrupted operations across large datasets
checkpoints
recovery
batching

#### [Stage Worker Sizing](/reference/infra/stage-worker-sizing)

Configure fixed and autoscaling worker pools across Ray Data, Xenna, and Ray Actor Pool backends
workers
autoscaling
stage-overrides

#### [Container Environments](/reference/infra/container-environments)

Available environments and configurations in NeMo Curator containers. Includes build arguments and video-specific environments.
docker
conda
environments