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nvalchemi-data-storage

Official

Persist and batch atomic data with Zarr.

Data & Analytics#gpu#dataloader#dataset#zarr#data-storage#nvalchemi#atomic-data
AuthorNVIDIA
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill demonstrates how to write, read, and load atomic data using nvalchemi's composable Zarr-backed storage pipeline (Writer, Reader, Dataset, DataLoader).

Core Features & Use Cases

  • End-to-end persistence: write AtomicData/Batch to a Zarr store and read back for processing.
  • Modular pipeline: Writer, Reader, Dataset, and DataLoader compose a scalable data workflow.
  • GPU-friendly data access: supports device transfer, prefetching, and batched iteration for training and evaluation.

Quick Start

Write a few AtomicData objects to a dataset.zarr and then read them back through a Dataset and DataLoader to train a model.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: nvalchemi-data-storage
Download link: https://github.com/NVIDIA/nvalchemi-toolkit/archive/main.zip#nvalchemi-data-storage

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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