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aistoreOpen-source storage for large-scale AI training and inference

aistore is an open-source storage system from NVIDIA, built for large-scale AI training and inference. It offers both object storage and file system interfaces, scaling up to hundreds of petabytes, and integrates deeply with popular AI frameworks to eliminate data bottlenecks. The project is primarily written in Go and released under the MIT license. As of the collection time, it has 1881 stars on GitHub. This article covers its core architecture, typical use cases, and practical tips for getting started.

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Project Overview

aistore is an open-source storage system from NVIDIA, built for large-scale AI training and inference. It offers both object storage and file system interfaces, scaling up to hundreds of petabytes, and integrates deeply with popular AI frameworks to eliminate data bottlenecks. The project is primarily written in Go and released under the MIT license. As of the collection time, it has 1881 stars on GitHub. This article covers its core architecture, typical use cases, and practical tips for getting started.

Project Overview

aistore is an open-source storage system by NVIDIA, designed from the ground up for large-scale AI training and inference. It provides both object storage and file system interfaces, enabling effortless scaling to hundreds of petabytes.

Core Features

  • Object storage and file system interfaces
  • Scalable up to hundreds of petabytes
  • Deep integration with popular AI frameworks

Technology Stack and License

The project is primarily written in Go and licensed under the MIT License.

Development Status

As of the collection time, it has 1881 stars on GitHub.

Getting Started

For core architecture, typical use cases, and practical tips, refer to the project README.

AI storageNVIDIA open sourcescalable storagedistributed storageAI trainingdata loadingobject storagePOSIXcheckpointhybrid cloudRDMAdata transformation

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Frequently Asked Questions

What is aistore: Open-source storage for large-scale AI training and inference?

aistore is an open-source storage system from NVIDIA, built for large-scale AI training and inference. It offers both object storage and file system interfaces, scaling up to hundreds of petabytes, and integrates deeply with popular AI frameworks to eliminate data bottlenecks. The project is primarily written in Go and released under the MIT license. As of the collection time, it has 1881 stars on GitHub. This article covers its core architecture, typical use cases, and practical tips for getting started.

What language is aistore: Open-source storage for large-scale AI training and inference written in?

aistore: Open-source storage for large-scale AI training and inference is primarily written in Go.

What license is aistore: Open-source storage for large-scale AI training and inference under?

aistore: Open-source storage for large-scale AI training and inference is released under the MIT license.

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