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opencsghq/csghub-xnet

By opencsghq

•Updated 25 days ago

High-performance AI storage: fine-grained access, caching, parallel transfer and Git LFS compatible.

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Machine learning & AI
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1.8K

opencsghq/csghub-xnet repository overview

⁠xet-core Server

xet-core is a high-performance Go backend server designed for modern AI/ML storage workloads. It provides a robust, secure, and scalable storage foundation for managing large-scale model files, datasets, and unstructured data.

⁠Key Features

  • Content-Addressed Storage (CAS): Each data chunk is identified by its SHA-256 hash, ensuring immutability, automatic integrity verification, and built-in deduplication for storage efficiency.

  • Merkle Tree Integrity: Files composed of multiple chunks are verified via Merkle trees, enabling efficient full-file validation and partial verification without downloading entire files.

  • FoundationDB Backend: Uses FoundationDB as the underlying distributed key-value store, providing strong consistency, high availability, and horizontal scalability.

  • Security: All data is encrypted in transit via TLS, with strict authentication and authorization controls. Regular background audits proactively detect data corruption.

  • Durability: Supports replication and erasure coding strategies to protect against data loss and ensure high availability across geographically distributed nodes.

  • Monitoring: Integrated monitoring and alerting tracks node health, operation success rates, and audit results for rapid issue detection and resolution.

Tag summary

Content type

Image

Digest

sha256:86ea22f49…

Size

108.2 MB

Last updated

25 days ago

docker pull opencsghq/csghub-xnet:v2.5.0-ee