Safetensors Joins PyTorch Foundation to Strengthen AI Model Security

Announced in a press release, the PyTorch Foundation has welcomed Safetensors as its newest project under the Linux Foundation. Developed by Hugging Face, Safetensors enhances the security of AI model distribution by preventing arbitrary code execution and improving performance across multi-GPU and multi-node deployments.

Safetensors is a widely used tensor serialization format within the open source machine learning ecosystem. Its integration into the Foundation's portfolio addresses security risks associated with model sharing and execution. The format acts as a table of contents for AI model data, ensuring that models can be exchanged safely without enabling untrusted code execution.

The addition of Safetensors expands the PyTorch Foundation’s suite of open source projects, which includes DeepSpeed, Helion, PyTorch, Ray, and vLLM. The Foundation stated that this move supports the development of secure, high-performance AI systems and aligns with its goal of providing trusted infrastructure for open source AI development.