nesaorg/nesa
Encrypted inference platform that runs AI models (LLMs, diffusion) with zero data visibility for the provider.
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Nesa enables running AI models with end-to-end encryption, providing privacy guarantees comparable to on-prem infrastructure through an API. The platform supports various model architectures including Llama, Mistral, and Stable Diffusion. Users can execute inference on encrypted data without exposing raw inputs or outputs to the service provider.
Frequently asked
- What is nesaorg/nesa?
- Encrypted inference platform that runs AI models (LLMs, diffusion) with zero data visibility for the provider.
- Is nesa open source?
- Yes — nesaorg/nesa is an open-source project tracked on heatdrop.
- What language is nesa written in?
- nesaorg/nesa is primarily written in Python.
- How popular is nesa?
- nesaorg/nesa has 3.2k stars on GitHub.
- Where can I find nesa?
- nesaorg/nesa is on GitHub at https://github.com/nesaorg/nesa.