Concrete ML
WebsiteLibrariesProducts & ServicesDevelopersSupport
0.2
0.2
  • What is Concrete ML?
  • Installing
    • Installing
  • How To
    • Scikit-learn
    • Torch
    • Compute with Quantized Functions
    • Use Concrete ML ONNX Support
    • Debug / Get Support / Submit Issues
  • Advanced examples
    • Advanced examples
  • Explanations
    • Philosophy of the Design
    • Quantization
    • Pruning
    • Virtual Lib
    • Resources
  • Developper How To
    • Set Up the Project
    • Set Up Docker
    • Document
    • Create a Release on GitHub
    • Contribute
  • Developper Explanations
    • Concrete Stack
    • Quantization
    • Using ONNX as IR for FHE Compilation
    • Hummingbird Usage
    • Skorch Usage
  • API
    • API
Powered by GitBook

Libraries

  • TFHE-rs
  • Concrete
  • Concrete ML
  • fhEVM

Developers

  • Blog
  • Documentation
  • Github
  • FHE resources

Company

  • About
  • Introduction to FHE
  • Media
  • Careers
On this page

Was this helpful?

Export as PDF
  1. Developper Explanations

Concrete Stack

PreviousContributeNextQuantization

Last updated 2 years ago

Was this helpful?

Concrete-ML is built on top of Zama’s Concrete stack. It uses , which itself uses the .

The Concrete-Compiler takes MLIR code as input representing a computation circuit and compiles it to an executable using Concrete primitives to perform the computations.

We refer the reader to Concrete-Numpy and, more generally, to the documentation of the whole Concrete-Framework for .

Concrete-Numpy
Concrete-Compiler
documentation
more information