Ezkl

Visit Tool

ezkl is an AI Agents & Automation tool that enables inference for deep learning models and computational graphs in a zk-snark (ZKML). It can be used from Python, Javascript, or the command line for zero-knowledge inference.

Claim this tool

2Views

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is ezkl?

ezkl is a powerful library and command-line tool designed for performing inference on deep learning models and other computational graphs within a zero-knowledge snark (ZKML) framework. It streamlines the workflow by allowing users to define computational graphs in familiar tools like PyTorch or TensorFlow, export them as .onnx files, and then use ezkl to generate ZK-SNARK circuits. This enables verifiable statements such as proving model execution on private data or verifying public model execution on public data. Built on the Halo2 proof system, ezkl generates proofs that can be verified with minimal computational resources, including on-chain (EVM), in a browser, or on a device. It offers Python bindings, a CLI, and supports GPU acceleration for enhanced performance.

Best used for

Ideal for developers and data scientists who need to perform verifiable inference for deep learning models and computational graphs. Especially valuable for scenarios requiring privacy-preserving AI, such as proving model execution on private data or deploying AI models with verifiable integrity on-chain.

Common actions

perform verifiable inference

generate zero-knowledge proofs

deploy ZKML models

secure AI computations

open-sourcecollaborationautomated workflowdeepfakeworkflowslow-code/no-codeface swappinggithub copilot"AI Agents"

Capabilities

Key features

Zero-knowledge inference
ONNX model export
ZK-SNARK circuit generation
Halo2 proof system
GPU acceleration
Python/CLI interfaces

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What proof system does ezkl utilize for its zero-knowledge snarks?

ezkl leverages the collaboratively-developed Halo2 proof system in its backend. This system enables the generation of proofs that can be verified efficiently across various platforms, including on-chain environments like the Ethereum Virtual Machine, web browsers, or other devices.

Can ezkl be used with existing deep learning models?

Yes, ezkl is designed to integrate with models defined in popular frameworks like PyTorch or TensorFlow. Users can export their computational graphs as .onnx files, which ezkl then uses to generate the necessary ZK-SNARK circuits for inference.

Does ezkl support GPU acceleration for faster inference?

Yes, ezkl supports GPU acceleration. If you have NVIDIA GPUs, you can enable this feature by building with the 'icicle' feature and setting the 'ENABLE_ICICLE_GPU=true' environment variable, significantly speeding up the inference process.

Trending

Subcategories trending in AI Agents & Automation

AI Frameworks & Infra Chatbots & Conversational AI Workflow Agents Personal Assistants RAG & Document AI Voice Agents

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce