Lucid3.0
Lucid 3.0 — Now available

Production ML
for Apple Silicon

MLX + Accelerate native backend. PyTorch-compatible API. Zero third-party dependencies in the compute path.

Get StartedAPI Reference
$pip install lucid
Python 3.14+

Built for the hardware

Every layer of the stack is optimized for Apple Silicon's unified memory architecture.

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MLX Native GPU

Metal-accelerated compute on every forward and backward pass. No CUDA, no compromise — purpose-built for Apple Silicon.

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Accelerate CPU Kernels

vDSP, vForce, and BLAS/LAPACK from Apple's Accelerate framework power the CPU stream. Zero third-party dependencies.

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PyTorch-compatible API

Familiar interface — nn.Module, autograd, optim, DataLoader — so you can focus on the model, not the framework.

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314 Top-level Ops

Comprehensive operator coverage: linalg, fft, einops, distributions, signal, special math, and more.