GitHub - Layr-Labs/d-inference: Private Inference Network on Idle Macs

Darkbloom Explained

A plain language guide to Darkbloom a private AI inference network that utilizes idle Apple Silicon Mac computing power.

EXO — Run frontier AI locally.

EXO connects your Macs and workstations into one local inference cluster. Run frontier AI locally.

Local and Distributed Large LLM Inference with MLX and RDMA on Mac Studio

MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private…

Gajesh on Twitter / X

TL;DRapple has turn on this switch for everyone to participate in decentralized inferenceppl can rent out their unused compute space and anyone can use this with privacy guarantees https://t.co/LTP4zyjsdt pic.twitter.com/8Dvo7XK8jJ— Gajesh (@gajesh) February 18, 2026

Darkbloom — Cost-Efficient Private AI Inference on Verified Macs

Encrypted inference on hardware-verified Apple Silicon. Comparable model performance, operator-blind privacy, and about 50% lower cost.

Darkbloom — Cost-Efficient Private AI Inference on Verified Macs

Encrypted inference on hardware-verified Apple Silicon. Comparable model performance, operator-blind privacy, and about 50% lower cost.

Darkbloom — Cost-Efficient Private AI Inference on Verified Macs

Encrypted inference on hardware-verified Apple Silicon. Comparable model performance, operator-blind privacy, and about 50% lower cost.

openpcc/openpcc

An open-source framework for verifiably private AI inference

GitHub - prathyvsh/networked-notebooks: Hyperlinked notebooks

Hyperlinked notebooks. Contribute to prathyvsh/networked-notebooks development by creating an account on GitHub.

Mount Thor — AI Execution Environments on Apple Hardware

Managed macOS environments for AI workloads that require native desktop access, persistent state, or model inference on Apple silicon.

docs/models.md at main

docs - Public documentation for the Inference Cooperative

oMLX — LLM inference, optimized for your Mac

Native macOS inference server built on MLX with paged SSD KV caching for Apple Silicon.

co/core · 5.0 ★ | at-store

co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other. Tag: Developer.

Introducing Hybrid Compute on Mac

Perplexity Computer uses cloud AI and local models on Mac, keeping sensitive files and information on the device.

Argmax - Foundation Models On Device

Run private, real-time, and predictable inference workloads directly on users' devices.

jennings/jj-spr

The power tool for Jujutsu + GitHub workflows. Adapted from spr by @LucioFranco.