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AI Infrastructure🔴Developer
E

exo (Exo Labs)

Open-source tool that turns your Macs and workstations into a single distributed local LLM inference cluster.

Starting atFree
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💡

In Plain English

Open-source tool that turns your Macs and workstations into a single distributed local LLM inference cluster.

OverviewFeaturesPricingUse CasesFAQ

Overview

exo is an open-source project from Exo Labs that lets you run frontier-scale AI models entirely locally by stitching together the memory and compute of every Mac, workstation, or device on your network into one distributed inference cluster. Where a single laptop can comfortably run an 8B or 14B model, exo's peer-to-peer runtime can spread a Llama-3 70B, DeepSeek-V3, or Qwen 32B model across several Apple Silicon Macs connected by Thunderbolt or local network, and serve it through APIs that drop in for OpenAI, Anthropic, and HuggingFace clients.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Open Source

Free

    Exo Pro / Enterprise

    Custom

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      Best Use Cases

      🎯

      Privacy-preserving local inference for sensitive workloads

      ⚡

      Mac mini/Studio home clusters for frontier-scale open-weight models

      🔧

      Researchers and small labs without cloud GPU budgets

      🚀

      Edge deployments where data cannot leave the network

      💡

      Hobbyists experimenting with large open-weight models

      Pros & Cons

      ✓ Pros

      • ✓Full data privacy — every token stays on your network
      • ✓One-time hardware cost beats hourly cloud pricing for steady workloads
      • ✓Drop-in OpenAI SDK compatibility means zero app rewrites
      • ✓Active open-source community and a credible commercial sponsor
      • ✓Works with consumer hardware you may already own (Mac Studio, Mac mini)

      ✗ Cons

      • ✗Throughput per node is well below a hosted H100 — not for low-latency consumer products
      • ✗GPL licensing complicates commercial embedding for some teams
      • ✗Cluster setup still rewards networking knowledge despite auto-discovery
      • ✗Apple Silicon is the optimised path; mixed-vendor clusters are rougher
      • ✗No SLA or managed support unless you engage Exo Labs commercially

      Frequently Asked Questions

      How much does exo (Exo Labs) cost?+

      exo (Exo Labs) pricing starts at Free. They offer 2 pricing tiers including a free option.
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      Quick Info

      Category

      AI Infrastructure

      Website

      exolabs.net
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