Decentralized AI Inference Network

High-Performance LLM Inference on Pooled GPU Compute

Run 70B+ open models at 80% lower cost or turn your idle GPUs and mining rigs into revenue-generating inference nodes.

1,248
Active GPUs
18.4 TB
Total VRAM
42.8 M
Tokens Served
99.98%
Network Uptime

Engineered for Ultra-Fast, Low-Cost Inference

ComputeMesh solves the high cost of centralized AI by pooling consumer GPUs, datacenter accelerators, and multi-GPU mining rigs.

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Pipeline Layer Sharding

Models are seamlessly split across distributed GPUs. Activation tensors transmit in microseconds, unlocking massive 32B+ models across 8GB cards.

Native AMD & NVIDIA Dual-Stack

Full native support for NVIDIA CUDA, AMD ROCm, and universal Vulkan backends. Mix arbitrary GPUs in one rig with zero friction.

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80% Cost Reduction

Prepaid micro-credit billing and decentralized hardware yield drastic savings compared to traditional centralized hyperscalers.

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OpenAI-Compatible Gateway

Drop-in replacement for OpenAI SDKs and cURL. Simply switch your baseURL to start serving low-latency tokens immediately.

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Mining Rig NodeOS

Flashable USB appliance image turning 4–12 GPU Ethereum mining rigs into autonomous provider nodes in under 2 minutes.

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Verifiable Double-Entry Ledger

Every token computed is cryptographically metered and settled to an auditable append-only ledger for instant provider payouts.

Calculate Your Savings or Earnings

Transparent pay-as-you-go pricing for developers and high-yield passive revenue for hardware providers.

Monthly Inference Volume (Million Tokens) 50 M
Model Size Tier
ComputeMesh Cost
$10.00
Traditional Cloud Cost: $50.00
Estimated Savings: ~80%

Download Node Installers & NodeOS Images

Get started in seconds on Windows, Linux, or dedicated multi-GPU mining rigs.

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Windows Provider Agent

GUI tray app with automatic NVIDIA CUDA acceleration and background inference daemon.

Download for Windows (.exe)
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Linux Headless Agent

One-command terminal installer for Ubuntu 22.04/24.04 and Debian 12/13 servers.

curl -fsSL https://get.computemesh.net/install.sh | sudo bash

100% OpenAI API Compatible

Change one line of code in Python, TypeScript, or cURL to start routing requests through ComputeMesh.

inference_example.py
from openai import OpenAI

# Point directly to the ComputeMesh Decentralized Gateway
client = OpenAI(
    base_url="https://api.computemesh.net/v1",
    api_key="cm_live_71a9f02c4b8e6d..."
)

response = client.chat.completions.create(
    model="qwen/qwen2.5-7b-instruct",
    messages=[{"role": "user", "content": "Explain quantum computing in 3 sentences."}],
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")