AI Compute Coordination Layer
High-performance AI compute, made accessible. Nodus is the coordination layer that connects developers, agents and applications to decentralized GPU infrastructure — through one simple, scalable interface.
AI builders struggle with GPU availability, runaway cost management, deep infrastructure complexity, and brittle deployment workflows.
One unified dashboard for compute orchestration, workload execution, model testing and agent runtime — abstracting decentralized GPUs into a single clean interface.
Discover, reserve and orchestrate GPUs across the network from a single command surface.
Deploy and run autonomous AI agents with persistent, schedulable execution environments.
Test, benchmark and compare models interactively before committing them to production.
Transparent, real-time accounting of compute spend, throughput and resource utilization.
A single programmable surface for compute, agents and models — integrate Nodus into any app, pipeline or autonomous system with a few lines of code.
Schedule workloads on decentralized H100s without touching infrastructure. The Nodus SDK handles discovery, provisioning, billing and teardown.
import { Nodus } from "@nodus/sdk"; const nodus = new Nodus({ apiKey: process.env.NODUS_KEY }); // schedule on a decentralized H100 const job = await nodus.compute.run({ gpu: "H100", image: "vllm/vllm:latest", command: "python serve.py --model llama-3-70b", }); console.log(job.endpoint); // https://…nodus.run
NODUS
Isolated, verifiable workload execution across every node in the network.
Every unit of resource is metered and settled on-chain — no hidden costs.
Decentralized by design — no single point of failure, automatic failover.
Connect your applications to decentralized GPU power. Start building on Nodus today.