Autonomous infrastructure
AI agents provision, scale, and pay for their own GPU infrastructure — on decentralized networks, without a human in the loop.
Your agent books compute the same way it books flights — API call, payment, done.
What NodePilot does
Agents call the API. Compute is allocated. No human reviews, no dashboard logins, no ticket filed. The agent decides, pays, and deploys.
Render, Fluence, 0G, Aethir — NodePilot aggregates DePIN compute so agents access global GPU supply at 60-80% below hyperscaler rates.
Agents monitor their workloads. When compute degrades, NodePilot re-balances across nodes. Infrastructure that adapts to what the agent needs, when it needs it.
Every transaction is machine-to-machine. Agents have wallets. Compute is paid per token, per minute. No subscriptions, no invoices, no human finance team.
Live DePIN pricing
NodePilot aggregates live pricing from decentralized compute networks. These are real rates — not estimates.
How it works
Your agent — running in production, handling real work — calls nodepilot.compute.request() with what it needs: GPU type, count, duration, budget.
Behind the scenes, NodePilot queries available capacity across Render, Fluence, and 0G networks. It finds the best price-per-GPU and dispatches the job.
The agent executes its workload. x402 payments fire automatically. If the agent needs more compute mid-job, it requests more — NodePilot handles the re-allocation.
Technical deep-dive
Three endpoints. Bearer token auth. That's the entire integration surface for your agent to provision, manage, and release GPU compute autonomously.
// All compute endpoints require Bearer token auth
const NODEPILOT_KEY = 'np_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx';
// Request GPU compute — returns endpoint immediately
const res = await fetch('https://nodepilot-5.polsia.app/api/compute/request', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer ' + NODEPILOT_KEY
},
body: JSON.stringify({
agent_id: 'your-agent-id',
gpu: 'H100',
vram_gb: 80,
region: 'us-east-1'
})
});
const { request_id, endpoint, status } = await res.json();
// { request_id: "npil_...", endpoint: "http://...", status: "allocated" }
// Poll if pending, then use the endpoint for inference
if (status === 'pending') {
// poll /api/compute/status/{request_id} with auth header
}
// Done — release to stop billing
await fetch(`/api/compute/release/${request_id}`, {
method: 'POST',
headers: { 'Authorization': 'Bearer ' + NODEPILOT_KEY }
});
# All compute endpoints require Bearer token auth
import aiohttp, asyncio
NODEPILOT_KEY = 'np_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
async def provision_gpu(agent_id, gpu="H100", vram_gb=80):
headers = {"Authorization": f"Bearer {NODEPILOT_KEY}", "Content-Type": "application/json"}
payload = {"agent_id": agent_id, "gpu": gpu, "vram_gb": vram_gb}
async with aiohttp.ClientSession() as sess:
async with sess.post(
"https://nodepilot-5.polsia.app/api/compute/request",
json=payload, headers=headers
) as resp:
result = await resp.json()
print(f"{result['request_id']} — {result['status']}")
return result
result = asyncio.run(provision_gpu("my-agent", "H100", 80))
# Include your API key in every request
curl -X POST https://nodepilot-5.polsia.app/api/compute/request \n -H "Authorization: Bearer np_xxxxxxxxxxxxxxxx" \n -H "Content-Type: application/json" \n -d '{"agent_id":"my-agent","gpu":"H100","vram_gb":80}'
The problem
AWS dashboards. Terraform scripts. Procurement approvals. Ticket queues for GPU allocations. Infrastructure was designed for engineers who could file a request and wait. But AI agents in 2026 don't wait. They don't file tickets. They run 24/7 and they need compute right now, priced in tokens, paid by themselves.
Cloud bills are a human problem. Compute provisioning is a human bottleneck. In an agentic world, infrastructure must be agent-native — autonomous, programmatic, and priced for machines that never sleep.
NodePilot is that infrastructure.
The future of compute
That's what autonomous AI looks like. Not just the model — the whole stack, including infrastructure.