---
title: "Quickstart — deploy your first cloud GPU in 5 minutes | PowerGPU Docs"
description: "From account to a running cloud GPU in five minutes: crypto top-up, template deploy, connect over SSH or browser, stop and destroy — exact clicks and commands."
url: https://powergpu.ai/docs/quickstart
last_modified: 2026-09-14T11:04:20+00:00
prices_as_of: 2026-09-14
site: PowerGPU (powergpu.ai)
---

Getting started 2 min read updated 2026-09-03

# Quickstart

Five minutes from nothing to a GPU shell prompt. No card, no KYC — an email, a password and a few dollars of crypto.

## 1 · Create an account

Open the [console](https://cloud.powergpu.ai/?auth=signup), choose email + password, pass the anti-bot check. There is no confirmation email and no trial paperwork — the account exists immediately. New accounts start with a $0.00 balance.

## 2 · Top up credits

**Billing → Add credits.** Pick an amount ($30 minimum — plenty for a first session) and a coin — USDT (TRC-20 or ERC-20), BTC, XMR, LTC, ETH, TRX or SOL. Send the *exact* amount shown to the generated address; the payment page tracks confirmation live and credits land automatically. TRON and Solana confirm in seconds, Bitcoin takes 10–30 minutes.

Send on the network shown on the payment page. USDT on the wrong network is the one mistake support cannot always undo.

## 3 · Deploy a GPU

The console home is the offer search. Filter by GPU (say, [RTX 4090](https://powergpu.ai/gpu/rtx-4090) at $0.327/hr), pick a machine, hit **Deploy**:

- **Template** — PyTorch for a first run (Jupyter + SSH included);
- **Disk** — 50 GB is enough to start (billed $0.08/GB/mo, per second);
- **Mode** — on-demand for interactive work; interruptible is −50% for jobs that can pause.

Deploys need a balance of at least $0.10. The instance reaches *running* in about 30 seconds for cached templates.

## 4 · Connect

The instance page lists every mapped port with copyable endpoints:

*connect*

```
# SSH (key added at deploy, or web terminal in the console)
ssh root@i-9f2c41ab.powergpu.ai -p 2201

# Jupyter — open the mapped 8888 link, token shown on the instance page
nvidia-smi   # your GPU, your prompt
```

## 5 · Stop or destroy

Two different verbs, two different bills:

| Action | GPU billing | Disk billing | Data |
| --- | --- | --- | --- |
| **Stop** | ends that second | continues | kept — restart anytime |
| **Destroy** | ends | ends | gone (volumes survive) |

Balance hits zero? Running instances stop automatically and you get an email — nothing is destroyed. Details in [billing](https://powergpu.ai/docs/billing).

## Where next

- [Instance lifecycle](https://powergpu.ai/docs/instances) — states, actions, interruptions;
- [Volumes](https://powergpu.ai/docs/volumes) — storage that outlives instances;
- [REST API](https://powergpu.ai/api) & [CLI](https://powergpu.ai/cli) — script everything you just clicked.

Stuck?

Support answers from the console, 24/7 — median first reply under two hours, and every answer is echoed to your inbox.

[Open a ticket](https://cloud.powergpu.ai/app/support)

Build against it

- [REST API](https://powergpu.ai/api)
- [CLI](https://powergpu.ai/cli)
- [Python SDK](https://powergpu.ai/sdk)
- [Guides](https://powergpu.ai/guides)

---

*About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API.

Source: https://powergpu.ai/docs/quickstart · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt