# Quickstart

{% hint style="success" %}
No prior GPU or AI experience needed. This guide gets you from zero to running AI in 5 minutes.
{% endhint %}

## Step 1: Create Account & Add Funds

1. Go to [clore.ai](https://clore.ai) → **Sign Up**
2. Verify your email
3. Go to **Account** → **Deposit**
4. Add funds via **CLORE**, **BTC**, **USDT**, or **USDC** (minimum \~$5 to start)

## Step 2: Pick a GPU

Go to the [Marketplace](https://clore.ai/marketplace) and choose based on your task:

| What I Want To Do         | Minimum GPU   | Budget/Day |
| ------------------------- | ------------- | ---------- |
| Chat with AI (7B models)  | RTX 3060 12GB | \~$0.15    |
| Chat with AI (32B models) | RTX 4090 24GB | \~$0.50    |
| Generate images (FLUX)    | RTX 3090 24GB | \~$0.30    |
| Generate videos           | RTX 4090 24GB | \~$0.50    |
| Generate music            | Any GPU 4GB+  | \~$0.15    |
| Voice cloning / TTS       | RTX 3060 6GB+ | \~$0.15    |
| Transcribe audio          | RTX 3060 8GB+ | \~$0.15    |
| Fine-tune a model         | RTX 4090 24GB | \~$0.50    |
| Run 70B+ models           | A100 80GB     | \~$2.00    |

{% hint style="danger" %}
**Important — check more than just GPU!**

* **RAM:** 16GB+ minimum for most AI workloads
* **Network:** 500Mbps+ recommended (models download from HuggingFace)
* **Disk:** 50GB+ free space for model storage
  {% endhint %}

### Quick GPU Guide

| GPU           | VRAM | Price          | Sweet Spot For                       |
| ------------- | ---- | -------------- | ------------------------------------ |
| **RTX 3060**  | 12GB | $0.15–0.30/day | TTS, music, small models             |
| **RTX 3090**  | 24GB | $0.30–1.00/day | Image gen, 32B models                |
| **RTX 4090**  | 24GB | $0.50–2.00/day | Everything up to 35B, fast inference |
| **RTX 5090**  | 32GB | $1.50–3.00/day | 70B quantized, fastest               |
| **A100 80GB** | 80GB | $2.00–4.00/day | 70B FP16, serious training           |
| **H100 80GB** | 80GB | $3.00–6.00/day | 400B+ MoE models                     |

## Step 3: Deploy

Click **Rent** on your chosen server, then configure:

* **Order type:** On-Demand (guaranteed) or Spot (30–50% cheaper, can be interrupted)
* **Docker image:** See recipes below
* **Ports:** Always include `22/tcp` (SSH) + your app port
* **Environment:** Add any API keys needed

### 🚀 One-Click Recipes

#### Chat with AI (Ollama + Open WebUI)

The easiest way to run local AI — ChatGPT-like interface with any open model.

```
Image: ghcr.io/open-webui/open-webui:ollama
Ports: 22/tcp, 8080/http
```

After deploy, open the HTTP URL → create account → pick a model (Llama 4 Scout, Gemma 3, Qwen3.5) → chat!

#### Image Generation (ComfyUI)

Node-based workflow for FLUX, Stable Diffusion, and more.

```
Image: yanwk/comfyui-boot:cu126-slim
Ports: 22/tcp, 8188/http
Environment: CLI_ARGS=--listen 0.0.0.0
```

#### Image Generation (Stable Diffusion WebUI)

Classic UI for Stable Diffusion, SDXL, and SD 3.5.

```
Image: universonic/stable-diffusion-webui:latest
Ports: 22/tcp, 8080/http
```

#### LLM API Server (vLLM)

Production-grade serving with OpenAI-compatible API.

```
Image: vllm/vllm-openai:latest
Ports: 22/tcp, 8000/http
Command: vllm serve Qwen/Qwen3.5-9B-Instruct --host 0.0.0.0 --max-model-len 8192
```

#### Music Generation (ACE-Step)

Generate full songs with vocals — works on any 4GB+ GPU!

```
Ports: 22/tcp, 7860/http
```

SSH in, then:

```bash
git clone https://github.com/ACE-Step/ACE-Step-1.5.git && cd ACE-Step-1.5
pip install -r requirements.txt
python app.py --port 7860 --listen 0.0.0.0
```

## Step 4: Connect

After your order starts:

1. Go to **My Orders** → find your active order
2. **Web UI:** Click the HTTP URL (e.g., `https://xxx.clorecloud.net`)
3. **SSH:** `ssh -p <port> root@<proxy-address>`

{% hint style="warning" %}
**First launch takes 5–20 minutes** — the server downloads AI models from HuggingFace. HTTP 502 errors during this time are normal. Wait and refresh.
{% endhint %}

| Deploy              | Typical Startup                  |
| ------------------- | -------------------------------- |
| Ollama + Open WebUI | 3–5 min                          |
| ComfyUI             | 10–15 min                        |
| vLLM                | 5–15 min (depends on model size) |
| SD WebUI            | 10–20 min                        |

## Step 5: Start Creating

Once your service is running, explore the guides for your specific use case:

### 🤖 Language Models (Chat, Code, Reasoning)

* [**Ollama**](https://docs.clore.ai/guides/language-models/ollama) — easiest model management
* [**Llama 4 Scout**](https://docs.clore.ai/guides/language-models/llama4) — Meta's latest, 10M context
* [**Gemma 3**](https://docs.clore.ai/guides/language-models/gemma3) — Google's 27B that beats 405B models
* [**Qwen3.5**](https://docs.clore.ai/guides/language-models/qwen35) — beat Claude 4.5 on math (Feb 2026!)
* [**DeepSeek-R1**](https://docs.clore.ai/guides/language-models/deepseek-r1) — chain-of-thought reasoning
* [**vLLM**](https://docs.clore.ai/guides/language-models/vllm) — production API serving

### 🎨 Image Generation

* [**FLUX.2 Klein**](https://docs.clore.ai/guides/image-generation/flux2-klein) — < 0.5 sec per image!
* [**ComfyUI**](https://docs.clore.ai/guides/image-generation/comfyui) — node-based workflows
* [**FLUX.1**](https://docs.clore.ai/guides/image-generation/flux) — highest quality with LoRA + ControlNet
* [**Stable Diffusion 3.5**](https://docs.clore.ai/guides/image-generation/stable-diffusion-3-5) — best text rendering

### 🎬 Video Generation

* [**FramePack**](https://docs.clore.ai/guides/video-generation/framepack) — only 6GB VRAM needed!
* [**Wan2.1**](https://docs.clore.ai/guides/video-generation/wan-video) — high quality T2V + I2V
* [**LTX-2**](https://docs.clore.ai/guides/video-generation/ltx-video-2) — video WITH audio
* [**CogVideoX**](https://docs.clore.ai/guides/video-generation/cogvideox) — Zhipu AI's video model

### 🔊 Audio & Voice

* [**Qwen3-TTS**](https://docs.clore.ai/guides/audio-and-voice/qwen3-tts) — voice cloning, 10+ languages
* [**WhisperX**](https://docs.clore.ai/guides/audio-and-voice/whisperx) — transcription + speaker diarization
* [**Dia TTS**](https://docs.clore.ai/guides/audio-and-voice/dia-tts) — multi-speaker dialog
* [**Kokoro**](https://docs.clore.ai/guides/audio-and-voice/kokoro-tts) — tiny TTS, only 2GB VRAM

### 🎵 Music

* [**ACE-Step**](https://docs.clore.ai/guides/music-generation/ace-step) — full songs on < 4GB VRAM

### 💻 AI Coding

* [**TabbyML**](https://docs.clore.ai/guides/ai-coding-tools/tabby) — self-hosted Copilot for $4.50/month
* [**Aider**](https://docs.clore.ai/guides/ai-coding-tools/aider) — terminal AI coding assistant

### 🧠 Training

* [**Unsloth**](https://docs.clore.ai/guides/training/unsloth-finetune) — 2x faster, 70% less VRAM
* [**Axolotl**](https://docs.clore.ai/guides/training/axolotl-training) — YAML-based fine-tuning

## 💡 Tips for Beginners

1. **Start with Ollama** — it's the easiest way to try AI locally
2. **RTX 4090 is the sweet spot** — handles 90% of use cases at $0.50–2/day
3. **Use Spot orders** for experiments — 30–50% cheaper
4. **Use On-Demand** for important work — guaranteed, no interruptions
5. **Download your outputs** before the order ends — files are deleted after
6. **Pay with CLORE token** — often better rates than stablecoins
7. **Check RAM and network** — low RAM is the #1 cause of failures

## Troubleshooting

| Problem                  | Solution                                                         |
| ------------------------ | ---------------------------------------------------------------- |
| HTTP 502 for a long time | Wait 10–20 min for first startup; check RAM ≥ 16GB               |
| Service won't start      | RAM too low (need 16GB+) or VRAM too small for the model         |
| Slow model download      | Normal on first run; prefer 500Mbps+ servers                     |
| CUDA out of memory       | Use smaller model or bigger GPU; try quantized versions          |
| Can't SSH                | Check port is `22/tcp` in config; wait for server to fully start |

## 🐍 Python SDK & CLI (Recommended)

Prefer code over clicking? Install the official SDK:

```bash
pip install clore-ai
clore search --gpu "RTX 4090" --max-price 5.0
clore deploy 123 --image cloreai/ubuntu22.04-cuda12 --type on-demand --currency bitcoin --ssh-password mypass --port 22:tcp
clore ssh 456
```

Or use Python directly:

```python
from clore_ai import CloreAI

client = CloreAI()
servers = client.marketplace(gpu="RTX 4090", max_price_usd=5.0)
order = client.create_order(server_id=servers[0].id, image="cloreai/ubuntu22.04-cuda12", type="on-demand", currency="bitcoin")
```

→ [Full Python Quickstart](https://docs.clore.ai/guides/getting-started/python-quickstart) | [SDK Guide](https://docs.clore.ai/guides/advanced/python-sdk) | [CLI Automation](https://docs.clore.ai/guides/advanced/cli-automation)

## Need Help?

* 📖 [Full Troubleshooting Guide](https://docs.clore.ai/guides/getting-started/clore-troubleshooting)
* 📊 [GPU Comparison Chart](https://docs.clore.ai/guides/getting-started/gpu-comparison)
* 💰 [Pricing Reference](https://docs.clore.ai/guides/getting-started/pricing)
* 💬 [Discord](https://discord.com/invite/clore-ai)
* 💬 [Telegram](https://t.me/clorechat)
* 📧 <support@clore.ai>