# FAQ Common questions about using CLORE.AI for AI workloads. {% hint style="success" %} Can't find your answer? Join [Discord](https://discord.com/invite/clore-ai) or [Telegram](https://t.me/clorechat) for help. {% endhint %} ## Getting Started ### How do I create an account? 1. Go to [clore.ai](https://clore.ai) 2. Click **Sign Up** 3. Enter email and password 4. Verify your email 5. Done! You can now deposit funds and rent GPUs ### What payment methods are accepted? * **CLORE** - Native token (often gives best rates) * **BTC** - Bitcoin * **USDT** - Tether (ERC-20, TRC-20) * **USDC** - USD Coin ### What's the minimum deposit? There's no strict minimum, but we recommend $5-10 to start experimenting. This covers several hours on budget GPUs. ### How long until my deposit arrives? | Currency | Confirmations | Typical Time | | --------- | ----------------- | ------------ | | CLORE | 10 | \~10 minutes | | BTC | 2 | \~20 minutes | | USDT/USDC | Network dependent | 1-15 minutes | *** ## Choosing Hardware ### Which GPU should I choose? It depends on your task: | Task | Recommended GPU | | ------------------------ | ------------------------------------------------------------ | | Chat with 7B models | RTX 3060 12GB ($0.15–0.30/day) | | Chat with 13B-30B models | RTX 3090 24GB ($0.30–1.00/day) | | Chat with 70B models | RTX 5090 32GB ($1.50–3.00/day) or A100 40GB ($1.50–3.00/day) | | Image generation (SDXL) | RTX 3090 24GB ($0.30–1.00/day) | | Image generation (FLUX) | RTX 4090/5090 ($0.50–3.00/day) | | Video generation | RTX 4090+ or A100 ($0.50–3.00/day) | | 70B+ models (FP16) | A100 80GB ($2.00–4.00/day) | See [GPU Comparison](https://docs.clore.ai/guides/getting-started/gpu-comparison) for detailed specs. ### What's the difference between On-Demand and Spot? | Type | Price | Availability | Best For | | ------------- | -------------- | ------------------ | ---------------------- | | **On-Demand** | Fixed price | Guaranteed | Production, long tasks | | **Spot** | 30-50% cheaper | Can be interrupted | Testing, batch jobs | Spot orders may be terminated if someone bids higher. Save your work frequently! ### How much VRAM do I need? Use this quick guide: | Model Size | Minimum VRAM (Q4) | Recommended | | ---------- | ----------------- | ----------- | | 7B | 6GB | 12GB | | 13B | 8GB | 16GB | | 30B | 16GB | 24GB | | 70B | 35GB | 48GB | See [Model Compatibility](https://docs.clore.ai/guides/getting-started/model-compatibility) for full details. ### What does "Unverified" mean on a server? Unverified servers haven't completed CLORE.AI's hardware verification. They may: * Have slightly different specs than listed * Be less reliable Verified servers have confirmed specs and better reliability. *** ## Connecting to Servers ### How do I connect via SSH? After your order starts: 1. Go to **My Orders** 2. Find your order 3. Copy SSH command: `ssh -p root@` 4. Use password shown in order details **Example:** ```bash ssh -p 10022 root@proxy.clore.ai # Enter password when prompted ``` ### SSH connection refused - what do I do? 1. **Wait 1-2 minutes** - Server may still be starting 2. **Check order status** - Must be "Running" 3. **Verify port** - Use the port from order details, not 22 4. **Check firewall** - Your network may block non-standard ports ### How do I access web interfaces (Gradio, Jupyter)? 1. In order details, find the HTTP port link 2. Click the link to open in browser 3. Or manually: `http://:` ### Can I use VS Code Remote SSH? Yes! Add to your `~/.ssh/config`: ``` Host clore-gpu HostName Port User root ``` Then connect in VS Code: `Remote-SSH: Connect to Host` → `clore-gpu` ### How do I transfer files? **Upload to server:** ```bash scp -P local_file.zip root@:/root/ ``` **Download from server:** ```bash scp -P root@:/root/output.zip ./ ``` **For large transfers, use rsync:** ```bash rsync -avz -e "ssh -p " ./data/ root@:/root/data/ ``` *** ## Running AI Workloads ### How do I install Python packages? ```bash pip install torch transformers accelerate ``` For persistent installations, include in your startup command or Docker image. ### Why is my model running out of memory? 1. **Use quantization** - Q4 uses 4x less VRAM than FP16 2. **Enable CPU offload** - Slower but works 3. **Reduce batch size** - Use batch\_size=1 4. **Lower context length** - Reduce max\_tokens 5. **Choose bigger GPU** - Sometimes necessary ### How do I use Hugging Face models that require login? ```bash # Set token as environment variable export HUGGING_FACE_HUB_TOKEN=hf_xxxxx # Or login interactively huggingface-cli login ``` For gated models (Llama, etc.), first accept terms on Hugging Face website. ### Can I run multiple models at once? Yes, if you have enough VRAM: * Each model needs its own VRAM allocation * Use different ports for different services * Consider vLLM for efficient multi-model serving ### How do I keep my work after the order ends? **Before order ends:** 1. Download outputs: `scp -P root@:/root/outputs/* ./` 2. Push to cloud: `aws s3 sync /root/outputs s3://bucket/` 3. Commit to Git: `git push` **Data is lost when order ends!** Always backup important files. *** ## Billing & Orders ### How is billing calculated? * **Hourly rate** × **hours used** * Billing starts when order status is "Running" * Minimum billing: 1 minute * Partial hours billed by the minute ### How do I stop an order? 1. Go to **My Orders** 2. Click **Stop** on your order 3. Confirm termination You'll only be charged for time used. ### Can I extend my order? Yes, if no one has bid higher on your spot order. Add funds to your balance and the order continues automatically. ### What happens if my balance runs out? 1. Warning notification sent 2. Grace period (\~5-10 minutes) 3. Order terminated 4. **All data lost!** Keep sufficient balance or download work before running low. ### Can I get a refund? Contact support for: * Hardware issues (GPU not working) * Significant downtime * Billing errors Refunds not provided for: * User errors * Normal order usage * Spot order interruptions *** ## Docker & Images ### What Docker images are available? See [Docker Images Catalog](https://docs.clore.ai/guides/getting-started/docker-images) for ready-to-use images: * `ollama/ollama` - LLM runner * `vllm/vllm-openai` - High-performance LLM API * `universonic/stable-diffusion-webui` - Image generation * `yanwk/comfyui-boot` - Node-based image gen ### Can I use my own Docker image? Yes! Specify your image in the order: ``` Image: your-registry/your-image:tag ``` Ensure the image is publicly accessible or provide credentials. ### How do I persist data between restarts? Use the provided volume mount points or specify custom volumes: ``` -v /data/models:/root/.cache/huggingface ``` *** ## Troubleshooting ### "CUDA out of memory" error 1. **Check VRAM** - `nvidia-smi` 2. **Use smaller model** or quantization 3. **Enable offload** - `--cpu-offload` 4. **Reduce batch size** - `batch_size=1` 5. **Kill other processes** - `pkill python` ### "Connection timed out" error 1. **Check order status** - Must be "Running" 2. **Wait longer** - Large images take time to start 3. **Check ports** - Use correct port from order 4. **Try again** - Network issues are temporary ### Web UI not loading 1. **Wait for startup** - Some UIs take 2-5 minutes 2. **Check logs**: `docker logs ` 3. **Verify port** - Use HTTP port from order details 4. **Check command** - Must include `--listen 0.0.0.0` ### Model download stuck 1. **Check disk space**: `df -h` 2. **Use smaller model** - Start with 7B 3. **Pre-download** - Include in Docker image 4. **Check HF token** - Required for gated models ### Slow inference speed 1. **Check GPU usage**: `nvidia-smi` 2. **Enable GPU** - Model may be on CPU 3. **Use Flash Attention** - `--flash-attn` 4. **Optimize settings** - Reduce precision, batch *** ## Security ### Is my data secure? * Each order runs in isolated container * Data is deleted when order ends * Network traffic goes through CLORE proxies * Don't store sensitive data on rented GPUs ### Should I change the root password? Optional but recommended for long orders: ```bash passwd root ``` ### How do I protect API keys? 1. **Use environment variables** - Not command line args 2. **Don't commit to Git** - Use `.gitignore` 3. **Delete after use** - Clear history: `history -c` *** ## Still Need Help? * [Troubleshooting Guide](https://docs.clore.ai/guides/getting-started/clore-troubleshooting) * [Discord Community](https://discord.com/invite/clore-ai) * [Telegram Chat](https://t.me/clorechat) * Email: