> ## Documentation Index
> Fetch the complete documentation index at: https://runcrate.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Deploy DeepSeek on a Cloud GPU

> Self-host DeepSeek V3 or R1 with vLLM on an A100 or H100. Full CLI setup, serve, and test.

export const RuncrateStyles = () => {
  if (typeof document !== 'undefined' && !document.getElementById('runcrate-overrides')) {
    const s = document.createElement('style');
    s.id = 'runcrate-overrides';
    s.textContent = `
      /* Match Runcrate's rounding scale (--radius: 0.75rem) */
      .rounded-sm { border-radius: 0.5rem !important; }   /* 8px */
      .rounded-md { border-radius: 0.625rem !important; } /* 10px */
      .rounded-lg { border-radius: 0.75rem !important; }  /* 12px */
      .rounded-l-sm { border-top-left-radius: 0.5rem !important; border-bottom-left-radius: 0.5rem !important; }
      .rounded-r-sm { border-top-right-radius: 0.5rem !important; border-bottom-right-radius: 0.5rem !important; }
      .rounded-l-md { border-top-left-radius: 0.625rem !important; border-bottom-left-radius: 0.625rem !important; }
      .rounded-r-md { border-top-right-radius: 0.625rem !important; border-bottom-right-radius: 0.625rem !important; }
      .rounded-l-lg { border-top-left-radius: 0.75rem !important; border-bottom-left-radius: 0.75rem !important; }
      .rounded-r-lg { border-top-right-radius: 0.75rem !important; border-bottom-right-radius: 0.75rem !important; }

      /* Cards: never pure white in light mode */
      .card { background-color: #fcfcfc !important; border-radius: 0.75rem !important; }
      html.dark .card { background-color: #141414 !important; }

      /* Docs hero box */
      .rc-hero { background-color: #fcfcfc; border: 1px solid #e0e0e0; }
      html.dark .rc-hero { background-color: #141414; border-color: #242424; }
      html.dark .rc-hero h1 { color: #f5f5f5; }

      /* Runcrate scrollbar — thin, transparent track, hide-until-hover thumb */
      ::-webkit-scrollbar { width: 6px; height: 6px; background-color: transparent; }
      ::-webkit-scrollbar-track { background-color: transparent; }
      ::-webkit-scrollbar-thumb { background-color: rgba(155, 155, 155, 0.5); border-radius: 10px; transition: opacity 0.3s ease; opacity: 0; }
      ::-webkit-scrollbar-thumb:hover { background-color: rgba(155, 155, 155, 0.7); }
      *:hover::-webkit-scrollbar-thumb,
      *:focus::-webkit-scrollbar-thumb,
      *:active::-webkit-scrollbar-thumb { opacity: 1; }
      * { scrollbar-width: thin; scrollbar-color: rgba(155, 155, 155, 0.5) transparent; }
    `;
    document.head.appendChild(s);
  }
  return null;
};

<RuncrateStyles />

Run DeepSeek V3 (685B MoE) or DeepSeek R1 on your own GPU. DeepSeek models use mixture-of-experts — only \~37B parameters are active per token, so they fit on fewer GPUs than the total parameter count suggests.

## GPU requirements

| Model                       | GPU              | VRAM needed  | Approx. cost |
| --------------------------- | ---------------- | ------------ | ------------ |
| DeepSeek R1 Distill 8B      | RTX 4090 (24 GB) | \~16 GB      | \~\$0.35/hr  |
| DeepSeek R1 Distill 70B     | A100 80 GB       | \~70 GB      | \~\$1.60/hr  |
| DeepSeek V3 / R1 full (FP8) | 4x H100 80 GB    | \~50 GB each | \~\$10.00/hr |

***

## Deploy DeepSeek R1 Distill 8B (RTX 4090)

```bash theme={"theme":"github-dark"}
runcrate instances create --name deepseek-8b --gpu RTX4090
runcrate instances status deepseek-8b

runcrate ssh deepseek-8b -- "pip install vllm"

runcrate ssh deepseek-8b -- "nohup python -m vllm.entrypoints.openai.api_server \
  --model deepseek-ai/DeepSeek-R1-Distill-Llama-8B \
  --max-model-len 8192 \
  --port 8000 --host 0.0.0.0 \
  > /root/vllm.log 2>&1 &"
```

## Deploy DeepSeek R1 Distill 70B (A100)

```bash theme={"theme":"github-dark"}
runcrate instances create --name deepseek-70b --gpu A100
runcrate ssh deepseek-70b -- "pip install vllm"

runcrate ssh deepseek-70b -- "nohup python -m vllm.entrypoints.openai.api_server \
  --model deepseek-ai/DeepSeek-R1-Distill-Llama-70B \
  --max-model-len 8192 \
  --port 8000 --host 0.0.0.0 \
  > /root/vllm.log 2>&1 &"
```

## Deploy DeepSeek V3 full (4x H100)

```bash theme={"theme":"github-dark"}
runcrate instances create --name deepseek-v3 --gpu H100 --gpu-count 4
runcrate ssh deepseek-v3 -- "pip install vllm"

runcrate ssh deepseek-v3 -- "nohup python -m vllm.entrypoints.openai.api_server \
  --model deepseek-ai/DeepSeek-V3 \
  --tensor-parallel-size 4 \
  --max-model-len 16384 \
  --trust-remote-code \
  --port 8000 --host 0.0.0.0 \
  > /root/vllm.log 2>&1 &"
```

## Test the endpoint

```bash theme={"theme":"github-dark"}
runcrate instances info deepseek-8b

curl http://<INSTANCE_IP>:8000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
    "messages": [{"role": "user", "content": "Explain mixture-of-experts in two sentences."}],
    "max_tokens": 256
  }'
```

## Monitoring

```bash theme={"theme":"github-dark"}
runcrate ssh deepseek-8b -- nvidia-smi
runcrate ssh deepseek-8b -- "tail -50 /root/vllm.log"
```

## Cleanup

```bash theme={"theme":"github-dark"}
runcrate instances delete deepseek-8b
runcrate instances delete deepseek-70b
runcrate instances delete deepseek-v3
```