[en] Add deepseek blog

Author: windsonsea

docs/zh/docs/en/blogs/2025/0210-deep-drun.md

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+---
+hide:
+  - toc
+---
+
+# Deploy, Invoke, and Try DeepSeek on d.run
+
+d.run currently offers a free one-week trial for DeepSeek models.  
+Visit <https://console.d.run/> to try out the following DeepSeek models with one click:
+
+- **DeepSeek-R1**: The full-powered version with 236 billion parameters. It uses a dense Transformer architecture and activates all modules during every inference.  
+  It demonstrates strong capabilities in complex reasoning tasks, especially excelling in math reasoning, code generation, and logical deduction.  
+  In these high-end application domains, R1 is considered on par with top-tier models like OpenAI's GPT-4, offering much stronger reasoning power than typical general-purpose models.
+
+- **DeepSeek-V3**: Based on a Mixture of Experts (MoE) architecture with 671 billion parameters, activating 37 billion per inference.  
+  It performs excellently on general natural language processing tasks and stands out in terms of response speed.
+
+- **DeepSeek-R1-Distill-Qwen-32B**: A distilled model.
+
+- **DeepSeek-R1-Distill-Qwen-14B**: A distilled model.
+
+![Full-powered trial](./images/deepr1.png)
+
+However, the free trial usually only lasts one week. It is recommended to deploy your own exclusive large model.  
+The following uses DeepSeek-R1-Distill-Qwen-14B as an example.
+
+## Deploying the Model
+
+1. In the **Model Plaza**, find DeepSeek-R1-Distill-Qwen-14B and click the **Deploy** button on the card.
+
+    ![Deploy button](./images/deep01.png)
+
+1. Enter the basic information and resource details, select a billing method, then click **Confirm**.
+
+    ![Deployment form](./images/deep02.png)
+
+1. When the system prompts "Deployment Successful" and the status changes from **Deploying** to **Running**,  
+   it means the DeepSeek-R1-Distill-Qwen-14B model has been successfully deployed.
+
+    ![Deployment success](./images/deep03.png)
+
+## Chat with the Deployed Model in drun
+
+In the image above, click **Experience** in the operations column to start chatting with the DeepSeek-R1-Distill-Qwen-14B distilled model.
+
+![Start chat](./images/deepr1.png)
+
+## Calling the d.run Model from Third-party Apps
+
+You can also call the d.run API from third-party intelligent apps such as VSCode, Bob Translate, Lobe Chat, Cherry Studio, etc.  
+This allows you to use the just-deployed DeepSeek-R1-Distill-Qwen-14B model.
+
+### Creating an API Key
+
+To call d.run's model services in a third-party app, you’ll need an API Key.
+
+1. In the d.run LLM service platform, go to **Analytics & Management** -> **API Key Management**, then click **Create** on the right.
+
+    ![Start dialog](./images/deep05.png)
+
+1. Enter an easily recognizable name, then click **Confirm**.
+
+    ![Name](./images/deep06.png)
+
+1. When prompted that the API Key was created successfully, securely save the generated key and click **Close**.
+
+    ![Generate key](./images/deep07.png)
+
+1. Return to the API Key list. The newly generated key appears at the top by default.
+
+    ![Key list](./images/deep08.png)
+
+### Calling d.run Model Service
+
+Using the third-party app Bob Translate as an example:
+
+1. After installing it via the App Store, launch Bob and select **Preferences** from the dropdown menu.
+
+    ![Preferences](./images/deep09.png)
+
+1. Click **Services** -> **➕**
+
+    ![Add service](./images/deep10.png)
+
+1. Select DeepSeek.
+
+    ![Select OpenAI](images/translate01.png)
+
+1. Fill in the following parameters, enable only d.run’s model service, then click **Save**.
+
+    | **Config Item**         | **Example Value**              |
+    |-------------------------|-------------------------------|
+    | **Service Name**        | d.run.deepseek                |
+    | **API Key**             | Enter the newly generated Key |
+    | **Custom API Base URL** | `https://sh-02.d.run`         |
+    | **Custom API Path**     | Leave empty or `/v1/chat/completions` |
+    | **Model**               | Custom model                  |
+    | **Custom Model**        | DeepSeek-R1-Distill-Qwen-14B  |
+
+    ![Fill in parameters](images/translate02.png)
+
+    !!! note
+
+        You can also run the following command in the terminal to check if the model is callable:
+
+        ```bash
+        curl 'https://sh-02.d.run/v1/chat/completions' \
+         -H "Content-Type: application/json" \
+         -H "Authorization: Bearer <replace with your API Key>" \
+         -d '{
+            "model": "u-3d7a8e49da2a/test14b",
+            "messages": [{"role": "user", "content": "Say this is a test!"}],
+            "temperature": 0.7
+         }'
+        ```
+
+1. Now try letting Bob Translate translate a sentence.
+
+    ![Test with Bob](./images/deep13.jpeg)
+
+🎉 Congratulations! The third-party app Bob Translate has successfully called the DeepSeek-R1-Distill-Qwen-14B model deployed in d.run via the API.  
+Similarly, you can integrate any DeepSeek model deployed in d.run with any third-party intelligent application.

docs/zh/docs/en/blogs/2025/images/deep01.png

@@ -12,6 +12,11 @@ This channel will closely follow technology trends and collect news from the AI
     llm-d is a Kubernetes-native high-performance distributed LLM inference framework,
     a well-lit path for anyone to serve at scale, with the fastest time-to-value and competitive performance per dollar for most models across most hardware accelerators.
 
+* [Deploy, Invoke, and Try DeepSeek on d.run](./2025/0210-deep-drun.md)
+
+    This is a quick start guide that teaches you how to deploy DeepSeek models in d.run and use the DeepSeek model service within d.run or any third-party application.
+
+
 - [AI Trends for 2025](./2025/0102-ai-trend.md)
 
     As technology races forward, artificial intelligence (AI) is becoming an essential part of our everyday lives.

docs/zh/docs/en/blogs/2025/images/deep02.png

@@ -238,3 +238,5 @@ plugins:
                 在 VSCode 和 Cline 中使用: Using in VSCode
                 使用示例场景: Use Cases
                 示例场景介绍: Example Scenarios
+                llm-d 它来了: Announcing the llm-d community
+                部署、调用和体验 d.run DeepSeek: Deploy, Invoke, and Try DeepSeek on d.run