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diff --git a/docs/zh/docs/en/buy/index.md b/docs/zh/docs/en/buy/index.md
diff --git a/docs/zh/docs/en/images/regis01.png b/docs/zh/docs/en/images/regis01.png
diff --git a/docs/zh/docs/en/index.md b/docs/zh/docs/en/index.md
@@ -3,89 +3,29 @@ hide:
   - toc
 ---
 
-# d.run Makes Computing Free
+# Register Account
 
 !!! tip
 
     d.run = DaoCloud Runs Intelligence
     [Register and Experience d.run](https://console.d.run/){ .md-button }
-    [View and Download PDF](https://harbor-test2.cn-sh2.ufileos.com/drun/d.run-0625.pdf){ .md-button }
 
-    d.run is a comprehensive computing platform developed by DaoCloud,
-    integrating cloud-native capabilities to build an intelligent Q&A system, turning computing into "computational benefits."
+    d.run is a comprehensive AIGC computing operation and management platform developed by DaoCloud,
+    integrating cloud native capabilities and building an intelligent Q&A system,
+    transforming your computing resources into benefits.
 
-    - AI Lab: After [purchasing computing](buy/buy.md), set up a [computing cluster](./kpanda/intro/index.md) and monitor the cluster status through the [Insight](./insight/intro/index.md) module.
-    - Model Services: Build [intelligent Q&A](./dak/index.md) through [workflow orchestration](./monkey/index.md) to solve practical problems.
-    - Model Tools: After [AI Lab](./baize/index.md), [fine-tune models](./dtx/index.md) for one-stop management of popular large models in the [model center](./dmc/index.md).
-    - Management: Responsible for user access control, permission management, audit logs, and personalized settings for d.run.
+d.run supports account registration via mobile phone and email.
 
-<div style="text-align: center;">
-  <p style="font-size: 28px; font-weight: bold;">d.run Product Overview</p>
-</div>
+1. Click **Register** on the login window.
+1. Fill in the username, email, mobile number, receive and fill in the verification code, then click **Register**.
 
-![Overview](../images/home05.png)
+    Each email can only register once.
+    If you are prompted that the email is already registered, you can return to the login page, click **Forgot Password**, and enter your registered email to reset the password.
 
-<div style="text-align: center;">
-  <p style="font-size: 28px; font-weight: bold;">Computing Cloud</p>
-  <p>d.run has established computing hub centers in Shanghai, Hefei, Tianjin, Hong Kong, and other locations, achieving the free flow of computing resources across industries, regions, and levels. By building an AI open ecological platform and integrating rich model suites, it comprehensively promotes the collaborative innovation of intelligent computing and applications.</p>
-</div>
+1. After successful registration, you will return to the login page, enter your username or email, and log in to your account.
 
-![Computing Cloud Service](../images/home01.png)
+You can now start purchasing computing power.
 
-<div style="text-align: center;">
-  <p style="font-size: 28px; font-weight: bold;">Multi-Region <font color="green">Computing Centers</font>, Select as Needed</p>
-</div>
+![market](./images/regis01.png)
 
-[![Multi-Region Computing Centers](../images/home02.png)](https://console.d.run/)
-
-<div class="grid cards" markdown>
-
--   :fontawesome-brands-battle-net:{ .lg .middle } __<font color="green">Powerful</font> Computing Network__
-
-    ---
-
-    Supports high-speed interconnections at thousands and tens of thousands of cards, creating optimal network utilization for large-scale GPU clusters, ensuring stable, high-speed, and reliable supply of computing resources.
-
--   :material-arrange-send-to-back:{ .lg .middle } __<font color="green">Flexible</font> Resource Scheduling__
-
-    ---
-
-    Provides flexible computing, network, and storage resource scheduling solutions, effectively improving resource utilization, using computing resources on demand, and significantly reducing computing costs.
-
--   :simple-themodelsresource:{ .lg .middle } __<font color="green">Feature-Rich</font> Model Suites__
-
-    ---
-
-    Offers various convenient, practical, and high-performance model suites through the AI ecological open platform, supporting model development and training, accelerating the implementation and innovation of AI applications.
-
-</div>
-
-<div style="text-align: center;">
-  <p style="font-size: 28px; font-weight: bold;"><font color="green">AI Open Ecological Platform</font>, Accelerating AI Innovative Applications</p>
-</div>
-
-<div class="grid cards" markdown>
-
--   :fontawesome-brands-dev:{ .lg .middle } __For AI <font color="green">Developers</font>__
-
-    ---
-
-    One-stop service for the entire algorithm development process
-
--   :fontawesome-solid-users:{ .lg .middle } __For AI <font color="green">Users</font>__
-
-    ---
-
-    Lightweight, flexible interaction, easy to use, user-friendly
-
-</div>
-
-![AI Open Ecological Platform](../images/home03.png)
-
-<div style="text-align: center;">
-  <p style="font-size: 28px; font-weight: bold;">Comprehensive Computing <font color="green">Operation and Management</font></p>
-</div>
-
-![Comprehensive Computing Operation and Management](../images/home04.png)
-
-[Register and Try d.run](https://console.d.run/){ .md-button .md-button--primary }
+Next step: [Compute Market](./zestu/index.md)
diff --git a/docs/zh/docs/en/zestu/images/createpod2.png b/docs/zh/docs/en/zestu/images/createpod2.png
diff --git a/docs/zh/docs/en/zestu/images/storage01.png b/docs/zh/docs/en/zestu/images/storage01.png
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diff --git a/docs/zh/docs/en/zestu/index.md b/docs/zh/docs/en/zestu/index.md
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+---
+hide:
+  - toc
+---
+
+# Compute Market
+
+The compute market refers to a platform established where independent compute resource
+providers offer various GPU resources and services to users. Users can select suitable
+resource types and billing methods to create container instances based on their actual needs.
+
+- Pay-as-you-go: Cost = Duration * Unit Price
+
+    Duration = Shutdown Time - Startup Time, accurate to the second; no charges during startup or waiting periods.
+    (Hourly billing is supported; if usage is less than an hour, charges will be based on actual usage time, accurate to the second.)
+
+- Annual and Monthly Packages: Annual and monthly packages will soon be supported, with more favorable pricing for single cards. Stay tuned.
+- Resource Types: Types of GPU resources that can be purchased based on demand when inventory is sufficient.
+
+Click **Buy Now** to go to [Create Container Instance](instance.md).
+
+![Compute Market](../images/regis01.png)
diff --git a/docs/zh/docs/en/zestu/instance b/docs/zh/docs/en/zestu/instance
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+---
+hide:
+  - toc
+---
+
+# Create Container Instance
+
+Container instances are commonly used for algorithm development and inference.
+Various GPU types can be selected during creation to flexibly match computing requirements.
+Instances automatically associate with file storage for easier data management.
+They support using system-built images for rapid environment deployment and allow
+convenient development and access through tools like Jupyter Notebook, VSCode, and SSH,
+aiding in efficient algorithm research and inference tasks.
+
+## Prerequisites
+
+- Log in to your d.run account
+- Account balance must be greater than or equal to the unit price of the selected resource type
+
+## Steps
+
+1. Log in to d.run, which defaults to the **Compute Market** .
+   You can choose the required GPU type and click **Buy Now** ; 
+   or switch to **Container Instances** and click the **Create** button to create a new instance.
+
+2. Fill in the basic information according to the requirements below and click **OK**
+
+    ![Create Container Instance 2](../zestu/images/createpod2.png)
+
+    | Name | Description |
+    |------|------------- |
+    | Optional | Up to 64 characters, can only include lowercase letters, numbers, separators ("-"), and dots ("."). Must start and end with a lowercase letter or number. |
+    | Billing Type | - Pay-as-you-go: Cost = Duration * Unit Price. Duration = Shutdown Time - Startup Time, accurate to the second; no charges during startup or waiting periods. Hourly billing is supported; if usage is less than an hour, charges will be based on actual usage time, accurate to the second. <br/> - Annual and Monthly Packages: Annual and monthly packages will soon be supported, with more favorable pricing for single cards. Stay tuned. |
+    | Region | It is recommended to choose a region close to your location to create instances and initialize file storage for faster upload and download speeds. |
+    | Resource Type | GPU model |
+    | Resource | Supports full GPU and vGPU resources; select based on demand. |
+    | File Storage | After initializing file storage, it will be automatically mounted to the instance, with the default mount path being: /root/zestu-data |
+    | Image | Supports Pytorch and TensorFlow; more system images and custom images will be supported in the future, stay tuned. |
+    | Quick Login | You can choose to access the container instance via Jupyter Notebook and VSCode. If unchecked, related components will not be installed, and access tools cannot be changed after creation. |
+
+3. Click **OK** to complete the instance creation.
+
+!!! note
+
+    - No charges will be incurred while the container is in a starting, queuing, shut down, or deleting state; normal charges apply only when it is running or shut down.
+    - The unit price for on-demand billed resources is the cost incurred for running that instance per hour; if actual usage is less than an hour, charges will be based on actual usage time, accurate to the second.