Merge pull request #3903 from windsonsea/nav

[en] update baize/intro

docs/en/docs/baize/intro/index.md

@@ -1,40 +1,55 @@
 ---
+MTPE: windsonsea
+date: 2024-02-23
 hide:
   - toc
 ---
 
-# What is Cloud Native AI
+# What is Baize
 
-Cloud Native AI is an AI computing platform based on a cloud-native operating system introduced by DaoCloud (referred to as the DaoCloud AI Computing Platform). The DaoCloud AI Computing Platform provides a software and hardware integrated AI computing experience, integrating heterogeneous computing power, optimizing GPU performance, achieving unified scheduling and operation of computing resources, maximizing computing efficiency, reducing computing costs, and providing optimized AI development frameworks to simplify AI development and deployment, accelerating the implementation of AI applications in various industries.
+Baize is a cloud native AI computing platform developed by DaoCloud that can running on any K8s-based system.
+This innovative platform, known as Cloud Native AI Platform, offers a seamless integration of software
+and hardware for a superior AI computing experience. Baize combines various computing powers,
+optimizes GPU performance, streamlines the scheduling and management of computing resources,
+and enhances computing efficiency. With its focus on reducing costs and simplifying AI development,
+Baize provides optimized AI development frameworks that accelerate the implementation of AI applications
+across different industries.
 
 **Key Features**
 
 - Fully Managed Computing Resources
 
-    Leveraging DCE (DaoCloud Enterprise), it provides powerful infrastructure capabilities, supporting super-large-scale computing clusters, heterogeneous GPUs, and one-stop hosting, as well as a series of software and hardware integrated acceleration solutions such as vGPU.
+    Powered by DCE (DaoCloud Enterprise), Baize offers robust infrastructure capabilities to support
+    large-scale computing clusters, heterogeneous GPUs, and comprehensive hosting services.
+    It also includes integrated acceleration solutions like vGPU.
 
-- Data Orchestration
+- Dataset Management
 
-    Supports data management and orchestration capabilities during model development, providing functions such as dataset management, multi-data source access, dataset preloading, etc. It is optimized from the underlying container storage engine to ensure efficient and stable data processing.
+    Baize supports efficient dataset management during model development, with features such as
+    dataset organization, multi-data source access, and dataset preloading.
+    The underlying container storage engine ensures smooth and effective data processing.
 
 - Development Environment Management
 
-    Meets the needs of MLOps and LLMOps engineers for development environments, providing various development environments including JupyterLab, VSCode (in progress), supporting custom development environments, and one-click mounting of various GPU, dataset, and other resources.
+    Baize caters to the requirements of MLOps and LLMOps engineers by providing a range of
+    development environments, including JupyterLab and upcoming support for VSCode. It allows
+    for custom development environments and easy access to GPU, dataset, and other resources.
 
-- Task Management
+- Job Management
 
-    Supports full lifecycle management of training tasks, providing various ways to quickly create tasks; supports mainstream task frameworks such as Pytorch, TensorFlow, PaddlePaddle, naturally supporting various task scheduling types including single-machine, distributed, multi-node, multi-GPU, etc.
+    Baize offers comprehensive job lifecycle management, enabling quick creation of jobs and support
+    for popular job frameworks like Pytorch, TensorFlow, and PaddlePaddle. It includes various
+    job scheduling options, such as single-machine, distributed, multi-node, and multi-GPU setups.
 
 - GPU Management
 
-    Allows viewing of all GPU resources and GPU usage, supports viewing the current and historical running tasks in GPUs, facilitating GPU stress assessment.
+    Users can monitor GPU resources and usage through Baize, with features for tracking current
+    and historical job activities on GPUs. This facilitates GPU stress assessment and optimization.
 
 - Queue Management
 
-    Supports creating queues and associating them with workspaces to ensure the coordination and isolation of queue resources in various clusters.
-
-**Product Logical Architecture**
-
+    Baize allows for the creation of queues and their association with workspaces to ensure
+    efficient coordination and resource isolation within different clusters.
 
 [Download DCE 5.0](../../download/index.md){ .md-button .md-button--primary }
 [Install DCE 5.0](../../install/index.md){ .md-button .md-button--primary }

docs/en/navigation.yml

@@ -979,9 +979,9 @@ nav:
                       - Config Parameters: middleware/minio/user-guide/config.md
                       - MinIO Identity Management: middleware/minio/user-guide/user-management.md
       - Cloud Native AI:
-          - Cloud Native AI:
+          - Baize:
               - Introduction:
-                  - What is Cloud Native AI: baize/intro/index.md
+                  - What is Baize: baize/intro/index.md
                   - Installation: baize/intro/install.md
                   - First Time Usage: baize/intro/first.md
               - Development Console:

docs/zh/navigation.yml

@@ -4,7 +4,7 @@ nav:
   - 产品文档:
       - 首页: dce/index.md
       - 云原生启航: dce/get-started.md
-      - 安装:
+      - 探索和安装:
           - 产品介绍:
               - 申请社区免费体验: dce/license0.md
               - 功能和优势: dce/features.md