MindSpore 2.4 Officially Released

Native Support for Supernodes and Upgraded Distributed Parallel Capabilities

Knowledge Map

Mastering MindSpore: From Beginner to Advanced

Tutorials

From Quickstart to Experts

MindSpore Activities

Community Communication and Sharing

MindSpore

Native Distributed Model Training

Provides multiple parallel capabilities for foundation model training, as well as easy-to-use APIs for configuring distributed policies for foundation models, helping developers quickly implement distributed training of high-performance foundation models.

AI4S Converged Computing Framework

Fully Unleashing Hardware Potential

Quick Deployment in All Scenarios

Events & News

Install

Commands

Click to Installation Guide

Accessing a Cloud Platform

Cloud platforms help users quickly create and deploy models and manage the entire AI workflow. Choose a cloud platform to get started with MindSpore.

Start Learning

An introduction to Huawei Al full stack is given and the implementation of common deep learning tasks is described through the basic MindSpore functions.

Image Classification

The CIFAR-10 dataset is used to describe how MindSpore processes image classification tasks.

Sentiment Analysis

Build an NLP model for text analysis and inference to analyze and classify sentiments.

MindSpore LLM Platform

Learn and practise

Online courses, from beginner to expert

Repositories

Ecosystem

Provides open source AI research projects, case collections, and task-specific SOTA models and derivatives Go to view all projects

Contact and Help

Any Bugs or advices, submit an Issue in Gitee

Post to discuss, get professional answers

Cooperative association

Interested cooperation can be contacted by email contact@public.mindspore.cn

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Community Partners