Course Code: aicloudmatrix
Duration: 21 hours
Prerequisites:
  • 了解AI模型训练工作流程
  • 具备Python为基础的机器学习框架经验
  • 对云部署概念有基本了解

受众

  • AI运维团队
  • 机器学习工程师
  • 使用华为基础设施的云部署专家
Overview:

CloudMatrix 是华为统一的 AI 开发和部署平台,旨在支持可扩展的生产级推理管道。

这项由讲师指导的培训(线上或线下)面向希望使用 CloudMatrix 平台(整合 CANN 和 MindSpore)部署和监控 AI 模型的初级到中级 AI 专业人士。

培训结束后,参与者将能够:

  • 使用 CloudMatrix 进行模型封装、部署和服务。
  • 为 Ascend 芯片组转换和优化模型。
  • 为即时和批量推理任务设置管道。
  • 在生产环境中监控部署并调整性能。

课程形式

  • 互动式讲座和讨论。
  • 使用 CloudMatrix 进行实际部署场景的实操。
  • 专注于转换、优化和扩展的指导练习。

课程定制选项

  • 如需根据您的 AI 基础设施或云环境定制此课程,请联系我们安排。
Course Outline:

华为云Matrix简介

  • 云Matrix生态系统与部署流程
  • 支援的模型、格式和部署模式
  • 典型用例与支援的晶片组

准备模型部署

  • 从训练工具汇出模型(MindSpore, TensorFlow, PyTorch)
  • 使用ATC(Ascend Tensor Compiler)进行格式转换
  • 静态与动态形状模型

部署到云Matrix

  • 服务创建与模型注册
  • 通过UI或CLI部署推理服务
  • 路由、身份验证与存取控制

处理推理请求

  • 批次与即时推理流程
  • 数据预处理与后处理管道
  • 从外部apps呼叫云Matrix服务

监控与性能调优

  • 部署日志与请求追踪
  • 资源扩展与负载平衡
  • 延迟调优与吞吐量优化

与企业工具整合

  • 将云Matrix与OBS和ModelArts连接
  • 使用工作流程与模型版本控制
  • 用于模型部署与回滚的CI/CD

端到端推理管道

  • 部署完整的图像分类管道
  • 基准测试与验证准确性
  • 模拟故障转移与系统警报

总结与下一步

Sites Published:

United Arab Emirates - AI Inference and Deployment with CloudMatrix

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Uzbekistan - AI Inference and Deployment with CloudMatrix