Huawei Ascend Training in Sharjah

CloudMatrix is Huawei’s comprehensive AI development and deployment platform tailored to support scalable, production-ready inference pipelines.

This instructor-led live training (online or in-person) targets beginner to intermediate-level AI professionals aiming to deploy and monitor AI models using the CloudMatrix platform, integrated with CANN and MindSpore.

By the end of this course, participants will be able to:

• Utilize CloudMatrix for model packaging, deployment, and serving.
• Convert and optimize models for Ascend chipsets.
• Establish pipelines for real-time and batch inference tasks.
• Monitor deployments and fine-tune performance in production environments.

Course Format

• Interactive lecture and discussion sessions.
• Hands-on experience with CloudMatrix using practical deployment scenarios.
• Guided exercises focused on conversion, optimization, and scaling techniques.

Customization Options for the Course

• To request a customized training based on your AI infrastructure or cloud environment, please contact us to arrange.

The leading AI hardware platforms in China—Ascend, Biren, and Cambricon—provide distinctive acceleration and profiling tools tailored for large-scale AI workloads.

This instructor-led training session (conducted either online or on-site) is designed for advanced-level engineers specializing in AI infrastructure and performance. The goal is to enhance their ability to optimize model inference and training processes across various Chinese AI chip platforms.

Upon completion of this course, participants will be able to:

• Evaluate models using the Ascend, Biren, and Cambricon platforms.
• Detect system limitations and inefficiencies in memory and compute resources.
• Implement optimizations at the graph level, kernel level, and operator level.
• Refine deployment pipelines to boost throughput and reduce latency.

Course Format

• An interactive lecture combined with discussions.
• Practical use of profiling and optimization tools on each platform.
• Guided exercises centered around real-world tuning scenarios.

Customization Options for the Course

• If you require a customized training session based on your specific performance environment or model type, please contact us to arrange this.

Chinese GPU architectures like Huawei Ascend, Biren, and Cambricon MLUs provide alternatives to CUDA that are specifically designed for the local AI and HPC markets in the UAE.

This instructor-led training (online or at your location) is targeted at advanced GPU programmers and infrastructure specialists who want to migrate and optimize existing CUDA applications for deployment on Chinese hardware platforms.

By the end of this course, participants will be able to:

• Determine the compatibility of current CUDA workloads with Chinese chip alternatives.
• Migrate CUDA codebases to environments such as Huawei CANN, Biren SDK, and Cambricon BANGPy.
• Analyze performance differences and pinpoint optimization opportunities across various platforms.
• Overcome practical challenges in cross-architecture support and deployment.

Course Format

• Interactive lectures and discussions.
• Hands-on labs for code translation and performance comparison.
• Guided exercises focusing on multi-GPU adaptation strategies.

Customization Options

• To request a customized training based on your platform or CUDA project, please contact us to arrange the details.

The Huawei Ascend series is a collection of AI processors tailored for efficient inference and training tasks.

This instructor-led live training (delivered online or at your location) targets intermediate-level AI engineers and data scientists aiming to create and refine neural network models with the Huawei Ascend platform and CANN toolkit.

Upon completion, participants will be able to:

• Establish and configure the CANN development environment.
• Create AI applications using MindSpore and CloudMatrix workflows.
• Tune performance on Ascend NPUs with custom operators and tiling techniques.
• Deploy models in both edge and cloud settings.

Course Format

• Interactive lectures and discussions.
• Practical use of Huawei Ascend and the CANN toolkit through sample applications.
• Guided exercises centered on model creation, training, and deployment.

Customization Options for the Course

• If you wish to tailor this course based on your specific infrastructure or datasets, please contact us to arrange a customized session.