Biren (GPU) Training in Sharjah

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.

Biren AI Accelerators are advanced GPUs tailored for artificial intelligence and high-performance computing tasks, supporting extensive training and inference processes.

This instructor-led live training (online or at your site) is targeted at intermediate to advanced developers looking to develop and fine-tune applications using Biren’s proprietary GPU technology. Practical comparisons will be made with CUDA-based environments.

By the conclusion of this course, attendees will be able to:

• Grasp the architecture and memory structure of Biren GPUs.
• Configure the development environment and utilize Biren’s programming framework.
• Convert and enhance CUDA-style code for use with Biren platforms.
• Implement performance optimization and debugging strategies.

Course Format

• Engaging lectures and discussions.
• Practical application of the Biren SDK in sample GPU tasks.
• Guided exercises centered on porting and optimizing performance.

Customization Options for the Course

• To request a customized training session based on your specific application stack or integration requirements, please contact us to arrange.