Fortaleza - Meireles

Edifício Etevaldo Nogueira Business Tower, 807 Dom Luis Avenue, 20th and 21st floor, Fortaleza, Brazil, 60160-230

The Fortaleza Center It is located on the 20th and 21st floors of the Etevaldo Nogueira Business tower building his standout business address is strategically positioned in the Dom Luis Avenue - one of the main commercial corridors of the city. Pinto Martins international airport is just a short drive away.

Fortaleza - Etevaldo Nogueira Building

Dom Luis Av., 807 Fortaleza Ceará , Fortaleza, Brazil, 60160-230

Create a strong foundation for your business in the heart of Fortaleza with our prime office spaces. Situated in the bustling commercial and financial hub of Meireles, the Etevaldo Nogueira Building offers convenient access to burgeoning business prospects. Astound your guests with the building’s remarkable architecture and breathtaking city vistas. During your leisure time, immerse yourself in the rich cultural heritage of the area at the Dragão do Mar Center of Art and Culture, a renowned attraction for both tourists and locals alike.

Explore Our Courses

Performance Optimization on Ascend, Biren, and Cambricon

 21 Hours

Ascend, Biren, and Cambricon are leading AI hardware platforms in China, each offering unique acceleration and profiling tools for production-scale AI workloads.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI infrastructure and performance engineers who wish to optimize model inference and training workflows across multiple Chinese AI chip platforms.

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

  • Benchmark models on Ascend, Biren, and Cambricon platforms.
  • Identify system bottlenecks and memory/compute inefficiencies.
  • Apply graph-level, kernel-level, and operator-level optimizations.
  • Tune deployment pipelines to improve throughput and latency.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of profiling and optimization tools on each platform.
  • Guided exercises focused on practical tuning scenarios.

Course Customization Options

  • To request a customized training for this course based on your performance environment or model type, please contact us to arrange.
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Migrating CUDA Applications to Chinese GPU Architectures

 21 Hours

Chinese GPU architectures such as Huawei Ascend, Biren, and Cambricon MLUs offer CUDA alternatives tailored for local AI and HPC markets.

This instructor-led, live training (online or onsite) is aimed at advanced-level GPU programmers and infrastructure specialists who wish to migrate and optimize existing CUDA applications for deployment on Chinese hardware platforms.

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

  • Evaluate compatibility of existing CUDA workloads with Chinese chip alternatives.
  • Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
  • Compare performance and identify optimization points across platforms.
  • Address practical challenges in cross-architecture support and deployment.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on code translation and performance comparison labs.
  • Guided exercises focused on multi-GPU adaptation strategies.

Course Customization Options

  • To request a customized training for this course based on your platform or CUDA project, please contact us to arrange.
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Cambricon MLU Development with BANGPy and Neuware

 21 Hours

Cambricon MLUs (Machine Learning Units) are specialized AI chips optimized for inference and training in edge and datacenter scenarios.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to build and deploy AI models using the BANGPy framework and Neuware SDK on Cambricon MLU hardware.

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

  • Set up and configure the BANGPy and Neuware development environments.
  • Develop and optimize Python- and C++-based models for Cambricon MLUs.
  • Deploy models to edge and data center devices running Neuware runtime.
  • Integrate ML workflows with MLU-specific acceleration features.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of BANGPy and Neuware for development and deployment.
  • Guided exercises focused on optimization, integration, and testing.

Course Customization Options

  • To request a customized training for this course based on your Cambricon device model or use case, please contact us to arrange.
Read more...

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Upcoming Courses

Migrating CUDA Applications to Chinese GPU Architectures

2025-07-21 09:30
21 hours
Fortaleza - Meireles
$ 5687 (Online)
$ 6137 (Classroom)

Cambricon MLU Development with BANGPy and Neuware

2025-08-04 09:30
21 hours
Fortaleza - Etevaldo Nogueira Building
$ 5687 (Online)
$ 6107 (Classroom)

Migrating CUDA Applications to Chinese GPU Architectures

2025-08-18 09:30
21 hours
Fortaleza - Meireles
$ 5687 (Online)
$ 6137 (Classroom)

Cambricon MLU Development with BANGPy and Neuware

2025-09-01 09:30
21 hours
Fortaleza - Etevaldo Nogueira Building
$ 5687 (Online)
$ 6107 (Classroom)

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