Columbia, SC – Regus at Meridian Building

1320 Main Street, Suite 300, Columbia, United States, 29201

The venue is located in the heart of Columbia’s Central Business District within the Meridian Building on Main Street, easily reachable by car via I‑77 or I‑20 with attached eight-level garage parking and nearby municipal lots. From Columbia Metropolitan Airport (CAE), about 12 miles southwest, a taxi or rideshare takes approximately 15–20 minutes via Hwy 48 and Elmwood Avenue. Public transit access is convenient: several COMET bus routes stop within a block, and the Columbia Amtrak station is a 5‑minute walk away—making it accessible even for attendees without a vehicle.

North Charleston, SC – Regus at Faber Center

4000 Faber Pl Dr, Suite 300, North Charleston, United States, 29405

The venue sits within the four-acre Executive Park at Faber Center, just off I‑526 and minutes from Charleston International Airport. Visitors arriving by car benefit from free and adjacent paid parking available on-site and around the business park. From Charleston International Airport (CHS), which is approximately 4 miles away, a taxi or rideshare takes around 10 minutes via International Boulevard. Public transit options include CARTA buses clearing stops in the vicinity, though services are limited and attendees may prefer car or rideshare—making it convenient even for those without a car.

Charleston, SC – Regus at Downtown Charleston

170 Meeting Street, Suite 110, Charleston, United States, 29401

The venue is located in vibrant downtown Charleston on Meeting Street, easily accessible by car via I‑26 or U.S. 17, with several public parking garages nearby. Visitors arriving at Charleston International Airport (CHS), approximately 12 miles northwest, can reach the venue in about 20–25 minutes by taxi or rideshare via I‑26 East then U.S. 17 South. Public transit is available via CARTA bus routes that stop along Meeting and King Streets, placing the center within a short walk of several lines serving the downtown district

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:

  • Evaluate models on Ascend, Biren, and Cambricon platforms.
  • Identify system bottlenecks and memory/compute inefficiencies.
  • Implement graph-level, kernel-level, and operator-level optimizations.
  • Adjust deployment pipelines to enhance throughput and reduce latency.

Format of the Course

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

Course Customization Options

  • To request a customized training for government based on your specific 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, including Huawei Ascend, Biren, and Cambricon MLUs, offer CUDA alternatives specifically designed for the 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 for government use.

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

  • Evaluate the compatibility of existing CUDA workloads with Chinese chip alternatives.
  • Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
  • Compare performance metrics and identify optimization opportunities across different platforms.
  • Address practical challenges in supporting and deploying applications across multiple architectures.

Format of the Course

  • Interactive lecture and discussion sessions.
  • 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 specific platform or CUDA project, please contact us to arrange.
Read more...

Cambricon MLU Development with BANGPy and Neuware

 21 Hours

Cambricon MLUs (Machine Learning Units) are specialized AI chips designed to optimize inference and training in edge and data center environments.

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 for government applications.

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

  • Set up and configure the BANGPy and Neuware development environments for government use.
  • Develop and optimize Python- and C++-based models for Cambricon MLUs in alignment with public sector workflows.
  • Deploy models to edge and data center devices running Neuware runtime, ensuring compliance with governance standards.
  • Integrate machine learning workflows with MLU-specific acceleration features to enhance performance and accountability.

Format of the Course

  • Interactive lecture and discussion focused on government applications.
  • Hands-on use of BANGPy and Neuware for development and deployment in a public sector context.
  • Guided exercises centered on optimization, integration, and testing tailored to government needs.

Course Customization Options

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

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Upcoming Courses

Performance Optimization on Ascend, Biren, and Cambricon

2026-01-19 09:30
21 hours
North Charleston, SC – Regus at Faber Center
$ 4054 (Online)
$ 4054 (Classroom)

Cambricon MLU Development with BANGPy and Neuware

2026-02-02 09:30
21 hours
North Charleston, SC – Regus at Faber Center
$ 4054 (Online)
$ 4054 (Classroom)

Cambricon MLU Development with BANGPy and Neuware

2026-02-16 09:30
21 hours
North Charleston, SC – Regus at Faber Center
$ 4054 (Online)
$ 4054 (Classroom)

Migrating CUDA Applications to Chinese GPU Architectures

2026-03-02 09:30
21 hours
North Charleston, SC – Regus at Faber Center
$ 4054 (Online)
$ 4054 (Classroom)

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