Louisville, KY – Regus at Ormsby III Forest Green

10200 Forest Green Boulevard, Louisville, United States, 40223

The venue is located in the Ormsby III office within Forest Green business park in south Louisville, easily accessible by car via I‑65 and Gene Snyder Freeway (I‑265), and offers abundant free on-site parking. From Louisville Muhammad Ali International Airport (SDF), approximately 12 miles northwest, a taxi or rideshare takes around 15–20 minutes via US‑150 East and I‑65 South. Public transit is available via TARC buses serving Forest Green Boulevard and Ormsby Parkway, with stops near the park entrance and a short walk to the building.

Lexington, KY – Regus at Blazer Parkway

3499 Blazer Parkway, Suite 330, Lexington, United States,  40509

The venue is located in the Blazer Parkway office park, easily accessible by car via I‑75 and Man o’ War Boulevard, with generous on-site parking available. From Blue Grass Airport (LEX), about 8 miles northeast, a taxi or rideshare typically takes 15 minutes via I‑75 South. Public transit users can take Lextran bus routes that serve Blazer Parkway, followed by a short walk through the office park to reach the Regus building.
NobleProg Training Place, City Louisville, KY – Regus at MET Building

Louisville, KY – Regus at MET Building

312 S 4th St Downtown, Suite 700, Louisville , United States, 40202

The venue is located in the heart of downtown Louisville within the historic MET Building on Fourth Street, easily reachable by car via I‑64, I‑65, or I‑71, with several public parking garages nearby. From Louisville Muhammad Ali International Airport (SDF), approximately 12 miles southwest, a taxi or rideshare takes around 15–20 minutes via I‑65 North and Brook Street. Public transit is available via TARC buses with stops along Fourth and Broadway, and the building is within a five-minute walk from major bus routes—ideal for attendees arriving without a car.

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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GPU Programming on Biren AI Accelerators

 21 Hours

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

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

  • Understand Biren GPU architecture and memory hierarchy.
  • Set up the development environment and use Biren’s programming model.
  • Translate and optimize CUDA-style code for Biren platforms.
  • Apply performance tuning and debugging techniques.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of Biren SDK in sample GPU workloads.
  • Guided exercises focused on porting and performance tuning.

Course Customization Options

  • To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.
Read more...

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Upcoming Courses

Performance Optimization on Ascend, Biren, and Cambricon

2025-10-29 9:30 am
21 hours
Louisville, KY – Regus at Ormsby III Forest Green
$ 4054 (Online)
$ 4054 (Classroom)

Performance Optimization on Ascend, Biren, and Cambricon

2025-11-12 9:30 am
21 hours
Louisville, KY – Regus at Ormsby III Forest Green
$ 4054 (Online)
$ 4054 (Classroom)

Migrating CUDA Applications to Chinese GPU Architectures

2025-11-26 9:30 am
21 hours
Louisville, KY – Regus at Ormsby III Forest Green
$ 4054 (Online)
$ 4054 (Classroom)

Performance Optimization on Ascend, Biren, and Cambricon

2025-12-10 9:30 am
21 hours
Louisville, KY – Regus at Ormsby III Forest Green
$ 4054 (Online)
$ 4054 (Classroom)

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