NobleProg Training Place, City Bismarck, ND - Juniper Workantile

Bismarck, ND - Juniper Workantile

122 North 4th St., Bismarck, United States, 58501

The venue is located in historic downtown Bismarck at 122 North 4th Street, easily accessible by car via I‑94 or US‑83 with street and nearby garage parking available. From Bismarck Municipal Airport (BIS), take Highway 83 South into town—a taxi or rideshare typically takes about 10 minutes. Public transit users can take Bis‑Man Transit bus routes stopping within a block on 4th Street, followed by a short walk to the venue.
NobleProg Training Place, City Fargo, ND - Regus - Brandt Office Park

Fargo, ND - Regus - Brandt Office Park

3523 45th Street South, Suite 100, Fargo, United States, 58104

The venue is located just off I‑29 in Fargo’s well-connected Brandt Office Park, easily accessible by car via exit 65 on I‑29; free on-site parking is available for all attendees. From Hector International Airport (FAR), take I‑29 South, exit at 45th Street, and drive approximately 5 minutes—taxi or rideshare options are plentiful. Public transit is also convenient with local MATBUS routes stopping near 45th Street South, followed by a short walk into the business park.
NobleProg Training Place, City Fargo, ND - Railyard Offices NobleProg Training Place, City Fargo, ND - Railyard Offices

Fargo, ND - Railyard Offices

1630 1st Avenue North, Suite B, Fargo, United States,  58102

The venue is situated in the midst of downtown Fargo at 1630 1st Avenue North, conveniently accessible by car via I‑94 or I‑29 with exits onto 1st Avenue North; public parking is available nearby. From Hector International Airport, take I‑94 East to exit toward downtown, then follow signs to 1st Avenue North—approximately a 15‑minute taxi or rideshare ride. Public transit riders can use MATBUS routes that stop within walking distance, and the venue is located in a pedestrian-friendly area.

Explore Our Courses

Performance Optimization on Ascend, Biren, and Cambricon

 21 Hours

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

This instructor-led, live training (available online or onsite) is designed for advanced-level AI infrastructure and performance engineers who seek 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 inefficiencies in memory and compute performance.
  • Implement graph-level, kernel-level, and operator-level optimizations.
  • Refine deployment pipelines to enhance throughput and reduce latency.

Format of the Course

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

Course Customization Options

  • To request a customized training for government or other specific environments based on your performance needs 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, provide viable alternatives to CUDA, specifically designed for the local AI and HPC markets.

This instructor-led, live training (online or onsite) is targeted at advanced-level GPU programmers and infrastructure specialists who are looking 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 the compatibility of current 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 lectures and discussions.
  • Hands-on code translation and performance comparison labs.
  • Guided exercises focusing on multi-GPU adaptation strategies.

Course Customization Options for Government

  • To request a customized training for this course based on your specific platform or CUDA project, please contact us to arrange.
Read more...

GPU Programming on Biren AI Accelerators

 21 Hours
Biren AI Accelerators are high-performance GPUs designed for artificial intelligence and high-performance computing (HPC) workloads, with robust support for large-scale training and inference. This instructor-led, live training (available online or onsite) is aimed at intermediate to advanced developers who wish to program and optimize applications using Biren’s proprietary GPU stack. The course also includes 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 the Biren SDK in sample GPU workloads. - Guided exercises focused on porting and performance tuning. **Course Customization Options** To request a customized training for government or based on your specific 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

2026-01-12 09:30
21 hours
Fargo, ND - Regus - Brandt Office Park
$ 4054 (Online)
$ 5854 (Classroom)

Migrating CUDA Applications to Chinese GPU Architectures

2026-01-26 09:30
21 hours
Fargo, ND - Regus - Brandt Office Park
$ 4054 (Online)
$ 5854 (Classroom)

Performance Optimization on Ascend, Biren, and Cambricon

2026-02-09 09:30
21 hours
Fargo, ND - Regus - Brandt Office Park
$ 4054 (Online)
$ 5854 (Classroom)

GPU Programming on Biren AI Accelerators

2026-02-23 09:30
21 hours
Fargo, ND - Regus - Brandt Office Park
$ 4054 (Online)
$ 5854 (Classroom)

Migrating CUDA Applications to Chinese GPU Architectures

2026-03-09 09:30
21 hours
Fargo, ND - Regus - Brandt Office Park
$ 4054 (Online)
$ 5854 (Classroom)

Performance Optimization on Ascend, Biren, and Cambricon

2026-03-23 09:30
21 hours
Fargo, ND - Regus - Brandt Office Park
$ 4054 (Online)
$ 5854 (Classroom)

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