NobleProg Training Place, City Sioux Falls, SD

Sioux Falls, SD

100 E 6th St, Sioux Falls, United States, 57104

The venue is located in the heart of downtown Sioux Falls at 100 East 6th Street in the historic Milwaukee Freight Depot (“The Depot”), easily accessible by car via I‑229 with exits to Phillips or Minnesota Avenue, with both on‑site and nearby public parking available. From Sioux Falls Regional Airport (FSD), head west on SD‑42, then north on I‑229 and exit at Phillips Avenue; the taxi or rideshare trip typically takes about 10 minutes. Public transit users can take Sioux Area Metro buses along Phillips or East 6th Street, followed by a brief walk into a vibrant, pedestrian‑friendly space.

Pierre, South Dakota

808 W Sioux Ave, Pierre, United States, 57501

The ClubHouse Hotel & Suites is located just east of downtown Pierre at 1600 East Highway 14, easily accessible by car via US‑83/US‑14 and offers free on-site parking. From Pierre Regional Airport (PIR), take US‑83 South to East Highway 14—taxi or rideshare takes approximately 5 minutes. Public transit users can catch River Cities Transit to stops on East Hwy 14, followed by a short walk to the hotel entrance.
NobleProg Training Place, City Sioux Falls, SD - Regus - CNA Building

Sioux Falls, SD - Regus - CNA Building

101 S Reid St, Suite 307, Sioux Falls, United States, 57103

The venue is located in the heart of downtown Sioux Falls at 101 South Reid Street in the LEED-certified CNA Building, which offers convenient access via I‑229 with exits to Reid or Phillips Avenue. On-site and nearby public garages provide ample parking. From Sioux Falls Regional Airport (FSD), it’s a 7‑minute drive south via SD‑42; taxi or rideshare typically takes about 10 minutes. Public transit users can take Sioux Area Metro buses along Phillips or Reid Street with stops directly outside the building.

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.
Read more...

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

Cambricon MLU Development with BANGPy and Neuware

2025-07-14 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

Performance Optimization on Ascend, Biren, and Cambricon

2025-07-28 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

Performance Optimization on Ascend, Biren, and Cambricon

2025-08-11 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

Migrating CUDA Applications to Chinese GPU Architectures

2025-08-25 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

Cambricon MLU Development with BANGPy and Neuware

2025-09-08 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

Cambricon MLU Development with BANGPy and Neuware

2025-09-22 9:30 am
21 hours
Sioux Falls, SD
$ 4054 (Online)
$ 4054 (Classroom)

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