Providence, RI – At Rising Sun Mills

166 Valley St, Building 6M, Suite 103, Providence, United States, 02909

The venue is located within the scenic Rising Sun Mills complex on Valley Street in the Innovation & Design District, easily accessible by car via I‑95 or Route 6, with free on-site parking available. From T.F. Green Airport, approximately 6 miles south, taxi or rideshare typically takes 15–20 minutes via I‑95 North and Route 6. Public transit is convenient, with RIPTA buses stopping on Valley Street and nearby Kennedy Plaza, placing the building within walking distance for attendees without a car.

Explore Our Courses

Administration of CUDA

 35 Hours

This instructor-led, live training in Providence (online or onsite) is aimed at beginner-level system administrators and IT professionals who wish to install, configure, manage, and troubleshoot CUDA environments for government use.

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

  • Understand the architecture, components, and capabilities of CUDA for government applications.
  • Install and configure CUDA environments in alignment with public sector workflows.
  • Manage and optimize CUDA resources to meet governance and accountability standards.
  • Debug and troubleshoot common CUDA issues to ensure reliable performance for government operations.
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GPU Programming with CUDA and Python

 14 Hours

This instructor-led, live training in Providence (online or onsite) is aimed at intermediate-level developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs for government projects.

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

  • Leverage the Numba compiler to accelerate Python applications running on NVIDIA GPUs for government use.
  • Develop, compile, and deploy custom CUDA kernels for government applications.
  • Effectively manage GPU memory in government computing environments.
  • Transform a CPU-based application into a GPU-accelerated application suitable for government operations.
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Testimonials (1)

Very interactive with various examples, with a good progression in complexity between the start and the end of the training.

Jenny - Andheo

Course - GPU Programming with CUDA and Python

Upcoming Courses

Administration of CUDA

2026-01-26 09:30
35 hours
Providence, RI – At Rising Sun Mills
$ 6757 (Online)
$ 6757 (Classroom)

GPU Programming with CUDA and Python

2026-02-04 09:30
14 hours
Providence, RI – At Rising Sun Mills
$ 4151 (Online)
$ 4151 (Classroom)

Administration of CUDA

2026-02-23 09:30
35 hours
Providence, RI – At Rising Sun Mills
$ 6757 (Online)
$ 6757 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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