Richmond, VA – Regus at Two Paragon Place

6802 Paragon Place, Suite 410, Richmond, United States, 23230

The venue is located within the Two Paragon Place business campus off I‑295 and near Parham Road in North Richmond, offering convenient access by car with free on-site parking. Visitors arriving from Richmond International Airport (RIC), approximately 16 miles northwest, can expect a taxi or rideshare ride of around 20–25 minutes via I‑64 West and I‑295 North. Public transit is available via GRTC buses, with routes stopping along Parham Road and Quioccasin Road, just a short walk to the campus.

Explore Our Courses

Administration of CUDA

 35 Hours

This instructor-led, live training in Richmond (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 Richmond (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
Richmond, VA – Regus at Two Paragon Place
$ 6757 (Online)
$ 9757 (Classroom)

GPU Programming with CUDA and Python

2026-02-04 09:30
14 hours
Richmond, VA – Regus at Two Paragon Place
$ 4151 (Online)
$ 5351 (Classroom)

Administration of CUDA

2026-02-23 09:30
35 hours
Richmond, VA – Regus at Two Paragon Place
$ 6757 (Online)
$ 9757 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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