Charleston, WV – At Quarrier Street

1038 Quarrier St, Suite 100, Charleston, United States, 25301

The venue is located in the heart of Charleston’s downtown business district on Quarrier Street, easily reachable by car via I‑64 or I‑77, with several public parking garages and metered street parking nearby. From Yeager Airport (CRW), around 7 miles east, taxis or rideshares usually take 15–20 minutes via WV‑114 and I‑64 East. Public transit is available via Kanawha Valley Regional Transportation Authority (KRT) buses that stop along Quarrier and Leon Sullivan Way, with the main train station about 1 km away—making the venue accessible for attendees without a car.

Morgantown, WV – Regus at Suncrest Towne Centre

600 Suncrest Towne Centre Drive, 3rd Floor, Morgantown, United States, 26505

The venue is located in the Suncrest Towne Centre office park off US 119 and Morgantown’s University Avenue, with easy car access via I‑79 and I‑68 and free ample on-site parking. From Morgantown Municipal Airport (MGW), a taxi or rideshare takes around 10–15 minutes via US‑119 North. If you’re coming from Pittsburgh International Airport (PIT), a drive of about 1.5 hours along I‑79 South gets you there. Attendees using public transit can take the Mountain Line bus to the Suncrest Town Centre stop, located steps from the entrance.

Explore Our Courses

Administration of CUDA

 35 Hours

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

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

  • Understand the architecture, components, and capabilities of CUDA.
  • Install and configure CUDA environments.
  • Manage and optimize CUDA resources.
  • Debug and troubleshoot common CUDA issues.
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GPU Programming with CUDA and Python

 14 Hours

This instructor-led, live training in West Virginia (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.

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

  • Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
  • Create, compile and launch custom CUDA kernels.
  • Manage GPU memory.
  • Convert a CPU based application into a GPU-accelerated application.
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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

GPU Programming with CUDA and Python

2025-09-23 9:30 am
14 hours
Charleston, WV – At Quarrier Street
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-07 9:30 am
14 hours
Charleston, WV – At Quarrier Street
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-10-21 9:30 am
14 hours
Charleston, WV – At Quarrier Street
$ 4151 (Online)
$ 4151 (Classroom)

GPU Programming with CUDA and Python

2025-11-04 9:30 am
14 hours
Charleston, WV – At Quarrier Street
$ 4151 (Online)
$ 4151 (Classroom)

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CUDA (Compute Unified Device Architecture) Consulting
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