Online or onsite, instructor-led live CUDA (Compute Unified Device Architecture) training courses demonstrate through interactive hands-on practice how to use a CUDA-enabled GPU for general purpose processing.
CUDA training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live CUDA (Compute Unified Device Architecture) training can be carried out locally on customer premises in Barranquilla or in NobleProg corporate training centers in Barranquilla.
NobleProg -- Your Local Training Provider
Barranquilla - Buro 51
Calle 94 #51B-43, Barranquilla, colombia
Buro 51 is a first class mix use complex which incorporates a class “A” office building and a 4 star Movich Hotel. Ground floor offers a variety of retail shops and amenities, and the building offeres unobstructed views of Barranquilla.
The center is located in Buenavista Trade Area, which is the most upscale and exclusive of the city with easy access to main highways to the international airport and port. Offers:
Fully equipped offices, ready to start working
Meeting rooms and videoconferencing studio
Regus IT high speed internet access
Administrative support on request
Major transport link - City/town center
Break-out areas
Elevate your presence with distinction at this prestigious office space situated in an enviable locale nestled between downtown and the Magdalena River. Green Towers boasts proximity to local enterprises and major banks, with convenient access to bus stops for seamless commuting.
This instructor-led, live training in Barranquilla (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.
This instructor-led, live training in Barranquilla (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.
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