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. Lausanne onsite live CUDA (Compute Unified Device Architecture) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Lausanne
Rue du Port-Franc 22, Lausanne, Switzerland, 1003
Overview
Our training facilities are located at Rue du Port-Franc 22 in Lausanne. Located on th...
Overview
Our training facilities are located at Rue du Port-Franc 22 in Lausanne. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Lausanne.
Directions
The NobleProg training facilities are located in the heart of downtown Lausanne, the centre of this vibrant city.
Parking
Cars can be parked in the area along Rue du Port-Franc and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rue du Port-Franc there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
This instructor-led, live training in Lausanne (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 Lausanne (online or onsite) is aimed at 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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