GPU Training Courses

GPU Training Courses

I corsi di formazione GPU (Graphics Processing Unit) in diretta condotti da istruttori dimostrano attraverso discussioni interattive e pratiche pratiche sui fondamenti della GPU e su come programmare le GPU. L'addestramento GPU è disponibile come "allenamento dal vivo in loco" o "allenamento dal vivo a distanza". La formazione on-site in loco può essere svolta localmente presso la sede del cliente in Italia o nei centri di formazione aziendale NobleProg in Italia . La formazione in remoto dal vivo viene effettuata tramite un desktop remoto interattivo. NobleProg: il tuo fornitore di formazione locale

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Sottocategorie Graphics Processing Unit

Schema generale del corso Graphics Processing Unit (GPU)

Nome del corso
Durata
Overview
Nome del corso
Durata
Overview
14 hours
Overview
Questo corso illustra come programmare GPU per il calcolo parallelo. Alcune delle applicazioni includono l'apprendimento profondo, l'analisi e le applicazioni di ingegneria.
21 hours
Overview
This instructor-led, live training course in Italia covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA. Some of the applications include deep learning, analytics, image processing and engineering applications.
14 hours
Overview
This instructor-led, live training in Italia (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.
14 hours
Overview
This instructor-led, live training in Italia (online or onsite) is aimed at developers who wish to build hardware-accelerated object detection and tracking models to analyze streaming video data.

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

- Install and configure the necessary development environment, software and libraries to begin developing.
- Build, train, and deploy deep learning models to analyze live video feeds.
- Identify, track, segment and predict different objects within video frames.
- Optimize object detection and tracking models.
- Deploy an intelligent video analytics (IVA) application.

Prossimi corsi Graphics Processing Unit (GPU)

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