This workshop teaches you the fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® and the Numba compiler GPUs. You’ll work through dozens of hands-on coding exercises, and at the end of the training, you’ll implement a new workflow to accelerate a fully functional linear algebra program originally designed for CPUs, observing impressive performance gains. After the workshop ends, you’ll have additional resources to help you create new GPU-accelerated applications on your own.
Download workshop datasheet (PDF 298 KB)
Duration: 8 hours
Price: Contact us for pricing.
Prerequisites:
Technologies: Numba, NumPy
Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.
Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.
Languages: English, Simplified Chinese, Traditional Chinese
9:00 a.m.–5:00 p.m.
If your organization is interested in boosting and developing key skills in AI, accelerated data science, or accelerated computing, you can request instructor-led training from the NVIDIA DLI.
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