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PT26957
Training Summary
This class introduces tools for GPU-accelerated computation — including CuPy, RAPIDS, and Numba — and their integration with Dask for usage on large datasets and multiple GPUs.
Prerequisites
The following prerequisites are required for this course:
- Python, basic level
- Understanding of ML concepts and workflow, basic level
- Dask programming, basic level
Duration
1 Day/Lecture & Lab
Audience
This class introduces tools for GPU-accelerated computation — including CuPy, RAPIDS, and Numba — and their integration with Dask for usage on large datasets and multiple GPUs.
Course Topics
- Introduction
- Partners for High-Performance Python
- NVIDIA RAPIDS
- RAPIDS and Dask
- Architecture and Problem Solving