NVIDIA Webinar
Accelerating Python with GPUs
Learn how your applications can benefit from NVIDIA’s CUDA Python software initiatives.
There has been a huge rise in the use of graphics processing units for general purpose computing outside of purely visual applications. From accelerating scientific research simulations, to training artificial intelligences in an extensive range of fields, or analyzing medical images to predicting new proteins.
This talk will look at Python-based software, tools, and frameworks that are available to help researchers and practitioners utilize the technology on NVIDIA GPU-based systems.
Register now to see how to supercharge your applications with the power of NVIDIA GPUS.
Learnings
In this webinar, you'll learn:
- About available Python-based frameworks to accelerate your application
- How to use RAPIDS to accelerate pandas with zero code change
- How to take advantage of libraries such as cuDNN
- How to program directly for GPUs in Python
- Ways to program directly for the hardware on the NVIDIA platform
