All You Need to Know About NVIDIA CUDA-X GPU Accelerated Data Science and AI - Run Code in GPUs
Krish Naik via YouTube
Future-Proof Your Career: AI Manager Masterclass
Python, Prompt Engineering, Data Science — Build the Skills Employers Want Now
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn about NVIDIA RAPIDS, part of CUDA-X, in this 12-minute video that explores how this open-source suite of GPU-accelerated data science and AI libraries can dramatically improve performance across data pipelines. Discover how RAPIDS offers APIs that match popular open-source data tools while delivering orders-of-magnitude speed improvements at scale. The video includes practical information on trying out RAPIDS through the provided GitHub repository link, which features a cuML and scikit-learn demonstration notebook for Google Colab.
Syllabus
All You Need To Know About NVIDIA CUDA-X GPU Accelerated Data Science and AI -Run Code In GPU's
Taught by
Krish Naik