Overview
Explore NVIDIA's AI Workbench (NVWB), a powerful software toolkit designed for AI engineers and data scientists working in GPU-enabled environments. Learn how to set up local AI projects using prebuilt templates, deploy to remote GPU instances, and seamlessly switch between local and remote environments. Discover how NVWB streamlines the development process by abstracting away repetitive tasks, allowing developers to focus on core AI development. Gain insights into NVWB's features, use cases, and implementation through a comprehensive tutorial. Follow along as the video demonstrates installation, project creation, JupyterLab integration, and practical applications using CuDF and Pandas. Enhance your AI development workflow and reduce time spent on environment management and deployments with this cutting-edge tool from NVIDIA.
Syllabus
NVIDIA AI Workbench
Installing AI Workbench
Sponsor Segment
AI Workbench Locations
Creating and Loading Projects
AI Workbench Projects
Jupyterlab in AI Workbench
Using CuDF and Pandas
Finishing up with AI Workbench
Taught by
James Briggs