NVIDIA's NEW AI Workbench for AI Engineers
NVIDIA AI Workbench (NVWB) is a software toolkit designed to help AI engineers and data scientists build in GPU-enabled environments. Using NVWB, we can set up a local AI project with a prebuilt template with a few clicks. Then, after building out our project locally, we can quickly deploy it to a more powerful remote GPU instance, switch to a different remote, or go back to local. By abstracting away many repetitive and tedious boilerplate actions, NVWB aims to help AI engineers focus on the core of AI development. It helps us reduce time spent on managing our dev environment, deployments, or maintaining remote compute instances. In this tutorial, we'll learn about NVWB's features, where to use it, and how to use it. I'm using NVIDIA RTX 5000 Ada Generation Laptop GPU here from Dell Precision AI-ready workstations — enabling substantial performance across AI projects and streamlining both training and development phases while still keeping things lightweight for travel. More info here https://dell.com/precisionai 📌 Download NVWB: https://nvda.ws/4acZNRZ 📖 Read the Article: https://www.aurelio.ai/learn/ai-workbench-intro 💻 Deploying remote EC2 instances for AI Workbench: https://www.aurelio.ai/learn/ai-workbench-remote 📌 Code: https://github.com/NVIDIA/workbench-example-rapids-cudf/blob/main/code/cudf-pandas-demo.ipynb 👋🏼 AI Consulting: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ 00:00 NVIDIA AI Workbench 01:18 Installing AI Workbench 04:05 Sponsor Segment 05:46 AI Workbench Locations 06:54 Creating and Loading Projects 09:21 AI Workbench Projects 14:18 Jupyterlab in AI Workbench 17:46 Using CuDF and Pandas 19:51 Finishing up with AI Workbench #ai #artificialintelligence #chatbot #nlp #ad
