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-workb...
💻 Deploying remote EC2 instances for AI Workbench:
https://www.aurelio.ai/learn/ai-workb...
📌 Code:
https://github.com/NVIDIA/workbench-e...
👋🏼 AI Consulting:
https://aurelio.ai
👾 Discord:
/ discord
Twitter: / jamescalam
LinkedIn: / 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
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