NVIDIA AI Workbench: Create and Deploy Generative AI Models, RAG, and LLMs Locally!

In this video, we be going over the launch of AI Workbench by NVIDIA during the 2024 GTC Conference. AI Workbench is a revolutionary toolkit designed to revolutionize the way developers collaborate and migrate AI projects across GPU-enabled environments.
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[Link's Used]:
AI Workbench Website: nvda.ws/4aPrjoC
NVIDIA Launchpad: nvda.ws/4agbQx0
Command to Install WSL 2: www.omgubuntu.co.uk/how-to-in...
Docker Download: docs.docker.com/get-docker/
Create NVCF Key: org.ngc.nvidia.com
Hugging Face Access Key: huggingface.co/settings/tokens
AI Workbench empowers developers to kickstart projects locally and seamlessly scale them across diverse environments, be it on the cloud or within data centers, all at the click of a button. But that's not all - one of its standout features is its ability to streamline access to renowned resources like Hugging Face repos, GitHub, and NVIDIA's NGC, all while boasting a user-friendly interface. This streamlined approach promises to simplify and accelerate workflows for AI developers, ushering in a new era of efficiency and productivity.
But wait, there's more! Our demo video provides an insightful overview of AI Workbench in action, showcasing its capabilities and demonstrating why it's a must-have for any AI enthusiast. From streamlined setup to effortless workload management, AI Workbench is your go-to solution for unleashing the full potential of AI projects.
Key Highlights:
- Streamlined setup for GPU environments
- Effortless project migration and scalability
- Seamless collaboration among team members
- Automation of tasks to accelerate workflows
- Management tools for easy installation of AI resources
If you're ready to revolutionize your AI projects, don't hesitate to like, subscribe, and share this video to spread the word! Join our community of AI enthusiasts and stay tuned for more exciting content.
Additional Tags & Keywords:
#nvidia #AIWorkbench #gtc2024 #aiprojects #GPUEnvironment #artificialintelligence #DeveloperToolkit #WorkflowOptimization #ProductivityBoost
Hashtags:
#nvidia #AIWorkbench #gtc2024 #aiprojects #GPUEnvironment #artificialintelligence

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[@AbdulAlhazred]

So it's a custom gui for docker?

[@krisKrag]

its like ML Studio? need nvidia card? run on cloud like colab? dont understand

[@mohammedmujtabaahmed490]

Can we fine-tune LLMs with this? If yes, how?
Make a video on it.

[@Alex29196]

No way I will install this, i don´t believe in the little gnome guy.