https://github.com/srgchrksv/nvidia-nim

Nvidia NIM description and lightning fast API example usage
https://github.com/srgchrksv/nvidia-nim

api generative-ai jupyter-notebook nvidia nvidia-gpu text-to-image

Last synced: 27 days ago
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Nvidia NIM description and lightning fast API example usage

• Host: GitHub
• URL: https://github.com/srgchrksv/nvidia-nim
• Owner: srgchrksv
• Created: 2024-06-08T15:53:01.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-08T17:10:56.000Z (8 months ago)
• Last Synced: 2024-11-11T05:11:42.472Z (3 months ago)
• Topics: api, generative-ai, jupyter-notebook, nvidia, nvidia-gpu, text-to-image
• Language: Jupyter Notebook
• Homepage:
• Size: 4.01 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# NVIDIA NIM

"NVIDIA NIM, part of NVIDIA AI Enterprise, is a set of accelerated inference microservices that allow organizations to run AI models on NVIDIA GPUs anywhere" Nvidia

Try API's and models explorer, with some free credits even without registration: [https://build.nvidia.com/explore/discover](https://build.nvidia.com/explore/discover)

Github examples:

[https://github.com/NVIDIA/GenerativeAIExamples](https://github.com/NVIDIA/GenerativeAIExamples)

Nvidia NIM:

[https://developer.nvidia.com/nim](https://developer.nvidia.com/nim)

In my Jupyter notebook you can try NVIDIA NIM ligthining fast stabilityai/stable-diffusion-xl API for text-to-image with API key from [https://build.nvidia.com/explore/discover](https://build.nvidia.com/explore/discover) there also try models with no keys and registrations.