More ways to run Llama 3 | Build with Meta Llama @AIatMeta
More ways to run Llama 3 | Build with Meta Llama  @AIatMeta
Uploaded May 2024 | Updated September 2026, 5 hours ago
Download Meta Llama 3 ➡️ go.fb.me/0mr91h

Navyata Bawa from Meta will discuss some of the different ways to host or run Meta Llama models, including AWS, Kaggle, Vertex AI and others — and provide you with examples, demos and resources to help you get started.

# Timestamps
00:00 Intro
00:37 Running Llama in the cloud
01:03 Running Llama on AWS
01:49 Running Llama on Kaggle
02:22 Running Llama on Google Cloud Platform
03:13 Running Llama on API providers
03:43 Using TorchServe to serve Llama models
04:20 Using VLLM and TGI to deploy Llama
05:00 Llama Recipes repo and demos
06:03 Links and resources


# Additional Resources
• Run Llama 3 everywhere: llama.meta.com/docs/llama-everywhere
• Getting Started Guide: go.fb.me/90gu7x
• Fine-tuning, inference and API provider recipes: go.fb.me/i05hes
• Getting to know Llama - Notebook: github.com/meta-llama/llama-cookbook/blob/main/getting-started/build_with_llama_4.ipynb
• Llama recipes repo with use cases: go.fb.me/i05hes
• Prompt Engineering with Llama 2 & Llama 3 on Deeplearning.ai: go.fb.me/uu10tv
• Model Card: go.fb.me/y8cvs5

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