Build enterprise generative AI apps using Llama 3 at 1,000 tokens/s on the SambaNova AI platform
summary
Claims a live Llama-3 deployment running Llama-3-8B-Instruct at 1,000 tokens/s on SambaNova hardware (SN40L RDU) and a trillion-parameter CoE (Samba-1); shows a working end-to-end RAG Q&A built with LangChain + ChromaDB + E5-large-v2 embeddings, notebook and Streamlit UI, and a GitHub repo plus SambaNova API keys. Demonstrates 0.09s time-to-first-token and ~65s end-to-end on a 15‑page PDF split into 89 chunks, embeddings run on RDU or CPU, and the real‑time UI returns grounded answers.
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chapters (10)
- 0:00SambaNova AI platform intro
- 4:15SambaNova capabilities overview
- 8:33Enterprise AI challenges
- 12:07SambaNova One platform
- 18:49RDU chip and memory
- 21:41Demo: Llama 3 on SambaNova
- 26:32Workshop setup
- 27:39Simple Llama 3 inference
- 37:25RAG-based Q&A example
- 54:04Q&A
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