World's Fair 2024
[Full Workshop] Llama 3 at 1,000 tok/s on the SambaNova AI Platform
Overview
This workshop demonstrates SambaNova's AI platform, highlighting its capability to achieve over 1,000 tokens per second inference speed with Llama 3. The platform offers a full-stack solution from chip design to software, aiming to simplify the process of fine-tuning, pre-training, and deploying AI models. It addresses enterprise needs for scalability, security, and cost-efficiency by integrating various expert models behind a single endpoint and providing orchestration and access control.
Who should watch
- AI Engineers
- Product Managers
- Builders working with large language models
- Those seeking high-performance AI inference solutions
- Teams looking to deploy custom AI models efficiently
Key takeaways
- SambaNova's platform achieves over 1,000 tokens per second inference speed with Llama 3, significantly outperforming other providers in benchmarks.
- The platform integrates multiple expert models behind a single endpoint, simplifying access and management for diverse enterprise use cases.
- SambaNova utilizes a custom-built RDU (Reconfigurable Dataflow Unit) chip with a three-tiered memory architecture to enable efficient model swapping and high performance.
- The platform supports dynamic fine-tuning and model-level role-based access control for enhanced security and management.
- A hands-on workshop component guides participants through setting up API keys, initializing LLMs, and building a Q&A system with RAG using LangChain and Chroma DB.
- The workshop demonstrates building a Q&A system using Retrieval-Augmented Generation (RAG) with Llama 3, showcasing document loading, splitting, vectorization, and retrieval.
- Participants can follow along with provided code repositories and Discord channels for support and access to necessary keys.
Notable quotes
*SambaNova, we are a full-stack AI platform and we've existed since 2017.*
*Our underlying platform is delivering the means to actually achieve the scale of a trillion parameters plus.*
*We are far exceeding as a platform the throughput capabilities compared to some of the other providers out there.*
Unofficial community note. Prefer the recording for nuance.