Efficient Serving of LLMs for Experimentation and Production with Fireworks.ai

Explore the challenges and solutions for deploying Large Language Models (LLMs) in production environments through this informative 12-minute talk by Dmytro Dzhulgakov, co-founder and CTO of Fireworks.ai. Learn how the Fireworks.ai GenAI Platform assists developers in navigating the complex journey from early experimentation to high-load production deployments while managing costs and latency. Gain insights into handling multiple model variants, scaling up usage, and optimizing cost-to-serve and latency concerns. Discover how Fireworks.ai's high-performance, low-cost LLM inference service can help you experiment with and productionize large models effectively. Benefit from Dzhulgakov's expertise as a PyTorch core maintainer and his experience in transitioning PyTorch from a research framework to numerous production applications across Meta's AI use cases and the broader industry.

Efficient Serving of LLMs for Experimentation and Production with Fireworks.ai // Dmytro Dzhulgakov