High-Performance AI Agent Inference Optimizations + vLLM vs. SGLang vs. TensorRT

Zoom link: https://us02web.zoom.us/j/82308186562

Talk #0: Introductions and Meetup Updates
by Chris Fregly and Antje Barth

Talk #1: LLM Engineers Almanac + GPU Glossary + Inference Benchmarks for vLLM, SGLang, and TensorRT + Inference Optimizations by Charles Frye @ Modal
Just as applications rely on SQL engines to store and query structured data, modern LLM deployments need “LLM engines” to manage weight caches, batch scheduling, and hardware-accelerated matrix operations. A recent survey of 25 open-source and commercial inference engines highlights rapid gains in usability and performance, demonstrating that the software stack now meets the baseline quality for cost-effective, self-hosted LLM inference arxiv.org. Tools like Modal’s LLM Engine Advisor further streamline adoption by benchmarking throughput and latency across configurations, offering engineers ready-to-use code snippets for deployment on serverless cloud infrastructure.

https://modal.com/llm-almanac/advisor

Talk #2: High-Performance Agentic AI Inference Systems by Chris Fregly
High-performance LLM inference is critical for mass adoption of AI agents. In this talk, I will demonstrate how to capture the full capabilities of today’s GPU hardware using highly-tuned inference compute like vLLM and NVIDIA Dynamo for ultra-scale autonomous AI agents. Drawing on recent breakthroughs, I'll show how co-designing software with cutting-edge hardware can address the scaling challenges of the ultra-scale inference environments required by AI agents. This talk is from Chris' upcoming book called AI Systems Performance Engineering: Optimizing GPUs, CUDA, and PyTorch.

https://www.amazon.com/Systems-Performance-Engineering-Optimizing-Algorithms/dp/B0F47689K8/

Zoom link: https://us02web.zoom.us/j/82308186562

Related Links
Github Repo: http://github.com/cfregly/ai-performance-engineering/

O'Reilly Book: https://www.amazon.com/Systems-Performance-Engineering-Optimizing-Algorithms/dp/B0F47689K8/

YouTube: https://www.youtube.com/@AIPerformanceEngineering

Generative AI Free Course on DeepLearning.ai: https://bit.ly/gllm