Chrystal Doucette

Compare vLLM and TensorRT-LLM inference frameworks on throughput, cold start, and deployment complexity, then deploy either one on Runpod Serverless GPUs.

Learn how to calculate VRAM and KV cache requirements for LLM inference, compare RTX 4090, A100, and H100 GPUs, and deploy a sized endpoint on Runpod.

What self-hosting a private AI agent looks like in practice, where Runpod fits in, and how to avoid the failure modes that trip up most private agent.

Multi-agent AI systems explained: how they work, when to use them, which frameworks to build with, and how to deploy them on GPU infrastructure that scales.

LangGraph, AutoGen, CrewAI, and the GPU infrastructure underneath them. A practical guide to multi-agent orchestration patterns and how to deploy each one.