What Is an Inference Engine, Anyway? — Charles Frye, Modal

Charles Frye explains the architecture, performance engineering, and operational challenges of LLM inference engines. He dissects workload types, core components like schedulers and kernel backends, and advanced techniques such as KV caching, CUDA graphs, and speculative decoding, concluding with essential strategies for observability and debugging in production environments.