A Look at AIBrix, an Open Source LLM Inference Platform

Serving large language models (LLMs) at scale presents many challenges beyond those faced by traditional web services or smaller ML models. Cost is a primary concern for LLM inference, which requires powerful GPUs or specialized hardware, enormous memory and significant energy. Without careful optimization, operational expenses can skyrocket for high-volume LLM services.

For instance, a 70 billion parameter model like Llama 70B demands roughly 140GB of GPU memory to load in half-precision, even before accounting for additional memory overhead…