The GPU Optimizer for ML Models enhances GPU performance for machine learning. It offers advanced scheduling, real-time monitoring, and efficient resource management through a user-friendly web interface and robust API, integrating big data technologies for seamless data processing and model optimization. @NVIDIA

Design of a GPU Dynamic LLM Inference Task Scheduling Architecture Based on KubeAI

HPC research toolkit infrastructure for interfacing & analyzing LLMs (Kit is composed of: API gateway service, GPU scheduler, model servicer, and web interface)