Supermicro and ProphetStor Maximize GPU Efficiency for Multi-tenant AI Workloads

In the resource-hungry world of AI and machine learning, efficient management of GPU resources in multi-tenant environments is paramount, particularly for Large Language Model (LLM) training and inference workloads.

This whitepaper describes how ProphetStor's Federator.ai GPU Booster increased GPU utilization by 2.5 times and doubled workload performance on a Supermicro 8U server with 8 NVIDIA H100 GPUs running a concurrent mix of 20 AI/ML jobs that included large and small model training and inferencing.