The article discusses the author's experience of deploying the DeepSeek-OCR model on an NVIDIA Spark using Claude Code, emphasizing the challenges faced with compatibility and dependencies in running a PyTorch CUDA model. The author details the process of setting up the environment, troubleshooting issues, and successfully executing OCR on an image after overcoming obstacles related to GPU capabilities and software versions.

Alibaba Cloud has developed a new pooling system called Aegaeon that significantly reduces the number of Nvidia GPUs needed for serving large language models, achieving an 82% reduction during beta testing. This innovative system allows for better GPU utilization by virtualizing access at the token level, enabling multiple models to be served simultaneously and increasing output efficiency. The findings suggest potential advancements for cloud providers in managing GPU resources, particularly in constrained markets like China.