Cloudflare discusses its innovative methods for optimizing AI model performance by utilizing fewer GPUs, which enhances efficiency and reduces costs. The company leverages unique techniques and infrastructure to manage and scale AI workloads effectively, paving the way for more accessible AI applications.

TRL has introduced co-located vLLM to improve the efficiency of training large language models by allowing both training and inference to run on the same GPUs, eliminating idle time and reducing hardware costs. This integration enhances throughput, simplifies deployment, and makes the system more robust for online learning setups like GRPO. The new approach is supported by a series of performance experiments demonstrating significant speedups compared to traditional server setups.