How to Benchmark Classical Machine Learning Workloads on Google Cloud

Recent developments demonstrate that CPUs can be effectively utilized for practical and cost-efficient machine learning workloads, challenging the traditional reliance on GPUs and specialized hardware. Benchmarking on Google Cloud indicates that well-optimized CPU-based systems can handle classical machine learning tasks with competitive performance and significantly lower costs, making scalable AI deployment more accessible for a broader range of applications.