Discord's ML Scaling Breakthrough
Key Highlights Discord’s machine learning systems evolved from simple classifiers to complex models serving hundreds of millions of users The company overcame scaling challenges by adopting distributed computing with Ray, an open-source framework Discord built a custom platform around Ray, resulting in a +200% improvement on business metrics with models like Ads Ranking The rapid growth of Discord’s user base led to an increased demand for more sophisticated machine learning models. As the company’s models became more complex, they encountered significant scaling challenges, including the need for multiple GPUs, larger datasets, and increased computational power. This move reflects broader industry trends, where companies are struggling to scale their machine learning capabilities to meet growing user demands. ...