The traditional approach to distributed computing—built around frameworks like MapReduce and microservices—is ill-suited for the demands of modern AI, especially large language models (LLMs). The remarkable cost efficiency achieved by DeepSeek in training its LLMs (at a fraction of the cost of industry giants like OpenAI) underscores a fundamental mismatch between legacy infrastructure and the […]