👉 Chubby Computing is an innovative approach to artificial intelligence and machine learning that emphasizes the use of large, diverse datasets and computationally intensive models to achieve high performance, often at the expense of efficiency. This paradigm leverages the power of specialized hardware like GPUs and TPUs, along with distributed computing frameworks, to handle massive amounts of data and complex computations. Unlike traditional methods that prioritize model efficiency and inference speed, Chubby Computing focuses on maximizing accuracy and knowledge representation by training models on extensive datasets, even if it means higher resource consumption. This approach is particularly useful in scenarios where the cost of computational resources is outweighed by the benefits of achieving superior model performance and robustness.
