👉 Sufficient computing refers to having enough computational resources, such as processing power, memory, and storage, to effectively handle the demands of a specific task or application without bottlenecks or performance degradation. This means that the computing system must be capable of processing data at a rate and scale that matches or exceeds the requirements of the task at hand, ensuring optimal performance and efficiency. For example, in machine learning, sufficient computing would involve having powerful GPUs or TPUs to train complex models quickly and accurately. In general, sufficient computing ensures that a system can reliably execute tasks without being constrained by resource limitations, allowing for faster processing times, better scalability, and the ability to handle larger datasets or more complex algorithms.