A research team is training a massive language model on a distributed computing cluster where the processing units have varying computational power. To avoid having faster units wait for slower ones, the team is considering an asynchronous training approach where updates are applied without waiting for all units to finish. Analyze the primary advantage and the most critical disadvantage of this strategy. In your analysis, explain how the disadvantage could potentially undermine the entire training effort.