The Nvidia team/blog cannot be clearer about the challenges of AI & NLP: “Recent work has demonstrated that larger language models dramatically advance the state of the art in natural language processing (NLP) applications such as question-answering, dialog systems, summarization, and article completion. However, during training, large models do not fit in the available memory of a single accelerator, requiring model parallelism to split the parameters across multiple accelerators.” See details at "State-of-the-Art Language Modeling Using Megatron on the NVIDIA A100 GPU" https://devblogs.nvidia.com/language-modeling-using-megatron-a100-gpu
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