The Street is awash with AI buzz right now and anything AI-related is getting its 15 minutes of fame. The thing is, for those that have been following developments in the space, AI has not suddenly popped out of nowhere. In fact, as deep learning activity was expanding past vision applications into large language transformers, Morgan Stanley analyst Joseph Moore has been touting Nvidia’s ( NASDAQ:NVDA ) AI credentials since 2018. “At that time,” says the 5-star analyst, “we wrote that expectations for GPU technology to become a key enabler of machine learning training, and then inference workloads as well, was the reason to stay enthused about the stock despite remaining expensive on near-term numbers and cyclicality in the consumer-facing gaming business.” That said, Moore thinks that with AI now at the fore, and even though the long-term opportunity is “significant,” in Nvidia’s case, the estimates being thrown around the opportunity – particularly the revenue from ChatGPT inference – are too high. Moore reckons GPT 5 is presently being trained on 25,000 GPUs – amounting to roughly $225 million of NVIDIA hardware – and the inference costs are probably “much lower” than some of the numbers being touted. Moreover, […]