According to Morgan Stanley. Analyst Joseph Moore reiterated Nvidia as a higher choice and repeated a note of overlying on action in a note Thursday to customers. Its price as a course of $ 152 on the dominant manufacturer of artificial intelligence chips indicates around 22% potential in advance for the action, on the fence on Wednesday. “While feeling has worsened around potential risks in the longer term, short -term activities continue to close, Blackwell Supply Visibility continues to create (and) the desire to spend customers is clearly exposed,” wrote Moore . “We remain very optimistic about how the balance of the year takes place.” Nvidia’s actions have climbed almost 85% in the past year, but took a hit after the emergence of the Chinese IA startup Deepseek, which used Nvidia chips less effective to create a model of The riva that rivaled with the Openai Chatppt, but to a fraction of American technology of American Tech cost The hyperscalers engage in the AI breed. Deepseek bought 10,000 NVIDIA A100 chips, published for the first time in 2020, and two generations before the current Blackwell chip from Nvidia, before the A100s were limited for sale in China at the end of 2023, according to Stanford University Cyber Policy Center. The technological sale on January 27 led Nvidia to dive 17%, losing a record amount of market value in one day of any business in history. Nvidia, which will display profits on February 26, is now down by more than 6% this year. NVDA 1Y Mountain Nvidia Stock Performance during the past year. According to Moore, Deepseek creates opposite winds around export controls and longer -term AI investments, but short -term catalysts in the form of Blackwell and Hopper Chip for Nvidia solutions remain intact. The demand remains strong for Blackwell and the “very promising” signals for future demand came to Coreweave Tuesday’s announcement that he brought NVIDIA GB 200 NVL72 bodies to his platform, which First Cloud Service Provider to make Blackwell generally available, said Moore. The analyst is also held by NVIDIA, because comments on capital expenses of the largest customers of the company have reaffirmed their investment plans in AI. NVIDIA Cloud customers, for example, remain determined to buy more graphic processing units in order to stimulate income, he said. “For investments that do not generate income today, there remains a continuous commitment to advance the state of the art,” said Moore. “Many architects of the largest artificial general intelligence groups) have reiterated a commitment to expand large clusters of training without indication that Deepseek changes this momentum,” added the analyst. For the future, Moore estimates that the largest long-term catalyst in Nvidia goes beyond the training of AI and draws from business leadership on the inference market, in particular as tasks inference becomes more complex. Inference refers to a process where an AI model formed applies its knowledge to new data and can make predictions or decisions according to this data. “We are convinced that Nvidia is the largest beneficiary of long-term workloads,” he said.