#股票交易分享挑战 NVIDIA develops Nemotron 4, an open-source AI model with trillion-scale parameters
NVIDIA is reportedly developing the next-generation open-source AI model Nemotron 4, aiming to create a product comparable to the world's top open-source models. The model has more than 1 trillion parameters. Its official release date has not yet been determined, and development could be completed and ready for release as early as late autumn this year.
NVIDIA hopes to expand the scope of AI applications through an open model ecosystem and further drive market demand for its GPU computing power. NVIDIA previously launched the Nemotron series of open-source models, including the Nemotron-4 340B series with 340 billion parameters, mainly for large language model training data generation, model development, and enterprise AI applications.
Meanwhile, NVIDIA CEO Jensen Huang responded to external doubts over the company's collaboration with financial institutions to mobilize more than $500 billion in third-party capital to establish an independent financing platform and build AI infrastructure, stating clearly that AI factory computing power has become an investable infrastructure asset. The relevant demand comes from real-world business scenarios, and independent institutions will conduct independent due diligence on the projects, making this by no means the "circular financing" questioned by the outside world.$NVDA
NVIDIA is reportedly developing the next-generation open-source AI model Nemotron 4, aiming to create a product comparable to the world's top open-source models. The model has more than 1 trillion parameters. Its official release date has not yet been determined, and development could be completed and ready for release as early as late autumn this year.
NVIDIA hopes to expand the scope of AI applications through an open model ecosystem and further drive market demand for its GPU computing power. NVIDIA previously launched the Nemotron series of open-source models, including the Nemotron-4 340B series with 340 billion parameters, mainly for large language model training data generation, model development, and enterprise AI applications.
Meanwhile, NVIDIA CEO Jensen Huang responded to external doubts over the company's collaboration with financial institutions to mobilize more than $500 billion in third-party capital to establish an independent financing platform and build AI infrastructure, stating clearly that AI factory computing power has become an investable infrastructure asset. The relevant demand comes from real-world business scenarios, and independent institutions will conduct independent due diligence on the projects, making this by no means the "circular financing" questioned by the outside world.$NVDA
