Recently, sources have revealed that chip giant NVIDIA is working intensively on its new generation of open-source artificial intelligence models - Nemotron 4. According to the information, the model's parameter scale is expected to reach at least an impressive 1 trillion level. Its core goal is to directly compete with top global open-source large models, further expanding its influence in the open-source AI ecosystem, and continuously driving up the strong demand for high-performance GPU computing power.
Looking back, NVIDIA has previously launched several highly anticipated Nemotron series open-source models. A typical example is the Nemotron-4 340B series with 340 billion parameters. These technological achievements have been widely used in the generation of training data for large language models, core model development, and various enterprise-level AI applications.
In response to this development, Changjiang Securities analysis points out that as the cost of calling industry models is significantly reduced, the trial and error threshold for enterprises is significantly lowered. Developers can conduct larger-scale user testing and product iteration within a fixed budget, which will effectively accelerate the penetration of diverse application scenarios and drive the overall AI applications to a key turning point.
