NVIDIA has released the NeMo series of microservices, aiming to simplify the development process of customized large models and generative AI products. NeMo includes three core microservices: NeMoCurator, NeMoCustomizer, and NeMoEvaluator, which are responsible for data collection, model customization, and model evaluation respectively, covering all key aspects of AI model development. Through GPU-accelerated data processing and fine-tuning, NeMo helps developers and enterprises build customized AI solutions more efficiently, shorten product time to market, and improve competitiveness. This move will greatly lower the development threshold and promote the popularization and application of generative AI technology.
NVIDIA launched the NeMo series of microservices, including NeMoCurator, NeMoCustomizer and NeMoEvaluator, aiming to help developers and enterprises better develop customized large models and generative AI products. The NeMo platform simplifies the process for users to build custom generative AI models, covering the development stages of data collection, customization, and evaluation. NeMo provides data sorting and fine-tuning microservices that support GPU acceleration to help enterprises build faster and smarter customized generative AI solutions and accelerate their introduction to the market.
The launch of the NeMo series of microservices marks another important breakthrough for NVIDIA in the field of AI development tools, providing enterprises and developers with a more convenient and efficient AI model construction solution. It is believed that NeMo will further promote the widespread application of generative AI technology in the future. and development.