Home > AI Solutions > Gen AI > White Papers > Dell Scalable Architecture for Retrieval-Augmented Generation (RAG) with NVIDIA Microservices > Business Challenges and Use Cases
Situation: Achieving superior AI capabilities quickly and efficiently is crucial for businesses to stay competitive, as this enables faster and more informed decision-making, streamlines operations, and accelerates development cycles in response to market demands. However, traditional AI development, such as fine-tuning or training and the associated deployment processes, are time-consuming and resource-intensive.
Solution: Using proprietary company data, NVIDIA RAG enables rapid deployment by integrating off-the-shelf large language models, such as Llama 2 13b. This approach shortens the development cycle and yields better-performing chatbots and AI applications in less time than models fine-tuned on the same datasets. Dell Technologies' scalable hardware solutions ensure that these advanced models are supported by robust computing and storage capabilities, facilitating quick and effective AI rollouts.