Nvidia and DataStax have introduced a new AI technology that reduces data storage requirements by 35 times for generative AI systems. As reported by Michael Nuñez for VentureBeat, the Nvidia NeMo Retriever microservices, integrated with DataStax’s AI platform, enables faster and more accurate information retrieval across multiple languages. The technology has already shown impressive results at Wikimedia Foundation, reducing processing time for 10 million Wikipedia entries from 30 days to three days. According to Nvidia’s VP Kari Briski, enterprise unstructured data currently stands at 11 zettabytes, with 83% being unstructured. The system addresses security concerns by allowing companies to utilize their private data without exposing sensitive information to external language models. The solution is now available through Nvidia’s API catalog with a 90-day free trial license.