With Huge Costs, Efficiency Is The Key To Mainstreaming Generative Ai

Generative AI is creating a lot of excitement in many industries, as it promises more automation and cost savings. However, training these large language models requires supercomputer-class systems, massive amounts of data, and securing proprietary information. Granica, a startup, is looking at how to manage the data part and extract critical information from it for analytics, machine learning, and AI. On-premises storage systems are not able to scale to the level needed for AI and machine learning, so cloud object stores are the go-to data stores. Other problems such as data security, privacy, and compliance also need to be addressed.