9/28/2023 0 Comments How to turn off 360 total security![]() ![]() New storage solutions, like Dell PowerScale, cater to AI’s specific requirements and vast, diverse data sets by employing cutting-edge technologies like distributed storage, data compression and efficient data indexing. Traditional storage systems struggle to keep up with the massive influx of data, leading to bottlenecks in training and inference processes. As generative AI models continue to advance and tackle more complex tasks, the demand for data storage and processing power increases significantly. It’s all about the data-the data to fuel generative AI and the new data created by generative AI. Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” Novel approaches to storage are needed because generative AI’s requirements are vastly different. Unstructured data needs for generative AI By doing so, organizations won’t “run out of fuel” or slow down processes due to inadequate or improperly designed storage – especially during that final mile in other words, after all the effort and investment has been made. Before generative AI can be deployed, organizations must rethink, rearchitect and optimize their storage to effectively manage generative AI’s hefty data management requirements. In turn, these models will also generate reams of data that elevate organizational insights and productivity.Īll this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. ![]() Organizations need massive amounts of data to build and train generative AI models. In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. But it also creates one key dependency that will make or break generative AI: the fuel and the right amount of it. Like F1, all this investment and effort holds great promise. To put that in perspective, the UK’s annual gross domestic product (GDP) is $3.1 trillion. Generative AI’s economic impact, per McKinsey, will add $2.6-4.4 trillion per year to the global economy. Generative AI “fuel” and the right “fuel tank”Įnterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). The World Economic Forum estimates 75% of companies will adopt AI by 2027. What does this have to do with technology? It’s an appropriate takeaway for another prominent and high-stakes topic, generative AI. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |