If the main dataset resides solely in the cloud, it too will quickly become cost-prohibitive given the costs of moving models to and from the data itself. If the AI compute infrastructure is not located near a business’s data sets, the training process becomes even more difficult and time-consuming. The process of training AI models can be repetitive and cumbersome. Technologies like artificial intelligence (AI) are exacerbating the negative impact that data gravity can have on a business’s IT infrastructure. A modernized infrastructure lessens data gravity barriers by bringing the applications, compute, users and things to the data.Ĭreating AI Centers of Excellence with NVIDIA DGX Systems to Accelerate Global Innovation This allows traffic to be aggregated and maintained via public or private clouds, at the core or the edge, and from every point of business presence. Taking advantage of data gravity requires a network footprint that creates centers of data exchange. To do this, businesses need a modernized infrastructure that can support the influx of data from several users, locations, clouds, and networks. Businesses need to leverage the effects of data gravity instead of resisting them. It adds complications to business processes and prevents companies from having the flexibility and agility needed to transform digitally. As data accumulates and more services and applications start to use it, the data begins to have a compounding effect on businesses, causing complexity and preventing digital transformation from occurring.ĭata gravity is the single biggest challenge facing companies today.
The accumulation of data tends to also attract additional services and applications, creating data gravity, which describes an effect similar to what occurs with the gravity between objects like the earth and the moon. As the data accrues and processing increases, it creates significant challenges for today’s IT infrastructure. This drive towards a digital economy has already started to reshape how enterprises are creating and delivering value for their customers. In fact, it’s estimated that 463 exabytes of data will be created each day globally by 2025. Driven by automation, mobile, and the internet of things (IoT), data is growing exponentially. We’re creating a massive amount of data that must be processed, analyzed, and applied to keep our applications and businesses running smoothly. Our society is becoming data-intensive in almost everything we do – shopping online, interacting with customer service agents, or joining remote meetings via videoconferencing platforms.
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