A few months ago we noted in our blog that “the cost of the AI revolution is sinking in.” Now we are seeing increased public scrutiny of plans to build the data centers AI workloads demand, their use, and their impact on numerous public concerns. From dismay that a data center tenant will not pay property taxes, to the proposed development of rural lands and taxpayers opposing data center projects, as well as challenges surrounding water consumption, challenges abound. 

The issues and obstacles involved are significant, and in many cases promise to result in delays. It also goes without saying that this is a problem given the enormous potential of AI, and the demand for it. 

At Atombeam, we think these developments put our core belief that we have a reached a point in time where the traditional approaches to more data – namely the creation of faster chips, more powerful processors, bigger pipes, more extensive wireless networks, and yes – larger and more powerful data centers – are no longer sufficient.

The time has come when we must, as we have done with our Data-as-Codewords technology and Neurpac and Neurcom solutions, take a new approach to data. Will Neurpac’s ability to decrease the size of workloads by 75% or to increase available bandwidth by 4x – and in many use cases far more – solve the networking challenges we face in light of AI and the IoT?

Realistically, there is no single answer to the challenges we now face. But imagine how dramatically Atombeam’s solutions will impact the performance of existing and future data centers, and the wired infrastructure and wireless networks – among them cellular and satellite systems – that are required to put AI workloads to use. Clearly, Atombeam can play an important and pivotal role addressing the challenges.