Why the centralization of processing is reaching its limit, and what comes next.
The past decade has seen massive growth in centralized computing, with data processing flowing to the cloud to take advantage of low-cost dedicated data centers. It was a trend that seemed at odds with the general trend in computing — a trend that started with the mainframe but moved progressively towards ambient intelligence and the internet of things (IoT). As we move into 2018, this centralization is reaching its limit. The volume of data that will be needed to drive the next wave of applications is beginning to force a change in direction.
Currently, just 10% of enterprise-generated data is created and processed outside centralized data centers. Industry analyst Gartner predicts this figure will reach 50% by 2022. This necessary reversal is driven by the shift towards hyper-connected cyber-physical systems, enabled by the arrival of technologies such as 5G wireless communications and a new wave of application-focused computing hardware.
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Using the Von Neumann architecture for artificial intelligence applications is inefficient. What will replace it?
At least 5 technologies are in the running, with 3D XPoint leading the pack.
Slowdown due to impact on timing, and dependencies between power, thermal and timing that may not be caught by signoff tools.
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