The hardware behind it
As such, there’s a rapidly growing demand for chips that can enable high performance processing without a debilitating price tag. Any manufacturer looking to produce a processor that meets the needs of these businesses has a precarious balancing act to perform:
Cost: The processors that meet this need to be cheaper than the premium alternatives that many would assume were the only solution to the need for compute power. There’s a wealth of trip hazards to negotiate here, from the expenses of third-party hardware/software to the category of the processor and the components it requires to function.
Performance: Cheap cannot mean compromising on performance, or the entire operation becomes pointless. The minds behind the product need to be able to compensate for cost-cutting measures with sophisticated algorithms and architectures to ensure that the quality bar is met.
Versatility: Perfecting the split between price and performance is all well and good, but if the result is a chip purpose-built for one use – say, driving voice recognition – then the majority of the AIoT industry hasn’t been served a solution at all. You see, the big secret is that AIoT is not really a market at all, it is the sum of 100 markets, and 10,000 market segments – each with different needs. The endpoint solution must flexibly and affordably deliver the combination of compute classes (AI, DSP, control and IO) required by each of these segments.