“For any segment in the market there will be a few templates available,” Sherwani said. “We’ll have some tools and methodologies there, and among all the various templates are available show what would be the best for [that customer]. We also have an app store — we are expecting people who have designed cores who are willing two share it, because they don’t need it to be proprietary. If anyone uses that template, then whatever price they can put on it, they can make some money doing that. This whole idea of marketplaces will get more people excited.”As there is an intense rush to develop new customized silicon, it may be that services like the ones offered by SiFive become more and more necessary. But there’s another element to the bet behind SiFive: making the chip itself less ambiguous and trying to remove black boxes. That doesn’t necessarily make it wildly more secure than the one next to it, but at the very least, it means when there is a major security flaw like Intel’s Spectre problems, there may be a bit more tolerance from the developer community because there are fewer black boxes.“All these complications are there and unless you have all this expertise, you can’t do a chip,” Sherwani said. “Our vision is that we deliver the entire chip experience to that platform and people can be able to log in. They don’t need a team, any tools, they don’t need FPGAs because all those will be available on the web. As a result the cost goes down because it’s a shared economy, they’re sharing tools, and that is how we think dramatically you can do chips at much lower cost.”While there is a lot of venture money flowing into the AI chip space — with many different interpretations of what that hardware looks like — Sherwani said the benefit of working with SiFive is to be able to rapidly adapt an idea to a changing algorithm. Developers have already proven out a lot of different tools and frameworks, but once a piece of silicon is in production it’s not easy to change on the fly. Should those best practices or algorithms change, developers will have an opportunity to reassess and redesign the chip as quickly as possible.The idea of that custom silicon is going to be a big theme going forward as more and more use cases emerge that could be easier with a customized piece of hardware. Already there are startups like Mythic and SambaNova Systems, which have raised tens of millions of dollars and specialize in the rapid-fire calculations for typical AI processes. But this kind of technology is now showing up in devices ranging from an autonomous vehicle to a fridge, and each use case may carry different needs. Intel and other chip design firms probably can’t hit every niche, and the one-size-fits-all (or even something more modular like an FPGA from Intel) might not hit each sweet spot. That, in theory, is the hole that a company like SiFive could fill.