Disclosure: I work on IBM cloud, but only tangentially with the Power systems.
Last I looked, Power cloud offerings required the customer to be a big company that buys a lot of compute.
As for the future, I can't say much publicly (le sigh) but let me just say that personally I think future of power is bright, especially with cloud providers.
e.g.: "Power 9 should do better than its predecessors given its costs, bandwidth, and ease of porting. Power 9 is IBM’s first to use standard DIMMs, opening a door to other standard components that are, overall, cutting system costs by 20% to 50% compared to the Power 8, said IBM’s partners."
The burden of proof is on those claiming the pricing does not present a barrier to entry to the ecosystem.
I am curious about developing for Power. Please link me to an entry-level system I can buy on the web.
Setting that aside though, its true that easy experimental access can allow a technology to "sneak in" to a market that previously ignored it, but that isn't really the case here. (nor was it the case for SPARC or Itanium) These systems are being built for folks who are going to deploy a lot of them and they already know their cost of ownership numbers for existing x64 boxes.
The next wave is probably running on commodity x86 hardware running Linux and using gamer-grade GPUs. They'll probably be first deployed to production on x86 virtual hardware in a cloud provider.
If you want companies to adopt your technology, make their developers adopt it first. That's how most of the current enterprise DevOps tools happened.
At least at Google the driving factor is total cost of ownership, full stop. When you need as much compute as they do to deliver on what they deliver, saving a few percent on the TCO flows right to the bottom line.
That said I don't see them going full on with this technology if its QP$S[1] isn't competitive with x64.
[1] Queries per dollar-second.
Where it can make a substantial dent in the x86 server is precisely this HPC niche. A 10% faster $300 box is worth $30 more, hardly enough to warrant extra work, but a 10% faster $10 million dollar machine is worth a million more.
Sun/SPARC for example, benefited greatly in Dot-Com v1.0 because so many universities had great prices via edu discounts. The sysadmins and other Unix users all cut their teeth on Sun boxes; so when they got jobs they took along their familiarity with Sun, which resulted in a lot of sales.
A. Many of the people who today specify datacenter hardware came into that career as enthusiasts (aka "early adopters") and are more comfortable recommending what they have experience with.
B. Enthusiasts bring the consumer volume that drives down production cost. This is a necessary driver of Moore's law.
If, however, IBM can get me a 32GB single-core/8-thread POWER9 machine for the same price Lenovo can give me a performance-equivalent 4-core/4-tread Xeon, I'll be tempted. Worst case scenario, I'll still run my x86 workloads on my trusty Lenovo and use the POWER9 as a nice X terminal.