> The goal was to design a chip that could be used in large data centers that handle social networking requests, search and cloud services. The response time in

> The goal was to design a chip that could be used in large data centers that handle social networking requests, search and cloud services. The response time in social networking and search is tied to the horsepower of servers in data centers. So, if I understand this correctly, they are targeting embarrasingly parallell tasks, although tied to a central database. Why should this super-NUMA architecture be good for that? If it were, why are Facebook and Google running on distributed Intel Xeon clusters, and not one of Fujitsu or Oracles big-SPARC-machine offerings?