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That's great from the price perspective - I still would not want another active listening device tied to a mega corp within my vicinity. However, I would love

That's great from the price perspective - I still would not want another active listening device tied to a mega corp within my vicinity. However, I would love to have an Echo like device which does the voice recognition/algo crunching/etc on premise, i.e. on a server/device I control. Is there anything out which does this nicely?

kordless 11y ago
> I still would not want another active listening device tied to a mega corp within my vicinity. I wish more people were like you and voiced their concerns about this ongoing problem around centralization of services. However...see http://www.cultofmac.com/264381/hardware-siri-runs-puts-new-mac-pro-shame/ http://www.cultofmac.com/264381/hardware-siri-runs-puts-new-...: > Over on Reddit, a post suggests that there are 3 main ‘instances’ (or server farms) for Siri in the United States, and at least one for every other country. > This information allegedly comes — albeit second-hand — from Apple’s lead cloud architect, who says that every instance of Siri runs on 32 powerful HP servers with a total of 1024 cores and 32 terrabytes of RAM apiece. That certainly makes the new Mac Pro look long in the tooth. > Specifically, each instance of Siri is made up of 4 HP c7k enclosures made up of 8 HP server blades each, with memory upgrades to 1TB of RAM. > According to the post, if one server dies, it’s simply removed and another one slapped in, with no downtime. Granted, there are a lot of people yacking at Siri at a given time, but still. You probably need a fair amount of horsepower to pull this off.
- cthalupa 11y ago
  They talked a bit more about the Siri setup at a talk they gave for the Mesos guys (Siri runs on Mesos with a custom schedule Apple wrote - one of the biggest Mesos installs out there) https://mesosphere.com/blog/2015/04/23/apple-details-j-a-r-v-i-s-the-mesos-framework-that-runs-siri/ https://mesosphere.com/blog/2015/04/23/apple-details-j-a-r-v... They say the clusters have 1k worker nodes
- icebraining 11y ago
  Apple has also said that Siri gets 1 billion requests per week, so by those numbers each core can handle ~10k requests/week, using its share of 32GB of RAM. Doesn't seem that much.

kordless 11y ago

> I still would not want another active listening device tied to a mega corp within my vicinity. I wish more people were like you and voiced their concerns about this ongoing problem around centralization of services. However...see http://www.cultofmac.com/264381/hardware-siri-runs-puts-new-mac-pro-shame/ http://www.cultofmac.com/264381/hardware-siri-runs-puts-new-...: > Over on Reddit, a post suggests that there are 3 main ‘instances’ (or server farms) for Siri in the United States, and at least one for every other country. > This information allegedly comes — albeit second-hand — from Apple’s lead cloud architect, who says that every instance of Siri runs on 32 powerful HP servers with a total of 1024 cores and 32 terrabytes of RAM apiece. That certainly makes the new Mac Pro look long in the tooth. > Specifically, each instance of Siri is made up of 4 HP c7k enclosures made up of 8 HP server blades each, with memory upgrades to 1TB of RAM. > According to the post, if one server dies, it’s simply removed and another one slapped in, with no downtime. Granted, there are a lot of people yacking at Siri at a given time, but still. You probably need a fair amount of horsepower to pull this off.

cthalupa 11y ago
They talked a bit more about the Siri setup at a talk they gave for the Mesos guys (Siri runs on Mesos with a custom schedule Apple wrote - one of the biggest Mesos installs out there) https://mesosphere.com/blog/2015/04/23/apple-details-j-a-r-v-i-s-the-mesos-framework-that-runs-siri/ https://mesosphere.com/blog/2015/04/23/apple-details-j-a-r-v... They say the clusters have 1k worker nodes
icebraining 11y ago
Apple has also said that Siri gets 1 billion requests per week, so by those numbers each core can handle ~10k requests/week, using its share of 32GB of RAM. Doesn't seem that much.