The PhysX debate was also before my time. But I read into it, and it seems like they solved it partly software based. But with AI we are talking about hardware limitations, especially memory.
Currently, AI operations mean a lot of time-consuming copy tasks between CPU and GPU.
I’d guess that an AI card should have a great value proposition to be worth buying.
Sure the card should have great value or must have an accessible price. It probably also depends on how “heavy” the tasks get. But seeing e.g. OpenAI struggling with requests, it may be useful to decentralize the processing (with running the model locally on the user’s pc).
I’m not sure where you’re going with this, but it feels wrong. I’m not buying a hardware part that cannot function without a constant internet connection or regular payment.
Maybe this statement was a bit confusing. What I meant was, that in a transition phase developers could choose to allow the usage of a dedicated accelerator card to run everything locally and offline. And for people who don’t have or want such a card they could provide a cloud based subscription model, where the processing is done on remote servers.
Ist mir auch schon öfter passiert. Aber besser für mich.
Interessant. Wohne eher ländlich und habe in 5km Umkreis 3 Packstationen und zwei DHL Packetshops.
Vor allem, wenn man eine Paketumleitung einrichtet, wird es automatisch an die Packstation geschickt, wenn es an einen adressiert ist. Finde ich mega praktisch. Und wenn man doch mal was nach Hause haben will, kann man die Umleitung für eine Bestellung in der DHL App einfach stornieren.
Demokratische Volksrepublik Aldi und Republik Aldi
Mahlst du ein halbes Kilo? Für eine Tasse nehme ich 14g und mahle vielleicht 30s-1min.
Two very interesting articles. Thank you for that!
Especially the analog processor is a game changer with having the computation directly in memory. Generally, analog computers are a very interesting subject!