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>Memory size remains the biggest bottleneck For what? AI shit? These are for games broski
by rejectfinite 4y ago
>Memory size remains the biggest bottleneck
For what? AI shit? These are for games broski
- lake_vincent 4y agoWell, yeah, broski. GPUs are just highly optimized matrix multipliers, so they're for any computation involving matrix multiplication...such computations arise in computer graphics, crypto mining, and machine learning (aka AI shit). And yes, memory size is important for some applications. Is that okay?
- rrss 4y agothis simplification to “everything needs matrix multiply and GPUs are matrix multipliers” doesn’t really match the actual architecture. the hardware for low-precision matrix multiplications in ML is mostly independent of the hardware that’s typically utilized for vertex and fragment shaders in computer graphics. It really only gets used for graphics if using DLSS. It’s not used at all for (integer) computations in cryptomining. Are they for high-precision scientific simulations because it’s possible to multiply matrices on them? These cards are probably quite shit at double-precision matrix multiplications.
- thomastjeffery 4y agoAnd these ones aren't optimized for machine learning, and that's OK, too.
- rejectfinite 4y ago>And yes, memory size is important for some applications. Is that okay? Yes and they make Quadros for those :)
- Filligree 4y agoA 24GB card is not for gaming. It can do games, which is convenient, but no game currently made needs that much.
- rejectfinite 4y agoYou dont buy a high end GPU for TODAYs games, you keep it for a while. Also texture sizes are big now.
- DynamicStatic 4y agoDeveloping games however...