L4sBotMB to [email protected]English • 1 year ago2023 was the year that GPUs stood stillarstechnica.comexternal-linkmessage-square88fedilinkarrow-up1312arrow-down18file-text
arrow-up1304arrow-down1external-link2023 was the year that GPUs stood stillarstechnica.comL4sBotMB to [email protected]English • 1 year agomessage-square88fedilinkfile-text
2023 was the year that GPUs stood still::A new GPU generation did very little to change the speed you get for your money.
minus-square@[email protected]linkfedilinkEnglish10•1 year agoI’ve been very happy with my Arc A770, it works great on Linux and performs well for what I paid for it.
minus-square@[email protected]linkfedilinkEnglish1•1 year agoHave you tried ML workloads, differently put: How is compatibility with stuff that expects CUDA/ROCm? Because the A770 is certainly the absolutely cheapest way to get 16G nowadays.
minus-square@[email protected]linkfedilinkEnglish1•1 year agoNo, I don’t use any ML stuff or really anything that uses GPU compute at all. I just use it for gaming and other 3D applications.
I’ve been very happy with my Arc A770, it works great on Linux and performs well for what I paid for it.
Have you tried ML workloads, differently put: How is compatibility with stuff that expects CUDA/ROCm? Because the A770 is certainly the absolutely cheapest way to get 16G nowadays.
No, I don’t use any ML stuff or really anything that uses GPU compute at all. I just use it for gaming and other 3D applications.