L4sBotMB to [email protected]English • 11 months ago2023 was the year that GPUs stood stillarstechnica.comexternal-linkmessage-square97fedilinkarrow-up1313arrow-down18file-text
arrow-up1305arrow-down1external-link2023 was the year that GPUs stood stillarstechnica.comL4sBotMB to [email protected]English • 11 months agomessage-square97fedilinkfile-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]linkfedilinkEnglish1•11 months 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•11 months 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.
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.