… Related We have reached the GPU ceiling, and AI tricks like DLSS are how companies pretend we haven't Silicon alone can only do so much without software bearing the load Neural Texture Compression drastically reduces VRAM usage in games It replaces traditional compression technology through AI Nvid… …
… Intel jumped into the GPU market later, and they joined the software war with XeSS, continuing the push into AI acceleration as well. …
… That's an extra link in the chain that developers have to account for. …
… Sure, it took a while to remove artifacting from DLSS 3, but it was still a full pipeline rethink, pairing AI with optical flow in a way that actually held up mid-motion. …
… While RTX GPUs will obviously benefit the most due to dedicated AI acceleration, the underlying technique can run on other architectures too, including AMD and Intel GPUs. That said, performance and efficiency will scale with hardware capability, of course. …
… My local LLM pipeline essentially runs for free even after you factor in the energy bills Besides preventing large companies from gaining access to my prompts and personal documents, the real benefit of this setup is that I don’t need to pay for cloud platforms anymore. …
… You'd be getting performance that remains remarkably close in rasterized gaming, especially at 4K, while now also gaining access to the same FSR 4.1 upscaling pipeline that AMD had previously gatekept behind RDNA 4 cards . …
… AMD ships it as a Ryzen AI Developer Center, with AI playbooks on the machine and available for download, validated model packages so things run on first launch, and a commitment to re-qualify the whole stack every month so it keeps working as the underlying pieces shift. …