They released a few good value GPUs for LLM inference about a year ago: more memory than AMD and NVIDIA consumer GPUs, not too expensive, but also not great tokens/watt.
I am not sure whether you can find those in stock anywhere.
I'm using an Intel Arc Pro B70 which has 32 GB of VRAM. It's estimated to get ~35-45 t/s at $21-27 $/t/s. An RTX 5090 is ~61 t/s at ~$33 $/t/s.
So in terms of raw power Nvidia is effortlessly still king, but in price-to-capacity Intel is best in class.
Intel's Battlemage GPUs also natively support SR-IOV and GPU partitioning which allows you to isolate workloads. This is useful in homelab environments if you have workloads that benefit from GPU acceleration. I was able to split the B70 into 4 virtual GPUs and hand them out to Frigate NVR, Plex, and other workloads.
They released a few good value GPUs for LLM inference about a year ago: more memory than AMD and NVIDIA consumer GPUs, not too expensive, but also not great tokens/watt.
I am not sure whether you can find those in stock anywhere.
I'm using an Intel Arc Pro B70 which has 32 GB of VRAM. It's estimated to get ~35-45 t/s at $21-27 $/t/s. An RTX 5090 is ~61 t/s at ~$33 $/t/s.
So in terms of raw power Nvidia is effortlessly still king, but in price-to-capacity Intel is best in class.
Intel's Battlemage GPUs also natively support SR-IOV and GPU partitioning which allows you to isolate workloads. This is useful in homelab environments if you have workloads that benefit from GPU acceleration. I was able to split the B70 into 4 virtual GPUs and hand them out to Frigate NVR, Plex, and other workloads.