Supported on CUDA 12 no less! To get an idea, the 1050ti is a card with an MSRP of $140 - almost seven years ago when it was released. Between the driver and C

Supported on CUDA 12 no less! To get an idea, the 1050ti is a card with an MSRP of $140 - almost seven years ago when it was released. Between the driver and CUDA support matrix it will likely end up with a 10 year support life. While it's not going to impress with an LLM or such it's the lowest minimum supported card for speech to text with Willow Inference Server (I'm the creator) and it still puts up impressive numbers. Same for the GTX 1060/1070, which you can get with up to 8GB VRAM today for ~$100 used. Again, not impressive for the hotter LLMs, etc but it will do ASR, TTS, video encoding/decoding, Frigate, Plex transcoding, and any number of other things with remarkable performance (considering cost). People also run LLMs on them and from a price/performance/power standpoint it's not even close compared to CPU. The 15 year investment and commitment to universal support for any Nvidia GPU across platforms (with very long support lifecycles) is extremely hard to compete with (as we see again and again with AMD attempts in the space).