I don't feel like that is a fair title. It's not really the PI, its a nvidia card attached to a PI. Also, what kind of fucking pi is that? It kind of looks like some sort of compute module on a larger board or maybe a huge "hat" for a typical RPi5?
Archive: https://archive.today/FY3tp
From the post:
>Now that Nvidia GPUs run on the Raspberry Pi, I've been putting all the ones I own through their paces.
Many people have an older Nvidia card (like a 3060) laying around from an upgrade. So could a Pi be suitable for GPU-accelerated video transcoding, either standalone for conversion, or running something like Jellyfin for video library management and streaming?
That's what I set out to do, and the first step, besides getting the drivers and CUDA going (see blog post linked above), was to find a way to get a repeatable benchmark going.
I don't feel like that is a fair title. It's not really the PI, its a nvidia card attached to a PI. Also, what kind of fucking pi is that? It kind of looks like some sort of compute module on a larger board or maybe a huge "hat" for a typical RPi5?
Archive: https://archive.today/FY3tp
From the post:
>>Now that Nvidia GPUs run on the Raspberry Pi, I've been putting all the ones I own through their paces.
Many people have an older Nvidia card (like a 3060) laying around from an upgrade. So could a Pi be suitable for GPU-accelerated video transcoding, either standalone for conversion, or running something like Jellyfin for video library management and streaming?
That's what I set out to do, and the first step, besides getting the drivers and CUDA going (see blog post linked above), was to find a way to get a repeatable benchmark going.
(post is archived)