what GPU do i need for CodeProject.AI with my HP EliteDesk 800 G3 SFF?
- Thread starter tung256
- Start date
What cameras do you have?
Most of us find the camera AI to be more than adequate.
Many have found the Coral USB to be problematic.
Many have found the CPU version of CodeProject to be easier to use and less hassles.
How many cameras do you plan to use CodeProject on? If just a couple try the CPU version first.
The GPU is not necessary unless you plan to run it on lots of cameras and the CPU is spiking.
Many here don't have a GPU.
Most of us find the camera AI to be more than adequate.
Many have found the Coral USB to be problematic.
Many have found the CPU version of CodeProject to be easier to use and less hassles.
How many cameras do you plan to use CodeProject on? If just a couple try the CPU version first.
The GPU is not necessary unless you plan to run it on lots of cameras and the CPU is spiking.
Many here don't have a GPU.
For running CodeProject.ai, a dedicated GPU can significantly enhance performance, especially for AI tasks. The GIGABYTE GeForce RTX 3050 OC you mentioned should work well with your HP EliteDesk 800 G3, assuming your PSU supports it and you have sufficient space. Regarding using your Coral USB stick, you can run TensorFlow Lite models efficiently, leveraging your existing setup. If you're primarily focusing on lightweight models or inference tasks, your Coral device might suffice without a dedicated GPU. However, for more intensive training or larger models, upgrading with the RTX 3050 would be beneficial. 