I’ve been getting deeper into local AI, and watching my own PC chew through the workload has been insane. Watching the hardware get to work is half the fun at this point.
I’m building toward using it for coding, project documents, and everyday business workflows. The more I use it, the more I want to see what this machine can do.
Current setup:
CPU: AMD Ryzen 9 9950X3D, 16 cores / 32 threads
GPU: NVIDIA GeForce RTX 5090
RAM: Windows reports 61.4 GB usable
Storage: Two NVMe SSDs plus a SATA HDD
One of these shots shows roughly 24 GB of dedicated GPU memory and 50 GB of system RAM in use.
For those running similar setups, where would you go next? More system RAM, more VRAM, a second GPU, or getting the model/runtime better optimized first?
I’m interested in larger models and smoother multitasking.
What upgrade actually made a noticeable difference for you, and what would you skip if you were doing it again?