AI. GPUs
For local AI the number that matters most is memory. More VRAM means bigger models running fully on the card, faster and without the cloud. These are the workstation cards I build AI machines around. Prices on these move fast, so text me for today's price and I will match the card to what you actually need to run.
Add photo96GB of memory on one card. Runs the biggest local models without splitting them across cards, and pairs up for multi-GPU builds. The top of the line for serious local AI and heavy rendering.
Add photo32GB of memory with ROCm support for local AI. Strong inference for mid-size models at a fraction of the top-tier price, and a single-fan blower design that stacks well in multi-GPU workstations.
Add photo32GB of memory, certified drivers for CAD and creative apps, and solid local AI inference. The value pick for 32GB of VRAM.
Add photo24GB in a compact blower card. The entry point for running local AI models on-site, and easy to fit two or more in one build.
Building the whole machine? See the AI workstation builds. Not sure whether to go AMD or NVIDIA? Read my take.
AI and workstation GPU prices change week to week with availability and market pricing. Contact me for a current quote before finalizing a build.