Buyer rule
Start with the workflow path
Start with ComfyUI install path, GPU support, PyTorch build, graph complexity, model storage, RAM target, scratch storage, browser setup, and cooling.

ComfyUI AI video workstation
ComfyUI video workflows depend on graph complexity, PyTorch build, GPU support, model folders, storage speed, browser stability, and cooling. Build the cart around the whole local environment instead of only the GPU name.
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Buyer rule
Start with ComfyUI install path, GPU support, PyTorch build, graph complexity, model storage, RAM target, scratch storage, browser setup, and cooling.
Risk
The common mistake is buying a compact GPU setup before checking driver support, local Python environment needs, custom node storage, and sustained cooling.
Amazon AI video lanes
Use these lanes after the model path, app stack, GPU support, storage plan, cooling, display layout, backup route, and power protection are specific. Amazon has the live listing details, seller terms, shipping, returns, and exact product specifications.
System lane for node graphs, local model folders, prompt iteration, previews, and exports.
GPU lane for buyers prioritizing local acceleration, memory headroom, and graph-heavy workflows.
Memory lane for browser tabs, node graphs, model tools, image tools, and export work.
Storage lane for checkpoints, LoRAs, video models, inputs, outputs, and workflow backups.
Display lane for ComfyUI browser, preview windows, file browser, notes, and reference clips.
Case lane for sustained GPU sessions where fan noise, intake, and cable room matter.