Editing Openai/691c1dba-9228-800f-8463-13b3a9006306 (section)

==== - i9-11900K — great CPU for feeding data, running corpus preprocessing, and smaller models on CPU; strong single-thread performance. ====
* 2 × RTX 2080 Super — decent GPUs, each with ~8GB VRAM. Important: consumer GPUs do not combine VRAM for a single model (SLI is irrelevant for modern ML); you’ll generally use one GPU per model unless you run advanced model-parallel software (complex and often fragile).
* 64 GB RAM — very good; lets you run multiple processes and hold embeddings in memory comfortably.
* Storage: Prefer an NVMe SSD; if you don’t have one, get a 1TB NVMe when you can (cheap and massively helpful).

Bottom line: you can run 7B-class models comfortably (with quantization), and some 13B models if you use heavy quantization and GPU-CPU combination. You’ll be limited on 30B+ native runs unless you use CPU-only ggml with swapping (slow) or rent GPU for heavy lifts.