cheapest rtx 6000 ada

These days, modern AI models gulp VRAM like it’s going out of style. Whether you’re fine‑tuning a 70‑billion‑parameter LLM (e.g., Llama 70B, DeepSeek, or Flux), or running high‑end image generation with Stable Diffusion XL, ComfyUI or similar pipelines, 24–32 GB GPUs are no longer enough. The moment you try to do full 8‑bit or 4‑bit inference with large context windows — or heavy fine‑tuning — you get memory errors, out-of-memory crashes, or brutal performance penalties due to paging.