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When it comes to running Large Language Models (LLMs) and other intense data-analytics-id=”inline-link” href=”https://www.windowscentral.com/artificial-intelligence” data-before-rewrite-localise=”https://www.windowscentral.com/artificial-intelligence”>artificial intelligence workflows locally, colossal desktop PCs powered by hyper-expensive data-analytics-id=”inline-link” href=”https://www.windowscentral.com/tag/nvidia-geforce” data-before-rewrite-localise=”https://www.windowscentral.com/tag/nvidia-geforce”>NVIDIA GeForce RTX GPUs tend to reign supreme.
Even the best discrete data-analytics-id=”inline-link” href=”https://www.windowscentral.com/hardware/desktops/components/gpus” data-before-rewrite-localise=”https://www.windowscentral.com/hardware/desktops/components/gpus”>GPU quickly runs out of VRAM under these conditions, though, and that’s where data-analytics-id=”inline-link” href=”https://www.windowscentral.com/hardware/processors/amd” data-before-rewrite-localise=”https://www.windowscentral.com/hardware/processors/amd”>AMD‘s poorly…
