Tagged “hardware”
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Local vs Cloud LLMs: Privacy, Cost, and When Each Wins
An honest comparison of running LLMs locally versus using cloud APIs — privacy, cost, latency, capability, and which to choose for real use cases.
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Understanding GGUF and Quantization Levels
What GGUF is, how to read quantization labels like Q4_K_M, and how to choose a quant that balances quality and memory for your hardware.
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How Much VRAM and RAM Do You Actually Need to Run an LLM?
A practical guide to sizing local LLMs: how to estimate VRAM and RAM from parameters and quantization, plus what happens when a model doesn't fit.