Learn how speculative decoding accelerates large language model inference by 4–5x without sacrificing output quality. Step-by-step setup for llama.cpp, and LM Studio| Hardware Corner
You’ve spent weeks picking out the parts for a powerful new computer. It has a top-tier CPU, plenty of fast storage, and maybe even a respectable graphics card. You download your first large language…| Hardware Corner
Learn what context length in large language models (LLMs) is, how it impacts VRAM usage and speed, and practical ways to optimize performance on local GPUs.| Hardware Corner
Discover how quantization can make large language models accessible on your own hardware. Practical overview of popular formats like GGUF, GPTQ, and AWQ.| Hardware Corner
