{"product_id":"b0gxsg4cqg","title":"Local LLM Inference Optimization: A Comprehensive Guide to Quantization, Hardware Acceleration, and Efficient Private AI Deployment","description":"\u003cp\u003eStop Renting Intelligence. Start Optimizing Your Own.\u003cbr\u003e\nDo you want to run 70B parameter models on a single consumer GPU? Are you tired of high API costs, network latency, and the privacy risks of cloud-based AI?\u003cbr\u003e\nThe  Local LLM Revolution  is here, but running Large Language Models (LLMs) privately is only half the battle. To make them truly useful, you must master  Inference Optimization .\u003cbr\u003e\nIn  Local LLM Inference Optimization , you will move beyond basic out-of-the-box setups and dive into the high-performance engineering required to squeeze every drop of power from your hardware. Whether you are using NVIDIA CUDA, Apple Silicon (MLX), or AMD ROCm, this comprehensive guide provides the technical blueprint for the sovereign engineer.\u003c\/p\u003e\n\n\u003cp\u003eWhat You Will Master: The Quantization Deep-Dive:  Learn to navigate the Quantization Tax using  GGUF, EXL2, AWQ, and GPTQ . Move from FP32 to 4-bit and even  1.58-bit (BitNet)  without losing the model’s mind. Advanced Memory Management:  Defeat Out of Memory (OOM) errors by mastering  KV Cache Management, PagedAttention , and  FlashAttention 2 \u0026amp; 3. The Speed Multipliers:  Double your Tokens Per Second (TPS) using  Speculative Decoding, Continuous Batching , and  Lookahead   Heuristics. Hardware Architecture:  Architect high-performance local servers using  Multi-GPU Pipeline Parallelism  and  CPU\/GPU  offloading strategies. Context Window Expansion:  Use  RoPE Scaling, YaRN,  and  LongRoPE  to push 8k models to  128k+ context  on consumer hardware. The Full Local Stack:  Step-by-step guides for  Llama.cpp, Ollama, vLLM, and TGI (Text Generation Inference). Security \u0026amp; Privacy:  Deploy  Air-Gapped AI environments  and secure your infrastructure using  Safetensors  and local sandboxing. Why This Book?\u003cbr\u003e\nThis book focuses on  Deployment and Efficiency.  It is written for the Lead Engineer, the Privacy-Conscious CTO, and the Prosumer Hobbyist who demands low  Time to First Token (TTFT ) and maximum  Perf\/Watt .\u003cbr\u003e\nStop paying for tokens. Own your weights.  Optimize your future.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":54230265004395,"sku":"YSL25509","price":5.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0978\/1674\/0203\/files\/716ksU9EIGL._SY1500.jpg?v=1792831759","url":"https:\/\/www.booktavero.com\/products\/b0gxsg4cqg","provider":"BookTavero","version":"1.0","type":"link"}