Local LLM Inference Optimization: A Comprehensive Guide to Quantization, Hardware Acceleration, and Efficient Private AI Deployment
Language: English
Published by Independently published, 2026
- Softcover
- Used
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: Used - As new
US$ 19.56
Quantity: Over 20 available
Add to basketItem description from seller
Unread book in perfect condition.
Seller Inventory # 53649190
- Title
- Local LLM Inference Optimization: A Comprehensive Guide to Quantization, Hardware Acceleration, and Efficient Private AI Deployment
- Author
- O. Greene, Thomas
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798258375193
Do 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?
The "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.
In 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.
What 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 & 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 & Privacy: Deploy Air-Gapped AI environments and secure your infrastructure using Safetensors and local sandboxing.
This 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.
Stop paying for tokens. Own your weights. Optimize your future.
"Synopsis" may belong to another edition of this title.
GreatBookPrices
Columbia, MD, U.S.A.
AbeBooks seller since April 6, 2009
Shipping rates within U.S.A.
| Item | 5 to 14 business days | 8 to 14 business days |
|---|---|---|
| First item | US$ 2.64 | US$ 2.64 |
Payment methods
Store description
SuperBookDeals.com is your top source for finding new books at the absolute lowest prices, guaranteed ! We offer big discounts - everyday - on millions of titles in virtually any category, from Architecture to Zoology -- and everything in between. Discover great deals and super-savings, on professional books, text book titles, the newest computer guides, or your favorite fiction authors. You'll find it all - at HUGE SAVINGS - at SuperBookDeals. Browse through our complete online product catalog today. Serving customers around the world for years, we help thousands find just the books they're looking for -- at incredibly low, bargain prices.…
Seller's business information
Expert Trading Limited
9220 Rumsey Road, Suite 101
Columbia, MD U.S.A. 21045
Terms of sale
Company Name: GreatBookPrices
Legal Entity: Expert Trading, LLC
Address: 9220 Rumsey Road, Ste 101, Columbia MD 21046
Email address: CustomerService@SuperBookDeals.com
Phone number: 410-964-0026
consumer complaints can be addressed to address above
Registration #: 52-1713923
Authorized representative: Danielle Hainsey
Shipping terms
Internal processing of your order will take about 1-2 business days. Please allow an additional 4-14 business days for Media Mail delivery. We have multiple ship-from locations - MD,IL,NJ,UK,IN,NV,TN & GA