Guides

Definitive pages for the broad topics this site intends to own.

These guide routes are the backbone of the TurboQuant site. Each one is prerendered and internally linked so full editorial content can land into a stable URL architecture.

Outline ready18 min

The Complete Guide to LLM Quantization

A pillar page covering the full quantization landscape, from PTQ and QAT to KV-cache compression and model format choices.

LLM quantizationUpdated 2026-04-22
Published16 min

TurboQuant Explained: How It Works, Benchmarks & Tutorial

TurboQuant is Google's breakthrough KV cache quantization. Learn how it works, how it compares to GPTQ/AWQ/GGUF, see benchmarks, and follow a step-by-step implementation tutorial.

turboquantUpdated 2026-04-22
Research queued12 min

Reduce LLM VRAM and Inference Cost

A practical guide to shrinking memory pressure and improving serving efficiency with quantization and cache-aware techniques.

reduce LLM VRAM usageUpdated 2026-04-22