Editorial scope
TurboQuant, GPTQ, AWQ, GGUF, LLM memory reduction, hardware fit, and benchmark-driven decision pages.
About
A focused publication about quantization systems, not a generic AI blog.
TurboQuant Guide is being built as a static-first authority site for engineers researching TurboQuant, KV-cache compression, low-bit inference, and model efficiency. The site is intentionally minimal so the content layer can scale without introducing heavy client-side code or crawl friction.
Technical posture
Next.js App Router with static export, canonical URLs, metadata routes, and intentionally low JavaScript overhead.
What comes next
Full article copy, benchmark assets, JSON-LD templates, and a deeper publishing workflow for the planned content calendar.