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Llama.cpp - Run LLM Inference in C/C++ — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
howmanygpus.ai ↗	68 match 1 shared topics	howmanygpus.ai — LLM Inference GPU Calculator	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
augustas.me ↗	68 match 1 shared topics	LEDEX Forum - Join #1 AI conference in Portugal	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
autoinference.org ↗	68 match 1 shared topics	Auto Inference — Agentic LLM Inference Optimization CLI	en	artificial-intelligence Spree Commerce	robots llmsaihumans	emailphone	none
llama.app ↗	68 match 1 shared topics	llama.app - Official home for llama.cpp	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
causalcraft.com ↗	67 match 1 shared topics	Python Causal Inference Library \| Causalis	en	artificial-intelligence	robots llmsaihumans	emailphone	none
lmparley.com ↗	66 match 1 shared topics	Parley — Local AI inference mesh for teams \| On-premise LLM cluster	en	artificial-intelligence	robots llmsaihumans	emailphone	none
myrtle.ai ↗	66 match 1 shared topics	myrtle.ai Home - Low Latency AI Inference For Your ML Models	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
localaizone.com ↗	66 match 1 shared topics	Run AI Locally: Models, Tools, and Guides for On-Device Inference \| Local AI Zone	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
sitezerogpu.com ↗	66 match 1 shared topics	ZeroGPU: Compute Efficiency Layer for AI Inference	en	artificial-intelligence	robots llmsaihumans	emailphone	none
asterteksolutions.com ↗	66 match 1 shared topics	AsterTek Solutions \| Enterprise AI, Edge Inference, and Model Operations	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
2ndlawai.net ↗	65 match 1 shared topics	2ndlaw \| Governed Inference & Epistemic Research for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
2ndlaw.ai ↗	65 match 1 shared topics	2ndlaw \| Governed Inference & Epistemic Research for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
2ndlawai.com ↗	65 match 1 shared topics	2ndlaw \| Governed Inference & Epistemic Research for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
causaldatascience.org ↗	65 match 1 shared topics	CausalMLBook \| Applied Causal Inference Powered by ML and AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
causaldatascience.net ↗	65 match 1 shared topics	CausalMLBook \| Applied Causal Inference Powered by ML and AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
causal-ml.com ↗	65 match 1 shared topics	CausalMLBook \| Applied Causal Inference Powered by ML and AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
causal-machinelearning.com ↗	65 match 1 shared topics	CausalMLBook \| Applied Causal Inference Powered by ML and AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
doublemlbook.com ↗	65 match 1 shared topics	CausalMLBook \| Applied Causal Inference Powered by ML and AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.