Show HN: HungryGPU – Track local AI models, patches and recipes by hardware
Community recipes and useful patches for running local AI. Explore recipes → Explore patches → OPEN INFERENCE YOUR MACHINE. Patches Recipes Creators Papers Find something worth running.
- ▪Community recipes and useful patches for running local AI.
- ▪Explore recipes → Explore patches → OPEN INFERENCE YOUR MACHINE.
- ▪Patches Recipes Creators Papers Find something worth running.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,494 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | HungryGPU |
| Canonical URL | https://hungrygpu.com |
| Publication time | Fri, 11 Sep 2026 19:49:39 +0000 |
| Retrieval time | 2026-09-11T20:03:35.140Z |
| Last seen | 2026-09-11T20:03:35.140Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Zky6f8D9grW1 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Your local AI starts here. Feed your GPU. Discover what you can run on your machine. Community recipes and useful patches for running local AI. Explore recipes → Explore patches → OPEN INFERENCE YOUR MACHINE. YOUR NEXT MODEL. Patches Recipes Creators Papers Find something worth running. Made for your hardwareWhat are you running? Pick your machine. Find your next setup. 01 / Get it runningRecipes to try →Community setups with the models, engines and instructions behind them. 02 / Improve your setupPatches for your GPU →See what changed upstream, what helps your hardware and what leaves it out. This view is about one machine. Which is yours? Or browse recipes and papers, which work without one. The gap is closing. Open weights keep closing on the best proprietary models.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at HungryGPU.
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