Inference Server
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Inference Server has 7 facts recorded in Dontopedia across 5 references, with 1 live disagreement.
Mostly:rdf:type(3), market leader is vllm(1), proxied by(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
isInferenceServerIs Inference Server(1)
- Vllm
ex:vllm
proxiesToProxies to(1)
- Caddy Proxy
ex:caddy-proxy
reverseProxiesToReverse Proxies to(1)
- Proxy Config
ex:proxy-config
Other facts (7)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Software Category | [3] |
| Rdf:type | Server | [4] |
| Rdf:type | Software Component | [5] |
| Market Leader Is Vllm | Vllm | [1] |
| Proxied by | Caddy Proxy | [2] |
| Status | cleanup | [5] |
| Cleanup Reason | way more gauges and such later | [5] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (5)
ctx:discord/blah/mcp-tools/part-11ctx:discord/blah/omega/part-981ctx:discord/blah/mcp-tools/11- full textmcp-tools-11text/plain3 KB
doc:agent/mcp-tools-11/cef2702a-5f77-4839-99b6-217d8286f04bShow excerpt
[2025-08-15 00:45] jonathan.poczatek: Which means it would benefit from any of the things ADK offers, mainly that its maintained [2025-08-15 00:45] jonathan.poczatek: And totally configurable to any llm however you want it [2025-08-15 00:45…
ctx:discord/blah/omega/975- full textomega-975text/plain3 KB
doc:agent/omega-975/a812cbdc-be43-4d16-921f-93ec64dd23deShow excerpt
[2026-01-28 12:13] uncloseai [bot]: Based on the fetched content from uncloseai.com, here are the key points to run inference with Dry (using the original Urho3D names): 1. Use the vLLM library to run models, typically with full f16 safete…
ctx:discord/blah/watt-activation/339- full textwatt-activation-339text/plain3 KB
doc:agent/watt-activation-339/b6cfe4ca-d9ef-43d5-a9f8-4c8cabbb54c7Show excerpt
[2026-03-15 19:42] xenonfun: ``` ⏺ 1010 B/s — that's garbage text (only 50 steps of training) but the speed is the point. Compare: ┌────────────────────────────────┬───────────┐ │ Mode │ Speed │ ├───────…
See also
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