Positron – Purpose-built hardware for the age of generative AI
Both axes use linear scales and actual units, focused on 75 to 450 tokens per second per user. Points one and two compare efficiency at 100 and 170 tokens per second per user. Point three compares speed at equal tokens per dollar.
- ▪Both axes use linear scales and actual units, focused on 75 to 450 tokens per second per user.
- ▪Points one and two compare efficiency at 100 and 170 tokens per second per user.
- ▪Point three compares speed at equal tokens per dollar.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,165 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 | Positron |
| Canonical URL | https://www.positron.ai |
| Publication time | Thu, 01 Oct 2026 13:48:38 +0000 |
| Retrieval time | 2026-10-01T13:57:32.701Z |
| Last seen | 2026-10-01T13:57:32.701Z |
| 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 | 79-SnEuqGkAc · 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
$875MSeries C$5BValuationCo-Led byNEA · Atreides Management · Valor Equity Partners · Andra Capital · Dylan Patel's SemiAnalysis Capital · Jim ClarkRead MorePOSITRONAccelerating IntelligencePurpose-built hardware for the age of generative AIDelivering the highest performance, lowest power, and best TCO for Transformer model inference at any scale.Our ProductsShipping NowProduction-ready inference appliance supporting up to 500B Parameter ModelsComing in 2027Superintelligence-in-a-Box with up to 18.4TB Asimov memory, powered by 4 or 8 Asimov chipsComing in 2027Purpose-built AI inference accelerator silicon with up to 2.3TB memory per chipOur VisionThe Positronic BrainOur worldview on AI infrastructure and the future we're buildingEvery Transformer Runs on PositronSupports all Transformer…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Positron.
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